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ORCIDIEEE Journal of Biomedical and Health Informatics, Volume 27
Volume 27, Number 1, January 2023
- Marios S. Pattichis
, Scott T. Acton, Constantinos S. Pattichis, Andreas S. Panayides:
Guest Editorial Large-Scale Medical Image and Video Analytics for Clinical Decision Support. 4-6 - Jie Yang, Yan Ou, Zhiqian Chen, Juan Liao, Wenjian Sun, Yang Luo, Chunbo Luo:
A Benchmark Dataset of Endoscopic Images and Novel Deep Learning Method to Detect Intestinal Metaplasia and Gastritis Atrophy. 7-16 - Mingxing Xu, Junxiang Chen, Jin Li, Xinxin Zhi, Wenrui Dai, Jiayuan Sun, Hongkai Xiong:
Automatic Representative Frame Selection and Intrathoracic Lymph Node Diagnosis With Endobronchial Ultrasound Elastography Videos. 29-40 - Botond Fazekas, Dmitry A. Lachinov, Guilherme Aresta, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Segmentation of Bruch's Membrane in Retinal OCT With AMD Using Anatomical Priors and Uncertainty Quantification. 41-52 - Yafei Ou, Prasoon Ambalathankandy, Ryunosuke Furuya, Seiya Kawada, Tianyu Zeng, Yujie An, Tamotsu Kamishima, Kenichi Tamura, Masayuki Ikebe:
A Sub-Pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis. 53-64 - Goutam Chakraborty, Weilun Wang, Basabi Chakraborty, Shao-Kuo Tai, Yi-Shun Lo:
Grading of HCC Biopsy Images Using Nucleus and Texture Features. 65-74 - Yuzhou Zhuang, Hong Liu, Enmin Song, Chih-Cheng Hung:
A 3D Cross-Modality Feature Interaction Network With Volumetric Feature Alignment for Brain Tumor and Tissue Segmentation. 75-86 - Chenchu Xu, Yifei Wang, Dong Zhang, Longfei Han, Yanping Zhang, Jie Chen, Shuo Li:
BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation. 87-96 - Jiangbo Shi, Tieliang Gong, Chunbao Wang, Chen Li:
Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image. 97-108 - Yu Fu, Peng Xue, Taohui Xiao, Zhili Zhang, Youren Zhang, Enqing Dong:
Semi-Supervised Adversarial Learning for Improving the Diagnosis of Pulmonary Nodules. 109-120 - Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Agnieszka Sroka-Oleksiak, Monika Brzychczy-Wloch, Bartosz Zielinski:
Identifying Bacteria Species on Microscopic Polyculture Images Using Deep Learning. 121-130 - Xiaoqi Sheng, Jiazhou Chen, Yong Liu, Bin Hu, Hongmin Cai:
Deep Manifold Harmonic Network With Dual Attention for Brain Disorder Classification. 131-142 - M. Emre Celebi, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu:
Guest Editorial Skin Image Analysis in the Age of Deep Learning. 143-144 - Weiwei Cao, Gang Yuan, Qi Liu, Chengtao Peng, Jing Xie, Xiaodong Yang, Xinye Ni, Jian Zheng:
ICL-Net: Global and Local Inter-Pixel Correlations Learning Network for Skin Lesion Segmentation. 145-156 - Xuan Li, Christian Desrosiers, Xue (Steve) Liu:
Deep Neural Forest for Out-of-Distribution Detection of Skin Lesion Images. 157-165 - Soo Ick Cho, Dongheon Lee, Byeol Han, Ji Su Lee, Ji Yeon Hong, Jin Ho Chung, Dong Hun Lee, Jung-Im Na:
Practical Training Approaches for Discordant Atopic Dermatitis Severity Datasets: Merging Methods With Soft-Label and Train-Set Pruning. 166-175 - Kyungsu Lee, Thiago Coutinho Cavalcanti, Sewoong Kim, Hah Min Lew, Dae Hun Suh, Dong Hun Lee, Jae Youn Hwang:
Multi-Task and Few-Shot Learning-Based Fully Automatic Deep Learning Platform for Mobile Diagnosis of Skin Diseases. 176-187 - Muhammad Tanveer, Chin-Teng Lin, Amit Kumar Singh:
Guest Editorial Advanced Machine Learning Algorithms for Biomedical Data and Imaging - Part II. 188-189 - Rachneet Kaur, Robert W. Motl, Richard B. Sowers, Manuel E. Hernandez:
A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson's Disease Gait Dysfunctions - A Deep Learning Approach. 190-201 - Alireza Amirshahi, Anthony Hitchcock Thomas, Amir Aminifar, Tajana Rosing, David Atienza:
M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities. 202-214 - Ying Xing, Peter V. Kochunov, Theo G. M. van Erp, Tianzhou Ma, Vince D. Calhoun, Yuhui Du:
A Novel Neighborhood Rough Set-Based Feature Selection Method and Its Application to Biomarker Identification of Schizophrenia. 215-226 - Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Chandrasekharan Kesavadas, Greeta Mathews:
Unsupervised Multi-Latent Space RL Framework for Video Summarization in Ultrasound Imaging. 227-238 - Heming Yao, Harm Derksen, Jessica R. Golbus, Justin Zhang, Keith D. Aaronson, Jonathan Gryak, Kayvan Najarian:
A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies. 239-250 - Tong Tong, Dongyang Li, Jionghui Gu, Guo Chen, Guotao Bai, Xin Yang, Kun Wang, Tian'an Jiang, Jie Tian:
Dual-Input Transformer: An End-to-End Model for Preoperative Assessment of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Ultrasonography. 251-262 - Marialuisa Gandolfi, Ilaria Boscolo Galazzo, Rudy Gasparin Pavan, Federica Cruciani, Nicola Valè, Alessandro Picelli, Silvia Francesca Storti, Nicola Smania, Gloria Menegaz:
eXplainable AI Allows Predicting Upper Limb Rehabilitation Outcomes in Sub-Acute Stroke Patients. 263-273 - Arash Shokouhmand, Haoran Wen, Samiha Khan, Joseph A. Puma, Amisha Patel, Philip Green, Farrokh Ayazi, Negar Tavassolian:
Diagnosis of Peripheral Artery Disease Using Backflow Abnormalities in Proximal Recordings of Accelerometer Contact Microphone (ACM). 274-285 - Yang Xu, Yang Yu, Miaojuan Xia, Xinjun Sheng, Xiangyang Zhu:
A Novel and Efficient Surface Electromyography Decomposition Algorithm Using Local Spatial Information. 286-295 - Yunyuan Gao, Yici Liu, Qingshan She, Jianhai Zhang:
Domain Adaptive Algorithm Based on Multi-Manifold Embedded Distributed Alignment for Brain-Computer Interfaces. 296-307 - Lukui Shi, Yixuan Zhang, Jingye Zhang:
Lung Sound Recognition Method Based on Wavelet Feature Enhancement and Time-Frequency Synchronous Modeling. 308-318 - Martin Ullrich, Nils Roth, Arne Küderle, Robert Richer, Till Gladow, Heiko Gaßner, Franz Marxreiter, Jochen Klucken, Bjoern M. Eskofier, Felix Kluge:
Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data. 319-328 - Ke Xu, Jiangtao Wang, Le Zhang, Hongyuan Zhu, Dingchang Zheng:
Dual-Stream Contrastive Learning for Channel State Information Based Human Activity Recognition. 329-338 - Chenyu Tang, Xuhang Chen, Jing Gong, Luigi G. Occhipinti, Shuo Gao:
WMNN: Wearables-Based Multi-Column Neural Network for Human Activity Recognition. 339-350 - Haniye Shayeste, Babak Mohammadzadeh Asl:
Heterogeneous Recurrence Analysis of Imaged-EEG for Spatio-Temporal Epileptic Seizure Detection. 351-362 - Zekun Tian, Dahua Li, Yi Yang, Fazheng Hou, Zhiyi Yang, Yu Song, Qiang Gao:
A Novel Domain Adversarial Networks Based on 3D-LSTM and Local Domain Discriminator for Hearing-Impaired Emotion Recognition. 363-373 - Jun Li, Tao Chen, Xiaohua Qian:
Generalizable Pancreas Segmentation Modeling in CT Imaging via Meta-Learning and Latent-Space Feature Flow Generation. 374-385 - Xingxin Xu, Qikui Zhu, Hanning Ying, Jiongcheng Li, Xiujun Cai, Shuo Li, Xiaoqing Liu, Yizhou Yu:
A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images. 386-396 - Joonho Chang, Inchul Choi, Minho Lee:
PESA R-CNN: Perihematomal Edema Guided Scale Adaptive R-CNN for Hemorrhage Segmentation. 397-408 - Weiwei Zhang, Zhen Zhou, Zhifan Gao, Guang Yang, Lei Xu, Weiwen Wu, Heye Zhang:
Multiple Adversarial Learning Based Angiography Reconstruction for Ultra-Low-Dose Contrast Medium CT. 409-420 - Lan Shi, Marianthie Wank, Yan Chen, Yibo Wang, Yachuan Liu, Emily C. Hector, Peter X. K. Song:
Sleep Classification With Artificial Synthetic Imaging Data Using Convolutional Neural Networks. 421-432 - Shuo Zhang, Yang Miao, Jun Chen, Xiwei Zhang, Lei Han, Zehao Huang, Ning Pei, Haibin Liu, Changming An:
CCS-Net: Cascade Detection Network With the Convolution Kernel Switch Block and Statistics Optimal Anchors Block in Hypopharyngeal Cancer MRI. 433-444 - Ziyu Li, Zhiyuan Zhu, Qing Li, Xia Wu:
Jointly Fusing Multi-Scale Spatial-Logical Brain Networks: A Neural Decoding Method. 445-456 - Kayla Caughlin, Elvis Duran-Sierra, Shuna Cheng, Rodrigo Cuenca-Martinez, Beena Ahmed, Jim Ji, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Yi-Shing Lisa Cheng, John Wright, Javier A. Jo, Carlos Busso:
Aligning Small Datasets Using Domain Adversarial Learning: Applications in Automated in Vivo Oral Cancer Diagnosis. 457-468 - Renping Yu, Han Zhang, Xuehai Wu, Xuan Fei, Qing Yang, Zhiwei Ma, Zengxin Qi, Di Zang, Weijun Tang, Ying Mao, Dinggang Shen:
Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction. 469-479 - Yikun Zhang, Dianlin Hu, Shilei Hao, Jin Liu, Guotao Quan, Yi Zhang, Xu Ji, Yang Chen:
DREAM-Net: Deep Residual Error Iterative Minimization Network for Sparse-View CT Reconstruction. 480-491 - Zhichao Liang, Zixiang Luo, Keyin Liu, Jingwei Qiu, Quanying Liu:
Online Learning Koopman Operator for Closed-Loop Electrical Neurostimulation in Epilepsy. 492-503 - Sicen Liu, Xiaolong Wang, Yongshuai Hou, Ge Li, Hui Wang, Hui Xu, Yang Xiang, Buzhou Tang:
Multimodal Data Matters: Language Model Pre-Training Over Structured and Unstructured Electronic Health Records. 504-514 - Patricio Colmegna, Alessandro Bisio, Ryan McFadden, Christian Wakeman, Mary Clancy Oliveri, Ralf Nass, Marc D. Breton:
Evaluation of a Web-Based Simulation Tool for Self-Management Support in Type 1 Diabetes: A Pilot Study. 515-525 - Ji A. Park, Tae H. Kim, Jihoon Kim, Yu Rang Park:
WICOX: Weight-Based Integrated Cox Model for Time-to-Event Data in Distributed Databases Without Data-Sharing. 526-537 - Yun Li, Zhe Liu, Lina Yao, Jessica J. M. Monaghan, David McAlpine:
Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis. 538-549 - Zheng Peng, Gabriele Varisco, Xi Long, Rong-Hao Liang, Deedee Kommers, Ward Cottaar, Peter Andriessen, Carola van Pul:
A Continuous Late-Onset Sepsis Prediction Algorithm for Preterm Infants Using Multi-Channel Physiological Signals From a Patient Monitor. 550-561 - Xiao-Rui Su, Pengwei Hu, Hai-Cheng Yi, Zhuhong You, Lun Hu:
Predicting Drug-Target Interactions Over Heterogeneous Information Network. 562-572 - Yue-Chao Li, Zhu-Hong You, Changqing Yu, Lei Wang, Leon Wong, Lun Hu, Pengwei Hu, Yu-An Huang:
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions. 573-582 - Hongyang Jiang, Mengdi Gao, Heng Li, Richu Jin, Hanpei Miao, Jiang Liu:
Multi-Learner Based Deep Meta-Learning for Few-Shot Medical Image Classification. 17-28
Volume 27, Number 2, February 2023
- Arun Kumar Sangaiah, Xizhao Wang, Yi-Bing Lin, Jianwei Niu, Xiaohui Yuan:
Guest Editorial Cognitive Cyber-Physical Systems With AI Based Solutions in Medical Informatics. 586-587 - Xinhua Yu, Junxin Chen, Bo Fang, Wei Wang, Li-bo Zhang, Zhihan Lv:
Cardiac LGE MRI Segmentation With Cross-Modality Image Augmentation and Improved U-Net. 588-597 - Zeng Zeng, Ziyuan Zhao, Kaixin Xu, Yangfan Li, Cen Chen, Xiaofeng Zou, Yulan Wang, Wei Wei, Pierce K. H. Chow, Xiao-Li Li:
CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data. 598-607 - Hsiu-Sen Chiang, Mu-Yen Chen, Li-Shih Liao:
Cognitive Depression Detection Cyber-Medical System Based on EEG Analysis and Deep Learning Approaches. 608-616 - Mikail Mohammed Salim, Jong Hyuk Park:
Federated Learning-Based Secure Electronic Health Record Sharing Scheme in Medical Informatics. 617-624 - Hongbo Zhu, Guangjie Han, Jianxia Hou, Xiangliang Liu, Yue Ma:
Knowledge Sharing for Pulmonary Nodule Detection in Medical Cyber-Physical Systems. 625-635 - Chao Yang, Xuyu Wang, Shiwen Mao:
TARF: Technology-Agnostic RF Sensing for Human Activity Recognition. 636-647 - Thippa Reddy Gadekallu, Mamoun Alazab, D. Jude Hemanth, Weizheng Wang:
Guest Editorial Federated Learning for Privacy Preservation of Healthcare Data in Internet of Medical Things and Patient Monitoring. 648-651 - Zhiang Xu, Yijia Guo, Chinmay Chakraborty, Qiaozhi Hua, Shengbo Chen, Keping Yu:
A Simple Federated Learning-Based Scheme for Security Enhancement Over Internet of Medical Things. 652-663 - Abdullah Lakhan, Mazin Abed Mohammed, Jan Nedoma, Radek Martinek, Prayag Tiwari, Ankit Vidyarthi, Ahmed Alkhayyat, Weiyu Wang:
Federated-Learning Based Privacy Preservation and Fraud-Enabled Blockchain IoMT System for Healthcare. 664-672 - Abdullah Lakhan, Mazin Abed Mohammed, Ahmed Noori Rashid, Seifedine Nimer Kadry, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Imran Razzak:
Restricted Boltzmann Machine Assisted Secure Serverless Edge System for Internet of Medical Things. 673-683 - Abdul Rehman Javed, Imran Razzak, Guandong Xu:
Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks. 684-690 - Junaid Ahmed, Tu N. Nguyen, Bakhtiar Ali, Muhammad Awais Javed, Jawad Mirza:
On the Physical Layer Security of Federated Learning Based IoMT Networks. 691-697 - Guangquan Xu, Chen Qi, Wenyu Dong, Lixiao Gong, Shaoying Liu, Si Chen, Jian Liu, Xi Zheng:
A Privacy-Preserving Medical Data Sharing Scheme Based on Blockchain. 698-709 - Sandi Rahmadika, Philip Virgil Astillo, Gaurav Choudhary, Daniel Gerbi Duguma, Vishal Sharma, Ilsun You:
Blockchain-Based Privacy Preservation Scheme for Misbehavior Detection in Lightweight IoMT Devices. 710-721 - Parminder Singh, Gurjot Singh Gaba, Avinash Kaur, Mustapha Hedabou, Andrei V. Gurtov:
Dew-Cloud-Based Hierarchical Federated Learning for Intrusion Detection in IoMT. 722-731 - Na Wang, Shancheng Zhang, Zheng Zhang, Junsong Fu, Jianwei Liu, Ruijin Wang:
Block-Based Privacy-Preserving Healthcare Data Ranked Retrieval in Encrypted Cloud File Systems. 732-743 - Siddartha Rachakonda, Shiva Moorthy, Anshul Jain, Aleksandr Bukharev, Anca Bucur, Francesca Manni, Thaise M. Quiterio, Lex Joosten, Nancy Irisarri Mendez:
Privacy Enhancing and Scalable Federated Learning to Accelerate AI Implementation in Cross-Silo and IoMT Environments. 744-755 - Zhaohua Li, Le Wang, Guangyao Chen, Zhiqiang Zhang, Muhammad Shafiq, Zhaoquan Gu:
E2EGI: End-to-End Gradient Inversion in Federated Learning. 756-767 - Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava:
Hyper-Graph Attention Based Federated Learning Methods for Use in Mental Health Detection. 768-777 - Mansoor Ali, Faisal Naeem, Muhammad Tariq, Georges Kaddoum:
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey. 778-789 - Ons Aouedi, Alessio Sacco, Kandaraj Piamrat, Guido Marchetto:
Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions. 790-803 - Baoru Han, Rutvij H. Jhaveri, Han Wang, Dawei Qiao, Jinglong Du:
Application of Robust Zero-Watermarking Scheme Based on Federated Learning for Securing the Healthcare Data. 804-813 - Zhiri Tang, Zhao-Hui Sun, Edmond Qi Wu, Chuan-Feng Wei, Dong Ming, Sheng-Di Chen:
MRCG: A MRI Retrieval Framework With Convolutional and Graph Neural Networks for Secure and Private IoMT. 814-822 - Omaji Samuel, Akogwu Blessing Omojo, Abdulkarim Musa Onuja, Yunisa Sunday, Prayag Tiwari, Deepak Gupta, Ghulam Hafeez, Adamu Sani Yahaya, Oluwaseun Jumoke Fatoba, Shahab Shamshirband:
IoMT: A COVID-19 Healthcare System Driven by Federated Learning and Blockchain. 823-834 - Md. Nazmul Hossen, Vijayakumari Panneerselvam, Deepika Koundal, Kawsar Ahmed, Francis M. Bui, Sobhy M. Ibrahim:
Federated Machine Learning for Detection of Skin Diseases and Enhancement of Internet of Medical Things (IoMT) Security. 835-841 - Tianyi Han, Xiaoli Gong, Fan Feng, Jin Zhang, Zhe Sun, Yu Zhang:
Privacy-Preserving Multi-Source Domain Adaptation for Medical Data. 842-853 - Ruijin Wang, Jinshan Lai, Zhiyang Zhang, Xiong Li, Pandi Vijayakumar, Marimuthu Karuppiah:
Privacy-Preserving Federated Learning for Internet of Medical Things Under Edge Computing. 854-865 - Le Sun, Jin Wu:
A Scalable and Transferable Federated Learning System for Classifying Healthcare Sensor Data. 866-877 - Amneh Alamleh, Osamah Shihab Albahri, A. A. Zaidan, Ahmed Shihab Albahri, Abdullah Hussein Alamoodi, B. B. Zaidan, Sarah Qahtan, H. A. Alsatar, Mohammed S. Al-Samarraay, Ali Najm Jasim:
Federated Learning for IoMT Applications: A Standardization and Benchmarking Framework of Intrusion Detection Systems. 878-887 - Rukhsana Ruby, Hailiang Yang, Kaishun Wu:
Anti-Jamming Strategy for Federated Learning in Internet of Medical Things: A Game Approach. 888-899 - Yao Wang, Yufei Shi, Yinlin Cheng, Zhipeng He, Xiaoyan Wei, Ziyi Chen, Yi Zhou:
A Spatiotemporal Graph Attention Network Based on Synchronization for Epileptic Seizure Prediction. 900-911 - M. Sami Zitouni, Cheul Young Park, Uichin Lee, Leontios J. Hadjileontiadis, Ahsan Khandoker:
LSTM-Modeling of Emotion Recognition Using Peripheral Physiological Signals in Naturalistic Conversations. 912-923 - Kevin Kotzen, Peter H. Charlton, Sharon Salabi, Lea Amar, Amir Landesberg, Joachim A. Behar:
SleepPPG-Net: A Deep Learning Algorithm for Robust Sleep Staging From Continuous Photoplethysmography. 924-932 - Thomas Strypsteen, Alexander Bertrand:
Bandwidth-Efficient Distributed Neural Network Architectures With Application to Neuro-Sensor Networks. 933-943 - Xianbin Zhang, Mingzhe Jiang, Kemal Polat, Adi Alhudhaif, D. Jude Hemanth, Wanqing Wu:
Detection of Atrial Fibrillation From Variable-Duration ECG Signal Based on Time-Adaptive Densely Network and Feature Enhancement Strategy. 944-955 - Yassin Khalifa, Cara Donohue, James L. Coyle, Ervin Sejdic:
Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia. 956-967 - Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer. 968-979 - Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina Dempsey, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White, Daoqiang Zhang:
CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images. 980-991 - Jie Du, Kai Guan, Peng Liu, Yuanman Li, Tianfu Wang:
Boundary-Sensitive Loss Function With Location Constraint for Hard Region Segmentation. 992-1003 - Qing Wu, Yuwei Li, Yawen Sun, Yan Zhou, Hongjiang Wei, Jingyi Yu, Yuyao Zhang:
An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural Representation. 1004-1015 - Dilbag Singh, Manjit Kaur, Jazem Mutared Alanazi, Ahmad Ali AlZubi, Heung-No Lee:
Efficient Evolving Deep Ensemble Medical Image Captioning Network. 1016-1025 - Yuwen Zeng, Xiaoyong Zhang, Yusuke Kawasumi, Akihito Usui, Kei Ichiji, Masato Funayama, Noriyasu Homma:
A 2.5D Deep Learning-Based Method for Drowning Diagnosis Using Post-Mortem Computed Tomography. 1026-1035 - Selahattin Cansiz, Cem Kesim, Sevval Nur Bektas, Zeynep Kulali, Murat Hasanreisoglu, Cigdem Gunduz Demir:
FourierNet: Shape-Preserving Network for Henle's Fiber Layer Segmentation in Optical Coherence Tomography Images. 1036-1047 - Meng Wang, Huiyan Jiang, Tianyu Shi, Yu-Dong Yao:
SCL-Net: Structured Collaborative Learning for PET/CT Based Tumor Segmentation. 1048-1059 - Xuenan Liu, Xuezhi Yang, Rencheng Song, Dingliang Wang, Longwei Li:
PFDNet: A Pulse Feature Disentanglement Network for Atrial Fibrillation Screening From Facial Videos. 1060-1071 - Shengjie Zhang, Bohan Ren, Ziqi Yu, Haibo Yang, Xiaoyang Han, Xiang Chen, Yuan Zhou, Dinggang Shen, Xiao-Yong Zhang:
TW-Net: Transformer Weighted Network for Neonatal Brain MRI Segmentation. 1072-1083 - Miao Qi, Amar K. Das, Kristin P. Bennett:
Planning and Monitoring Equitable Clinical Trial Enrollment Using Goal Programming. 1084-1095 - Jiarun Cao, Elke M. van Veen, Niels Peek, Andrew G. Renehan, Sophia Ananiadou:
A Novel Automated Approach to Mutation-Cancer Relation Extraction by Incorporating Heterogeneous Knowledge. 1096-1105 - Yikuan Li, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi:
Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records. 1106-1117 - Chuanhao Zhang, Emil Jovanov, Hongen Liao, Yuan-Ting Zhang, Benny Lo, Yuan Zhang, Cuntai Guan:
Video Based Cocktail Causal Container for Blood Pressure Classification and Blood Glucose Prediction. 1118-1128 - Feiyun Xiao, Biqing Zhong, Yanming Wu, Yong Wang:
A Real-Time Bionic Method Inspired by Neural Oscillators for Estimation and Extraction of Pathological Tremor. 1129-1139 - Yingwen Zhao, Zhihao Yang, Yongkai Hong, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Improving Protein Function Prediction by Adaptively Fusing Information From Protein Sequences and Biomedical Literature. 1140-1148
Volume 27, Number 3, March 2023
- Haibin Lv, Enrico Natalizio, Houbing Song, Shehzad Ashraf:
Guest Editorial Medical Image Analysis Embedded on Microprocessors. 1152-1153 - Ch. Rupa, M. Harshitha, Gautam Srivastava, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta:
Securing Multimedia Using a Deep Learning Based Chaotic Logistic Map. 1154-1162 - Shuan-hu Di, Yu-Qian Zhao, Miao Liao, Fan Zhang, Xiong Li:
TD-Net: A Hybrid End-to-End Network for Automatic Liver Tumor Segmentation From CT Images. 1163-1172 - Xun Wang, Xudong Zhang, Gan Wang, Ying Zhang, Xin Shi, Huanhuan Dai, Min Liu, Zixuan Wang, Xiangyu Meng:
TransFusionNet: Semantic and Spatial Features Fusion Framework for Liver Tumor and Vessel Segmentation Under JetsonTX2. 1173-1184 - Muhammad Tanveer, Jatin Jangir, M. A. Ganaie, Iman Beheshti, M. Tabish, Nikunj Chhabra:
Diagnosis of Schizophrenia: A Comprehensive Evaluation. 1185-1192 - Sibo Qiao, Silin Pan, Gang Luo, Shanchen Pang, Taotao Chen, Amit Kumar Singh, Zhihan Lv:
A Pseudo-Siamese Feature Fusion Generative Adversarial Network for Synthesizing High-Quality Fetal Four-Chamber Views. 1193-1204 - Ashraf Haroon Rashid, Aditya Gupta, Jhalak Gupta, Muhammad Tanveer:
Biceph-Net: A Robust and Lightweight Framework for the Diagnosis of Alzheimer's Disease Using 2D-MRI Scans and Deep Similarity Learning. 1205-1213 - KC Santosh, Sameer K. Antani:
Guest Editorial Multimodal Learning in Medical Imaging Informatics. 1214-1215 - Danqing Hu, Shaolei Li, Nan Wu, Xudong Lu:
A Multi-Modal Heterogeneous Graph Forest to Predict Lymph Node Metastasis of Non-Small Cell Lung Cancer. 1216-1224 - Na Yu, Yusen Zhang, Rui Gao:
A Tensor Method Based on Enhanced Tensor Nuclear Norm and Hypergraph Laplacian Regularization for Pan-Cancer Omics Data Analysis. 1225-1236 - Dehui Xiang, Bin Zhang, Yuxuan Lu, Shengming Deng:
Modality-Specific Segmentation Network for Lung Tumor Segmentation in PET-CT Images. 1237-1248 - Omid Rohanian, Samaneh Kouchaki, Andrew A. S. Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David A. Clifton:
Privacy-Aware Early Detection of COVID-19 Through Adversarial Training. 1249-1258 - Sujin Ahn, Minhae Kwon:
Reproduction Factor Based Latent Epidemic Model Inference: A Data-Driven Approach Using COVID-19 Datasets. 1259-1270 - Jared Leitner, Alexander Behnke, Po-Han Chiang, Michele Ritter, Marlene Millen, Sujit Dey:
Classification of Patient Recovery From COVID-19 Symptoms Using Consumer Wearables and Machine Learning. 1271-1282 - Tengfei Gao, Dan Chen, Yunbo Tang, Zhekai Ming, Xiaoli Li:
EEG Reconstruction With a Dual-Scale CNN-LSTM Model for Deep Artifact Removal. 1283-1294 - Jiaen Wu, Barna Becsek, Alessandro Schaer, Henrik Maurenbrecher, George Chatzipirpiridis, Olgaç Ergeneman, Salvador Pané, Hamdi Torun, Bradley J. Nelson:
Real-Time Gait Phase Detection on Wearable Devices for Real-World Free-Living Gait. 1295-1306 - Chunguang Chu, Zhen Zhang, Zhenxi Song, Zifan Xu, Jiang Wang, Fei Wang, Wei Liu, Liying Lu, Chen Liu, Xiaodong Zhu, Chris Fietkiewicz, Kenneth A. Loparo:
An Enhanced EEG Microstate Recognition Framework Based on Deep Neural Networks: An Application to Parkinson's Disease. 1307-1318 - Yu Liu, Yi Wei, Chang Li, Juan Cheng, Rencheng Song, Xun Chen:
Bi-CapsNet: A Binary Capsule Network for EEG-Based Emotion Recognition. 1319-1330 - Cheng Ding, Ran Xiao, Duc H. Do, David Scott Lee, Randall J. Lee, Shadi Kalantarian, Xiao Hu:
Log-Spectral Matching GAN: PPG-Based Atrial Fibrillation Detection can be Enhanced by GAN-Based Data Augmentation With Integration of Spectral Loss. 1331-1341 - Cheng Cheng, Yong Zhang, Luyao Liu, Wenzhe Liu, Lin Feng:
Multi-Domain Encoding of Spatiotemporal Dynamics in EEG for Emotion Recognition. 1342-1353 - Yujie Luo, Junyi Li, Kejing He, William Cheuk:
A Hierarchical Attention-Based Method for Sleep Staging Using Movement and Cardiopulmonary Signals. 1354-1363 - Lihong Qiao, Yonghao Gao, Bin Xiao, Xiuli Bi, Weisheng Li, Xinbo Gao:
HS-Vectors: Heart Sound Embeddings for Abnormal Heart Sound Detection Based on Time-Compressed and Frequency-Expanded TDNN With Dynamic Mask Encoder. 1364-1374 - Shirong Qiu, Yuan-Ting Zhang, Sze-Kei Lau, Ni Zhao:
Scenario Adaptive Cuffless Blood Pressure Estimation by Integrating Cardiovascular Coupling Effects. 1375-1385 - Shasha Yuan, Xiang Liu, Junliang Shang, Jin-Xing Liu, Juan Wang, Weidong Zhou:
Automatic Seizure Detection Using Logarithmic Euclidean-Gaussian Mixture Models (LE-GMMs) and Improved Deep Forest Learning. 1386-1396 - Theodoros P. Vagenas, Theodore L. Economopoulos, Christos Sachpekidis, Antonia Dimitrakopoulou-Strauss, Leyun Pan, Astero Provata, George K. Matsopoulos:
A Decision Support System for the Identification of Metastases of Metastatic Melanoma Using Whole-Body FDG PET/CT Images. 1397-1408 - Hexiang Zhou, Yawen Huang, Yuexiang Li, Yi Zhou, Yefeng Zheng:
Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation. 1409-1418 - Yusuke Akamatsu, Yoshifumi Onishi, Hitoshi Imaoka, Junko Kameyama, Hideo Tsurushima:
Edema Estimation From Facial Images Taken Before and After Dialysis via Contrastive Multi-Patient Pre-Training. 1419-1430 - Tao Lei, Rui Sun, Xiaogang Du, Huazhu Fu, Changqing Zhang, Asoke K. Nandi:
SGU-Net: Shape-Guided Ultralight Network for Abdominal Image Segmentation. 1431-1442 - Renping Yu, Cong Pan, Xuan Fei, Mingming Chen, Dinggang Shen:
Multi-Graph Attention Networks With Bilinear Convolution for Diagnosis of Schizophrenia. 1443-1454 - Qingshan Hou, Peng Cao, Liyu Jia, Leqi Chen, Jinzhu Yang, Osmar R. Zaïane:
Image Quality Assessment Guided Collaborative Learning of Image Enhancement and Classification for Diabetic Retinopathy Grading. 1455-1466 - Dong Li, Lei Zhang, Jianwei Zhang, Xingyu Xie:
Convolutional Feature Descriptor Selection for Mammogram Classification. 1467-1476 - Susu Kang, Muyuan Yang, X. Sharon Qi, Jun Jiang, Shan Tan:
Bridging Feature Gaps to Improve Multi-Organ Segmentation on Abdominal Magnetic Resonance Image. 1477-1487 - Yuanhuai Liang, Jinxin Lv, Dun Li, Xin Yang, Zhiwei Wang, Qiang Li:
Accurate Cobb Angle Estimation on Scoliosis X-Ray Images via Deeply-Coupled Two-Stage Network With Differentiable Cropping and Random Perturbation. 1488-1499 - Sandie Cabon, Raphaël Weber, Antoine Simon, Patrick Pladys, Fabienne Porée, Guy Carrault:
Functional Age Estimation Through Neonatal Motion Characterization Using Continuous Video Recordings. 1500-1511 - Huili Zhang, Lehang Guo, Jun Wang, Shihui Ying, Jun Shi:
Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Images. 1512-1523 - Meidi Chen, Zijin Chen, Yun Xi, Xiaoya Qiao, Xiaonong Chen, Qiu Huang:
Multimodal Fusion Network for Detecting Hyperplastic Parathyroid Glands in SPECT/CT Images. 1524-1534 - Songhui Diao, Weiren Luo, Jiaxin Hou, Ricardo Lambo, Hamas A. AL-kuhali, Hanqing Zhao, Yinli Tian, Yaoqin Xie, Nazar Zaki, Wenjian Qin:
Deep Multi-Magnification Similarity Learning for Histopathological Image Classification. 1535-1545 - Duc Tri Phan, Quoc-Bao Ta, Cao Duong Ly, Cong Hoan Nguyen, Sumin Park, Jaeyeop Choi, Hwi O. Se, Junghwan Oh:
Smart Low Level Laser Therapy System for Automatic Facial Dermatological Disorder Diagnosis. 1546-1557 - Ziyue Yu, Wuman Luo, Rita Tse, Giovanni Pau:
DMNet: A Personalized Risk Assessment Framework for Elderly People With Type 2 Diabetes. 1558-1568 - Sajjad Karimi, Mohammad Bagher Shamsollahi:
A New Post-Processing Method Using Latent Structure Influence Models for Channel Fusion in Automatic Sleep Staging. 1569-1578 - Maoqi Chen, Zhiyuan Lu, Ya Zong, Xiaoyan Li, Ping Zhou:
A Novel Analysis of Compound Muscle Action Potential Scan: Staircase Function Fitting and StairFit Motor Unit Number Estimation. 1579-1587 - Peijun Hu, Xiang Li, Na Lu, Kaiqi Dong, Xueli Bai, Tingbo Liang, Jingsong Li:
Prediction of New-Onset Diabetes After Pancreatectomy With Subspace Clustering Based Multi-View Feature Selection. 1588-1599 - Sang-Min Lee, Dae-Yeon Kim, Jiyoung Woo:
Glucose Transformer: Forecasting Glucose Level and Events of Hyperglycemia and Hypoglycemia. 1600-1611 - Md Maruf Hossain Shuvo, Syed Kamrul Islam:
Deep Multitask Learning by Stacked Long Short-Term Memory for Predicting Personalized Blood Glucose Concentration. 1612-1623 - Anshul Thakur, Jacob Armstrong, Alexey Youssef, David W. Eyre, David A. Clifton:
Self-Aware SGD: Reliable Incremental Adaptation Framework for Clinical AI Models. 1624-1634 - Haonan Huang, Yuping Sun, Meijing Lan, Huizhe Zhang, Guobo Xie:
GNAEMDA: Microbe-Drug Associations Prediction on Graph Normalized Convolutional Network. 1635-1643 - Meng-Meng Yin, Ying-Lian Gao, Chun-Hou Zheng, Jin-Xing Liu:
NTBiRW: A Novel Neighbor Model Based on Two-Tier Bi-Random Walk for Predicting Potential Disease-Related Microbes. 1644-1653
Volume 27, Number 4, April 2023
- Imran Razzak, Muhammad Khuram Khan, Guandong Xu, Fahmi Khalifa:
Guest Editorial Open and Interpretable AI in Computational Pathology. 1657-1660 - M. A. Ganaie, Muhammad Tanveer, Iman Beheshti:
Brain Age Prediction With Improved Least Squares Twin SVR. 1661-1669 - Shiliang Shao, Ting Wang, Asad Mumtaz, Chunhe Song, Chen Yao:
Predicting Cardiovascular and Cerebrovascular Events Based on Instantaneous High-Order Singular Entropy and Deep Belief Network. 1670-1680 - Usman Naseem, Matloob Khushi, Jinman Kim:
Vision-Language Transformer for Interpretable Pathology Visual Question Answering. 1681-1690 - Muhammad Alsherbiny, Ibrahim Radwan, Nour Moustafa, Deep Jyoti Bhuyan, Muath El-Waisi, Dennis Chang, Chunguang Li:
Trustworthy Deep Neural Network for Inferring Anticancer Synergistic Combinations. 1691-1700 - Songtao Ding, Hongyu Wang, Hu Lu, Michele Nappi, Shaohua Wan:
Two Path Gland Segmentation Algorithm of Colon Pathological Image Based on Local Semantic Guidance. 1701-1708 - Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava:
Multi-Aspect Deep Active Attention Network for Healthcare Explainable Adoption. 1709-1717 - Tanu Wadhera, Mufti Mahmud:
Brain Functional Network Topology in Autism Spectrum Disorder: A Novel Weighted Hierarchical Complexity Metric for Electroencephalogram. 1718-1725 - Zhen Wang, Shuo Jin, Linhao Li, Yongfeng Dong, Qinghua Hu:
Meta-Probability Weighting for Improving Reliability of DNNs to Label Noise. 1726-1734 - Yonglin Chen, Huabin Wang, Gong Zhang, Xiao Liu, Wei Huang, Xianjun Han, Xuejun Li, Melanie Martin, Liang Tao:
Contrastive Learning for Prediction of Alzheimer's Disease Using Brain 18F-FDG PET. 1735-1746 - Nurullah Çalik, Abdulkadir Albayrak, Asli Unlu Akhan, Ilknur Türkmen, Abdulkerim Çapar, Behcet Ugur Töreyin, Gokhan Bilgin, Bahar Muezzinoglu, Lutfiye Durak-Ata:
Classification of Cervical Precursor Lesions via Local Histogram and Cell Morphometric Features. 1747-1757 - Ahsan Habib, Chandan K. Karmakar, John Yearwood:
Interpretability and Optimisation of Convolutional Neural Networks Based on Sinc-Convolution. 1758-1769 - Di Shao, Xuequan Lu, Xiao Liu:
3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-Branch Learning. 1770-1779 - Xiangyu Liu, Zhenyu Liu, Ye Yan, Kai Wang, Aodi Wang, Xiongjun Ye, Liwei Wang, Wei Wei, Bao Li, Caixia Sun, Wei He, Xuehua Zhu, Zenan Liu, Jiangang Liu, Jian Lu, Jie Tian:
Development of Prognostic Biomarkers by TMB-Guided WSI Analysis: A Two-Step Approach. 1780-1789 - Yining Wang, Wenbin Shi, Chien-Hung Yeh:
A Novel Measure of Cardiopulmonary Coupling During Sleep Based on the Synchrosqueezing Transform Algorithm. 1790-1800 - Youngchul Kwak, Kyeongbo Kong, Woo-Jin Song, Seong-Eun Kim:
Subject-Invariant Deep Neural Networks Based on Baseline Correction for EEG Motor Imagery BCI. 1801-1812 - Shufan Yang, Julien Le Kernec, Olivier Romain, Francesco Fioranelli, Pierre Cadart, Jérémy Fix, Chenfang Ren, Giovanni Manfredi, Thierry Letertre, Israel D. Sáenz Hinostroza, Jifa Zhang, Huaiyuan Liang, Xiangrong Wang, Gang Li, Zhaoxi Chen, Kang Liu, Xiaolong Chen, Jiefang Li, Xing Wu, Yi-Chang Chen, Tian Jin:
The Human Activity Radar Challenge: Benchmarking Based on the 'Radar Signatures of Human Activities' Dataset From Glasgow University. 1813-1824 - Daivaras Sokas, Egle Tamuleviciute-Prasciene, Aurelija Beigiene, Vitalija Barasaite, Julius Marozas, Raimondas Kubilius, Raquel Bailón, Andrius Petrenas:
Wearable-Based Assessment of Heart Rate Response to Physical Stressors in Patients After Open-Heart Surgery With Frailty. 1825-1834 - Sheng Ge, Hui Yang, Ruimin Wang, Yue Leng, Keiji Iramina, Pan Lin, Haixian Wang:
Block Distributed Joint Temporal-Frequency- Phase Modulation for Steady-State Visual Evoked Potential Based Brain-Computer Interface With a Limited Number of Frequencies. 1835-1844 - Siyuan Qiu, Wenjin Wang, Hailong Jiao:
LightSeizureNet: A Lightweight Deep Learning Model for Real-Time Epileptic Seizure Detection. 1845-1856 - Eric Cito Becman, Larissa Driemeier, Oron Levin, Stephan P. Swinnen, Arturo Forner-Cordero:
Asymmetric Effects of Different Training-Testing Mismatch Types on Myoelectric Regression via Deep Learning. 1857-1868 - Matias Rusanen, Riku Huttunen, Henri Korkalainen, Sami Myllymaa, Juha Töyräs, Katja Myllymaa, Sigríður Sigurðardóttir, Kristin A. Olafsdottir, Timo Leppänen, Erna Sif Arnardóttir, Samu Kainulainen:
Generalizable Deep Learning-Based Sleep Staging Approach for Ambulatory Textile Electrode Headband Recordings. 1869-1880 - Mykola Klymenko, Sam M. Doesburg, George Medvedev, Pengcheng Xi, Urs Ribary, Vasily A. Vakorin:
Byte-Pair Encoding for Classifying Routine Clinical Electroencephalograms in Adults Over the Lifespan. 1881-1890 - Mengqi Shen, Kwok-Leung Tsui, Maury A. Nussbaum, Sunwook Kim, Fleming Lure:
An Indoor Fall Monitoring System: Robust, Multistatic Radar Sensing and Explainable, Feature-Resonated Deep Neural Network. 1891-1902 - Minkyung Jung, Daesun Ahn, Chan Min Park, Eun Jin Ha, Tae-Hoon Roh, Nam Kyu You, Dukyong Yoon, Hakseung Kim, Se-Hyuk Kim, Dong-Joo Kim:
Prediction of Serious Intracranial Hypertension from Low-Resolution Neuromonitoring in Traumatic Brain Injury: An Explainable Machine Learning Approach. 1903-1913 - Yucheng Long, Yanjuan Geng, Chenyun Dai, Guanglin Li:
A Transfer Learning Based Cross-Subject Generic Model for Continuous Estimation of Finger Joint Angles From a New User. 1914-1925 - Bruno Miguel Machado Rocha, Diogo Pessoa, Alda Marques, Paulo Carvalho, Rui Pedro Paiva:
Automatic Wheeze Segmentation Using Harmonic-Percussive Source Separation and Empirical Mode Decomposition. 1926-1934 - Chuting Zhang, Chien-Hung Yeh, Wenbin Shi:
Variational Phase-Amplitude Coupling Characterizes Signatures of Anterior Cortex Under Emotional Processing. 1935-1945 - Tianyi Zhang, Yunlu Feng, Yu Zhao, Guangda Fan, Aiming Yang, Shangqin Lyu, Peng Zhang, Fan Song, Chenbin Ma, Yangyang Sun, Youdan Feng, Guanglei Zhang:
MSHT: Multi-Stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer. 1946-1957 - Behnaz Elhaminia, Alexandra Gilbert, John Lilley, Moloud Abdar, Alejandro F. Frangi, Andrew F. Scarsbrook, Ane Appelt, Ali Gooya:
Toxicity Prediction in Pelvic Radiotherapy Using Multiple Instance Learning and Cascaded Attention Layers. 1958-1966 - Guanyu Yang, Yuting He, Yang Lv, Yang Chen, Jean-Louis Coatrieux, Xiaoxuan Sun, Qiang Wang, Yongyue Wei, Shuo Li, Yinsu Zhu:
Multi-Task Learning for Pulmonary Arterial Hypertension Prognosis Prediction via Memory Drift and Prior Prompt Learning on 3D Chest CT. 1967-1978 - Zhiwei Qu, Li Zhuo, Jie Cao, Xiaoguang Li, Hongxia Yin, Zhenchang Wang:
TP-Net: Two-Path Network for Retinal Vessel Segmentation. 1979-1990 - Quan Zhou, Zhiwen Huang, Mingyue Ding, Xuming Zhang:
Medical Image Classification Using Light-Weight CNN With Spiking Cortical Model Based Attention Module. 1991-2002 - Thanaporn Viriyasaranon, Sang Myung Woo, Jang Hwan Choi:
Unsupervised Visual Representation Learning Based on Segmentation of Geometric Pseudo-Shapes for Transformer-Based Medical Tasks. 2003-2014 - Patrice Monkam, Songbai Jin, Wenkai Lu:
Annotation Cost Minimization for Ultrasound Image Segmentation Using Cross-Domain Transfer Learning. 2015-2025 - Kanghao Chen, Weixian Lei, Shen Zhao, Wei-Shi Zheng, Ruixuan Wang:
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification. 2026-2036 - Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi:
Knowledge Distillation in Histology Landscape by Multi-Layer Features Supervision. 2037-2046 - Zheng Li, Shihui Ying, Jun Wang, Hongjian He, Jun Shi:
Reconstruction of Quantitative Susceptibility Mapping From Total Field Maps With Local Field Maps Guided UU-Net. 2047-2058 - Bo Yang, Jian Huang, Xinxing Chen, Xiaolong Li, Yasuhisa Hasegawa:
Natural Grasp Intention Recognition Based on Gaze in Human-Robot Interaction. 2059-2070 - Siyi Tang, Amara Tariq, Jared A. Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee:
Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks. 2071-2082 - Md Mozaharul Mottalib, Jessica C. Jones-Smith, Bethany Sheridan, Rahmatollah Beheshti:
Subtyping Patients With Chronic Disease Using Longitudinal BMI Patterns. 2083-2093 - Xiang Li, Sheri L. Towe, Ryan P. Bell, Rongtao Jiang, Shana A. Hall, Vince D. Calhoun, Christina S. Meade, Jing Sui:
The Individualized Prediction of Neurocognitive Function in People Living With HIV Based on Clinical and Multimodal Connectome Data. 2094-2104 - Rory O'Keeffe, Seyed Yahya Shirazi, Jinghui Yang, Sarmad Mehrdad, Smita Rao, Seyed Farokh Atashzar:
Non-Parametric Functional Muscle Network as a Robust Biomarker of Fatigue. 2105-2116 - Ying Wang, Pengfei Zhao, Hongkai Du, Yingxin Cao, Qinke Peng, Laiyi Fu:
LncDLSM: Identification of Long Non-Coding RNAs With Deep Learning-Based Sequence Model. 2117-2127 - Wenjian Ma, Shugang Zhang, Zhen Li, Mingjian Jiang, Shuang Wang, Nianfan Guo, Yuanfei Li, Xiangpeng Bi, Huasen Jiang, Zhiqiang Wei:
Predicting Drug-Target Affinity by Learning Protein Knowledge From Biological Networks. 2128-2137 - Hootan Kamran, Dionne M. Aleman, Michael W. Carter, Kieran M. Moore:
Spatio-Temporal Clustering of Multi-Location Time Series to Model Seasonal Influenza Spread. 2138-2148
Volume 27, Number 5, May 2023
- Tu N. Nguyen, Vincenzo Piuri, Lianyong Qi, Shahid Mumtaz, Warren Huang-Chen Lee:
Guest Editorial Innovations in Wearable, Implantable, Mobile, & Remote Healthcare With IoT & Sensor Informatics and Patient Monitoring. 2152-2154 - Lili Zhu, Petros Spachos, Pai Chet Ng, Yuanhao Yu, Yang Wang, Konstantinos N. Plataniotis, Dimitrios Hatzinakos:
Stress Detection Through Wrist-Based Electrodermal Activity Monitoring and Machine Learning. 2155-2165 - Laura Arjona, Luis Enrique Díez, Alfonso Bahillo, Antonio Arruza-Echevarría:
UroSound: A Smartwatch-Based Platform to Perform Non-Intrusive Sound-Based Uroflowmetry. 2166-2177 - Fraser Young, Samuel Stuart, Robert McNicol, Rosie Morris, Craig Downs, Martin Coleman, Alan Godfrey:
Bespoke Fuzzy Logic Design to Automate a Better Understanding of Running Gait Analysis. 2178-2185 - Xianghong Zhang, Ziqin Jiang, Xu Li, Pan Xu, Zeljka Lucev Vasic, Ivana Culjak, Mario Cifrek, Min Du, Yueming Gao:
Dynamics Combined With Hill Model for Functional Electrical Stimulation Ankle Angle Prediction. 2186-2196 - Xiaoqun Yu, Tiejun Ma, Jaehyuk Jang, Shuping Xiong:
Data Augmentation to Address Various Rotation Errors of Wearable Sensors for Robust Pre-impact Fall Detection. 2197-2207 - Celal Savur, Ruslan Dautov, Kamil Bukum, Xiaojuan Xia, Jean-Philippe Couderc, Gill R. Tsouri:
Monitoring Pulse Rate in the Background Using Front Facing Cameras of Mobile Devices. 2208-2218 - Chenbin Ma, Peng Zhang, Fan Song, Yangyang Sun, Guangda Fan, Tianyi Zhang, Youdan Feng, Guanglei Zhang:
KD-Informer: A Cuff-Less Continuous Blood Pressure Waveform Estimation Approach Based on Single Photoplethysmography. 2219-2230 - Jingwei Liu, Weiyang Jiang, Rong Sun, Ali Kashif Bashir, Mohammad Dahman Alshehri, Qiaozhi Hua, Keping Yu:
Conditional Anonymous Remote Healthcare Data Sharing Over Blockchain. 2231-2242 - Yi-Cheng Lo, Win-Ken Beh, Chiao-Chun Huang, An-Yeu Wu:
Noise-Level Aware Compressed Analysis Framework for Robust Electrocardiography Signal Monitoring. 2243-2254 - Xiyuan Hu, Jingpeng Sun, Jinping Dong, Xuyun Zhang:
Auditory Receptive Field Net Based Automatic Snore Detection for Wearable Devices. 2255-2263 - Somayeh Khosroazad, Ali Abedi, Marie J. Hayes:
Sleep Signal Analysis for Early Detection of Alzheimer's Disease and Related Dementia (ADRD). 2264-2275 - Nan Bao, Jiajun Du, Chengyang Wu, Duo Hong, Junxin Chen, Robert M. Nowak, Zhihan Lv:
Wi-Breath: A WiFi-Based Contactless and Real-Time Respiration Monitoring Scheme for Remote Healthcare. 2276-2285 - Varun G. Menon, Mainak Adhikari, D. Jude Hemanth, Danda B. Rawat:
Guest Editorial Advanced Wearable Sensors for Smart Monitoring and Disease Prediction. 2286-2287 - Atul Chaudhary, Rahul Mishra, Hari Prabhat Gupta, Kaushal K. Shukla:
Jointly Prediction of Activities, Locations, and Starting Times for Isolated Elderly People. 2288-2295 - Bo Fang, Junxin Chen, Yu Liu, Wei Wang, Ke Wang, Amit Kumar Singh, Zhihan Lv:
Dual-Channel Neural Network for Atrial Fibrillation Detection From a Single Lead ECG Wave. 2296-2305 - Nidhi Pathak, Anandarup Mukherjee, Sudip Misra:
SemBox: Semantic Interoperability in a Box for Wearable e-Health Devices. 2306-2313 - Seyed Ahmad Soleymani, Shidrokh Goudarzi, Mohammad Hossein Anisi, Anish Jindal, Nazri Kama, Saiful Adli Ismail:
A Privacy-Preserving Authentication Scheme for Real-Time Medical Monitoring Systems. 2314-2322 - Win-Ken Beh, Yi-Hsuan Wu, An-Yeu Wu:
Robust PPG-Based Mental Workload Assessment System Using Wearable Devices. 2323-2333 - Zhiyan Xu, Debiao He, Pandi Vijayakumar, Brij B. Gupta, Jian Shen:
Certificateless Public Auditing Scheme With Data Privacy and Dynamics in Group User Model of Cloud-Assisted Medical WSNs. 2334-2344 - Aya Houssein, Jacques Prioux, Steven Gastinger, Brice Martin, Fenfen Zhou, Di Ge:
Energy Expenditure Estimation From Respiratory Magnetometer Plethysmography: A Comparison Study. 2345-2352 - Hangyu Zhu, Wei Zhou, Cong Fu, Yonglin Wu, Ning Shen, Feng Shu, Huan Yu, Wei Chen, Chen Chen:
MaskSleepNet: A Cross-Modality Adaptation Neural Network for Heterogeneous Signals Processing in Sleep Staging. 2353-2364 - Nadia Mammone, Cosimo Ieracitano, Hojjat Adeli, Francesco Carlo Morabito:
AutoEncoder Filter Bank Common Spatial Patterns to Decode Motor Imagery From EEG. 2365-2376 - Yun Gu, Xinyue Zhong, Cheng Qu, Chuanjun Liu, Bin Chen:
A Domain Generative Graph Network for EEG-Based Emotion Recognition. 2377-2386 - Xiaolong Wu, Shize Jiang, Guangye Li, Shengjie Liu, Benjamin Metcalfe, Liang Chen, Dingguo Zhang:
Deep Learning With Convolutional Neural Networks for Motor Brain-Computer Interfaces Based on Stereo-Electroencephalography (SEEG). 2387-2398 - Huilin Lai, Ye Luo, Bo Li, Guokai Zhang, Jianwei Lu:
Domain-Aware Dual Attention for Generalized Medical Image Segmentation on Unseen Domains. 2399-2410 - Hongmin Cai, Huan Liu, Defu Yang, Guorong Wu, Bin Hu, Jiazhou Chen:
Estimating Outlier-Immunized Common Harmonic Waves for Brain Network Analyses on the Stiefel Manifold. 2411-2422 - Rohit Gavirni, Divij Gupta, Deepak Mishra, Arbind K. Gupta, Sanjaya Viswamitra:
Clinically Relevant Myocardium Segmentation in Cardiac Magnetic Resonance Images. 2423-2431 - Yuhui Tao, Xiao Ma, Yizhe Zhang, Kun Huang, Zexuan Ji, Wen Fan, Songtao Yuan, Qiang Chen:
LAGAN: Lesion-Aware Generative Adversarial Networks for Edema Area Segmentation in SD-OCT Images. 2432-2443 - Xiaogen Zhou, Zhiqiang Li, Yuyang Xue, Shun Chen, Meijuan Zheng, Cong Chen, Yue Yu, Xingqing Nie, Xingtao Lin, Luoyan Wang, Junlin Lan, Gang Chen, Min Du, Ensheng Xue, Tong Tong:
CUSS-Net: A Cascaded Unsupervised-Based Strategy and Supervised Network for Biomedical Image Diagnosis and Segmentation. 2444-2455 - Abhishek Midya, Jayasree Chakraborty, Rami Srouji, Raja R. Narayan, Thomas Börner, Jian Zheng, Linda M. Pak, John M. Creasy, Luz A. Escobar, Kate A. Harrington, Mithat Gönen, Michael I. D'Angelica, T. Peter Kingham, Richard K. G. Do, William R. Jarnagin, Amber L. Simpson:
Computerized Diagnosis of Liver Tumors From CT Scans Using a Deep Neural Network Approach. 2456-2464 - Tianyu Shi, Huiyan Jiang, Meng Wang, Zhaoshuo Diao, Guoxu Zhang, Yu-Dong Yao:
Metabolic Anomaly Appearance Aware U-Net for Automatic Lymphoma Segmentation in Whole-Body PET/CT Scans. 2465-2476 - Yu Luo, Manting Wei, Si Li, Jie Ling, Guobo Xie, Shun Yao:
An Effective Co-Support Guided Analysis Model for Multi-Contrast MRI Reconstruction. 2477-2488 - Minghang Chu, Mengtao Yang, Chao Xu, Yaoyao Ma, Jing Wang, Zhiwei Fan, Zhi Tao, Di Wu:
E-DGAN: An Encoder-Decoder Generative Adversarial Network Based Method for Pathological to Normal Voice Conversion. 2489-2500 - Nasim Katebi, Reza Sameni, Peter Rohloff, Gari D. Clifford:
Hierarchical Attentive Network for Gestational Age Estimation in Low-Resource Settings. 2501-2511 - Vincenzo Moscato, Marco Postiglione, Carlo Sansone, Giancarlo Sperlí:
TaughtNet: Learning Multi-Task Biomedical Named Entity Recognition From Single-Task Teachers. 2512-2523 - Yongdong Fan, Haokun Mao, Qiong Li:
A Model-Agnostic Feature Attribution Approach to Magnetoencephalography Predictions Based on Shapley Value. 2524-2535 - Giulia Noaro, Taiyu Zhu, Giacomo Cappon, Andrea Facchinetti, Pantelis Georgiou:
A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q- Learning to Improve Type 1 Diabetes Management. 2536-2544 - Kun-Der Lin, Bor-Shing Lin, Hung-Yu Sung, Bor-Shyh Lin:
Novel Smart Assistance System for Arteriosclerosis Evaluation. 2545-2552 - Shakeel A. Sheikh, Md. Sahidullah, Fabrice Hirsch, Slim Ouni:
Advancing Stuttering Detection via Data Augmentation, Class-Balanced Loss and Multi-Contextual Deep Learning. 2553-2564 - Stuti Jain, Emilie Chouzenoux, Kriti Kumar, Angshul Majumdar:
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction. 2565-2574 - Tian-Jing Qiao, Jin-Xing Liu, Junliang Shang, Shasha Yuan, Chun-Hou Zheng, Juan Wang:
A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis. 2575-2584 - Jaeuk Moon, Seungwon Jung, Sungwoo Park, Eenjun Hwang:
RESEAT: Recurrent Self-Attention Network for Multi-Regional Influenza Forecasting. 2585-2596
Volume 27, Number 6, June 2023
- Hemant Ghayvat, Manolis Tsiknakis, Subhas Chandra Mukhopadhyay:
Guest Editorial AIoPT (Artificial Intelligence of Paediatric Things): Informatics in Meeting Paediatric Needs and Patient Monitoring. 2600-2602 - Lachlan Burne, Chiranjibi Sitaula, Archana Priyadarshi, Mark B. Tracy, Omid Kavehei, Murray Hinder, Anusha Withana, Alistair Lee McEwan, Faezeh Marzbanrad:
Ensemble Approach on Deep and Handcrafted Features for Neonatal Bowel Sound Detection. 2603-2613 - Ángel Ruiz-Zafra, Daniel Precioso, Blas Salvador, Simón Pedro Lubián-López, Javier Jiménez, Isabel Benavente-Fernández, Janet Pigueiras, David Gómez-Ullate, Lionel C. Gontard:
NeoCam: An Edge-Cloud Platform for Non-Invasive Real-Time Monitoring in Neonatal Intensive Care Units. 2614-2624 - Jueng-Eun Im, Shin-Ae Yoon, Yoon Mi Shin, Seung Park:
Real-Time Prediction for Neonatal Endotracheal Intubation Using Multimodal Transformer Network. 2625-2634 - Ethan Grooby, Chiranjibi Sitaula, Davood Fattahi, Reza Sameni, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy Albert Dumont, Faezeh Marzbanrad:
Noisy Neonatal Chest Sound Separation for High-Quality Heart and Lung Sounds. 2635-2646 - Yamei Li, Shengqiong Luo, Haibo Zhang, Yinkai Zhang, Yuan Zhang, Benny Lo:
MtCLSS: Multi-Task Contrastive Learning for Semi-Supervised Pediatric Sleep Staging. 2647-2655 - Sergio Cerutti, Björn M. Eskofier, Georgia D. Tourassi:
Guest Editorial Advancing Biomedical Discovery and Healthcare Delivery Through Digital Technology. 2656-2659 - Eunji Jeon, So Young Sohn:
Digital Therapeutics Product Repositioning via Multiplex Link Prediction Based on Genomic, Chemical, and Technological Information. 2660-2669 - Antonio J. Rodríguez-Almeida, Himar Fabelo, Samuel Ortega, Alejandro Deniz, Francisco Javier Balea-Fernández, Eduardo Quevedo, Cristina Soguero-Ruíz, Ana M. Wägner, Gustavo M. Callicó:
Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets. 2670-2680 - Seyed Ali Jalalifar, Hany Soliman, Arjun Sahgal, Ali Sadeghi-Naini:
Automatic Assessment of Stereotactic Radiation Therapy Outcome in Brain Metastasis Using Longitudinal Segmentation on Serial MRI. 2681-2692 - Baoling Shan, Xin Yuan, Wei Ni, Xin Wang, Ren Ping Liu, Eryk Dutkiewicz:
Novel Graph Topology Learning for Spatio-Temporal Analysis of COVID-19 Spread. 2693-2704 - Bing-Fei Wu, Bing-Jhang Wu, Shao-En Cheng, Yu Sun, Meng-Liang Chung:
Motion-Robust Atrial Fibrillation Detection Based on Remote-Photoplethysmography. 2705-2716 - Zhi Li, Tian Jin, Xikun Hu, Yongkun Song, Jianwen Zhang, Zhenqun Sang:
Remote Respiratory and Cardiac Motion Patterns Separation With 4D Imaging Radars. 2717-2728 - Sahil Sharma, Snigdha Soni, Shalini Kaushik, Mani Kalaivani, Vatsla Dadhwal, K. Aparna Sharma, Deepak Sharma:
SwasthGarbh: A Smartphone App for Improving the Quality of Antenatal Care and Ameliorating Maternal-Fetal Health. 2729-2738 - Manuel Alejandro Rodriguez Rivera, Hasan Al-Marzouqi, Panos Liatsis:
Multi-Label Retinal Disease Classification Using Transformers. 2739-2750 - M. L. Tlachac, Avantika Shrestha, Mahum Shah, Benjamin Litterer, Elke A. Rundensteiner:
Automated Construction of Lexicons to Improve Depression Screening With Text Messages. 2751-2759 - Salman Sadiq Shuvo, Hasan Symum, Md Rubel Ahmed, Yasin Yilmaz, José Zayas-Castro:
Multi-Objective Reinforcement Learning Based Healthcare Expansion Planning Considering Pandemic Events. 2760-2770 - Ulysse Côté Allard, Minh H. Pham, Alexandra K. Schultz, Tine Nordgreen, Jim Torresen:
Adherence Forecasting for Guided Internet-Delivered Cognitive Behavioral Therapy: A Minimally Data-Sensitive Approach. 2771-2781 - Budhadev Baral, Kartik Muduli, Shweta Jakhmola, Omkar Indari, Jatin Jangir, Ashraf Haroon Rashid, Suchita Jain, Amrut Kumar Mohapatra, Shubhransu Patro, Preetinanda Parida, Namrata Misra, Ambika Prasad Mohanty, Bikash R. Sahu, Ajay Kumar Jain, Selvakumar Elangovan, Hamendra Singh Parmar, Mohammad Tanveer, Nirmal Kumar Mohakud, Hem Chandra Jha:
Redefining Lobe-Wise Ground-Glass Opacity in COVID-19 Through Deep Learning and its Correlation With Biochemical Parameters. 2782-2793 - Felix Beierle, Johannes Allgaier, Carolin Stupp, Thomas Keil, Winfried Schlee, Johannes Schobel, Carsten Vogel, Fabian Haug, Julian Haug, Marc Holfelder, Berthold Langguth, Jana Langguth, Burgi Riens, Ryan King, Lena Mulansky, Marc Schickler, Michael Stach, Peter Heuschmann, Manfred Wildner, Helmut Greger, Manfred Reichert, Hans A. Kestler, Rüdiger Pryss:
Self-Assessment of Having COVID-19 With the Corona Check mHealth App. 2794-2805 - Yonathan Eder, Yonina C. Eldar:
Sparsity-Based Multi-Person Non-Contact Vital Signs Monitoring via FMCW Radar. 2806-2817 - Duc Le, Sang Truong, Brijesh Patel, Donald A. Adjeroh, Ngan Le:
sCL-ST: Supervised Contrastive Learning With Semantic Transformations for Multiple Lead ECG Arrhythmia Classification. 2818-2828 - Md Sanzid Bin Hossain, Zhishan Guo, Hwan Choi:
Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach. 2829-2840 - Xinyu Jiang, Kianoush Nazarpour, Chenyun Dai:
Explainable and Robust Deep Forests for EMG-Force Modeling. 2841-2852 - Xinyu Shui, Yiling Chen, Xin Hu, Fei Wang, Dan Zhang:
Personality in Daily Life: Multi-Situational Physiological Signals Reflect Big-Five Personality Traits. 2853-2863 - Minghan Fu, Meiyun Wang, Yaping Wu, Na Zhang, Yongfeng Yang, Haining Wang, Yun Zhou, Yue Shang, Fang-Xiang Wu, Hairong Zheng, Dong Liang, Zhanli Hu:
A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement. 2864-2875 - Zhishan Hu, Xiujuan Qu, Lexuan Li, Xiaohan Zhou, Qin Yang, Qi Dong, Hesheng Liu, Xiaobo Li, Ying Han, Haijing Niu:
Repeated Photobiomodulation Induced Reduction of Bilateral Cortical Hemodynamic Activation During a Working Memory Task in Healthy Older Adults. 2876-2885 - Yuliang Ma, Liping Wu, Yunyuan Gao, Farong Gao, Jianhai Zhang, Zhizeng Luo:
ULFAC-Net: Ultra-Lightweight Fully Asymmetric Convolutional Network for Skin Lesion Segmentation. 2886-2897 - Yuhao Wang, Ruirui Liu, Zihao Li, Shanshan Wang, Cailian Yang, Qiegen Liu:
Variable Augmented Network for Invertible Modality Synthesis and Fusion. 2898-2909 - Weijia Zeng, Wei Li, Mengmeng Zhang, Hao Wang, Meng Lv, Yue Yang, Ran Tao:
Microscopic Hyperspectral Image Classification Based on Fusion Transformer With Parallel CNN. 2910-2921 - Jinping Liu, Mengke Li, Subo Gong, Ardashir Mohammadzadeh, Guanyi Yang:
Toward Right Ventricle Segmentation in Cardiac MRIs via Feature Multiplexing and Multiscale Weighted Convolution. 2922-2931 - Ziyi Huang, Yu Gan, Theresa Lye, Yanchen Liu, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon:
Cardiac Adipose Tissue Segmentation via Image-Level Annotations. 2932-2943 - Pei Zhou, Yanfeng Li, Houjin Chen, Yahui Peng:
Coco-Attention for Tumor Segmentation in Weakly Paired Multimodal MRI Images. 2944-2955 - Jing Wang, Shuyi Li, Luyue Yu, Aixi Qu, Qing Wang, Ju Liu, Qiang Wu:
SDPN: A Slight Dual-Path Network With Local-Global Attention Guided for Medical Image Segmentation. 2956-2967 - Junliang Shang, Qi Zou, Qianqian Ren, Boxin Guan, Feng Li, Jin-Xing Liu, Yan Sun:
GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data. 2968-2979 - Hao Guan, Ling Yue, Pew-Thian Yap, Shifu Xiao, Andrea Bozoki, Mingxia Liu:
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline With Structural MRI. 2980-2989 - Zhengwang Xia, Tao Zhou, Saqib Mamoon, Amani Alfakih, Jianfeng Lu:
A Structure-Guided Effective and Temporal-Lag Connectivity Network for Revealing Brain Disorder Mechanisms. 2990-3001 - Lulin Zou, Lijun Guo, Rong Zhang, Lixin Ni, Zhenzuo Chen, Xiuchao He, Jianhua Wang:
VLTENet: A Deep-Learning-Based Vertebra Localization and Tilt Estimation Network for Automatic Cobb Angle Estimation. 3002-3013 - Raphael Y. Cohen, Vesela P. Kovacheva:
A Methodology for a Scalable, Collaborative, and Resource-Efficient Platform, MERLIN, to Facilitate Healthcare AI Research. 3014-3025 - Xabier Jaureguibeitia, Elisabete Aramendi, Henry E. Wang, Ahamed H. Idris:
Impedance-Based Ventilation Detection and Signal Quality Control During Out-of-Hospital Cardiopulmonary Resuscitation. 3026-3036 - Li Gong, Zhiqing Xiao, Lihua Xu, Yan Ding, Zhuo Zou, Lirong Zheng:
An IoT-Based Wearable Labor Progress Monitoring System for Remote Evaluation of Admission Time to Hospital. 3037-3048 - Ruiqing Ding, Yu Zhou, Jie Xu, Yan Xie, Qiqiang Liang, He Ren, Yixuan Wang, Yanlin Chen, Leye Wang, Man Huang:
Cross-Hospital Sepsis Early Detection via Semi-Supervised Optimal Transport With Self-Paced Ensemble. 3049-3060 - Yue Wang, Han Sun, Haodong Wang, Dandan Li, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
An Effective Model for Predicting Phage-Host Interactions Via Graph Embedding Representation Learning With Multi-Head Attention Mechanism. 3061-3071 - Li Peng, Cheng Yang, Yifan Chen, Wei Liu:
Predicting CircRNA-Disease Associations via Feature Convolution Learning With Heterogeneous Graph Attention Network. 3072-3082 - Ignacio Díaz Blanco, José M. Enguita, Abel A. Cuadrado, Diego García-Pérez, Ana González, Nuria Valdés, María D. Chiara:
Exploratory Analysis of the Gene Expression Matrix Based on Dual Conditional Dimensionality Reduction. 3083-3092 - Ye Mao, Ke Xu, Luca Miglietta, Louis Kreitmann, Nicolas Moser, Pantelis Georgiou, Alison H. Holmes, Jesus Rodriguez-Manzano:
Deep Domain Adaptation Enhances Amplification Curve Analysis for Single-Channel Multiplexing in Real-Time PCR. 3093-3103
Volume 27, Number 7, July 2023
- Xiaoyu Zheng, Vincent M. Dwyer, Laura A. Barrett, Mahsa Derakhshani, Sijung Hu:
Rapid Vital Sign Extraction for Real-Time Opto-Physiological Monitoring at Varying Physical Activity Intensity Levels. 3107-3118 - Ali Nouriani, Alec Jonason, James Jean, Robert A. McGovern, Rajesh Rajamani:
System-Identification-Based Activity Recognition Algorithms With Inertial Sensors. 3119-3128 - Matteo Rossi, Davide Sala, Dario Bovio, Caterina Salito, Giulia Alessandrelli, Carolina Lombardi, Luca T. Mainardi, Pietro Cerveri:
SLEEP-SEE-THROUGH: Explainable Deep Learning for Sleep Event Detection and Quantification From Wearable Somnography. 3129-3140 - Baoxian Yu, Yue Hou, Zhiqiang Pang, Han Zhang:
Contactless Sensing-Aided Respiration Signal Acquisition Using Improved Empirical Wavelet Transform for Rhythm Detection. 3141-3151 - Shuting Sun, Huayu Chen, Gang Luo, Chang Yan, Qunxi Dong, Xuexiao Shao, Xiaowei Li, Bin Hu:
Clustering-Fusion Feature Selection Method in Identifying Major Depressive Disorder Based on Resting State EEG Signals. 3152-3163 - Annalisa Baronetto, Luisa S. Graf, Sarah Fischer, Markus F. Neurath, Oliver Amft:
Segment-Based Spotting of Bowel Sounds Using Pretrained Models in Continuous Data Streams. 3164-3174 - Xingyao Wang, Yuwen Li, Hongxiang Gao, Xianghong Cheng, Jianqing Li, Chengyu Liu:
A Causal Intervention Scheme for Semantic Segmentation of Quasi-Periodic Cardiovascular Signals. 3175-3186 - Chang-Dong Wang, Xi-Ran Zhu, Xueqing Zhou, Jiahong Li, Liping Lan, Dong Huang, Yiqing Zheng, Yue-Xin Cai:
Cross-Subject Tinnitus Diagnosis Based on Multi-Band EEG Contrastive Representation Learning. 3187-3197 - Murad Almadani, Leontios J. Hadjileontiadis, Ahsan Khandoker:
One-Dimensional W-NETR for Non-Invasive Single Channel Fetal ECG Extraction. 3198-3209 - Yuhan Chen, Pankaj Attri, Jeffrey Barahona, Michelle Hernandez, Delesha M. Carpenter, Alper Bozkurt, Edgar J. Lobaton:
Robust Cough Detection With Out-of-Distribution Detection. 3210-3221 - Tao Sun, Dongxuan Li, Bingfei Fan, Tian Tan, Peter B. Shull:
Real-Time Ground Reaction Force and Knee Extension Moment Estimation During Drop Landings Via Modular LSTM Modeling and Wearable IMUs. 3222-3233 - Jian Shen, Yanan Zhang, Huajian Liang, Zeguang Zhao, Kexin Zhu, Kun Qian, Qunxi Dong, Xiaowei Zhang, Bin Hu:
Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss. 3234-3245 - Bishal Lamichhane, Joanne Zhou, Akane Sano:
Psychotic Relapse Prediction in Schizophrenia Patients Using A Personalized Mobile Sensing-Based Supervised Deep Learning Model. 3246-3257 - Yinli Tian, Wenjian Qin, Fei Xue, Ricardo Lambo, Meiyan Yue, Songhui Diao, Lequan Yu, Yaoqin Xie, Hailin Cao, Shuo Li:
ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy. 3258-3269 - Xiuping Nie, Lilu Liu, Lifeng He, Liang Zhao, Haojian Lu, Songmei Lou, Rong Xiong, Yue Wang:
Weakly-Interactive-Mixed Learning: Less Labelling Cost for Better Medical Image Segmentation. 3270-3281 - Xiang Tian, Xuechao Liu, Tao Zhang, Jian'an Ye, Weirui Zhang, Liangliang Zhang, Xuetao Shi, Feng Fu, Zhongyu Li, Canhua Xu:
Effective Electrical Impedance Tomography Based on Enhanced Encoder-Decoder Using Atrous Spatial Pyramid Pooling Module. 3282-3291 - Xingyu Gao, Hongjie Cai, Manhua Liu:
A Hybrid Multi-Scale Attention Convolution and Aging Transformer Network for Alzheimer's Disease Diagnosis. 3292-3301 - Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J. Fulton, Tewodros Weldebirhan Arega, Kumaradevan Punithakumar, Lei Li, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro F. Queiros, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hüllebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris N. Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stéphanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir:
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. 3302-3313 - Yihua Zhi, William Kongto Hau, Heye Zhang, Zhifan Gao:
Vessel Contour Detection in Intracoronary Images via Bilateral Cross-Domain Adaptation. 3314-3325 - Radek Janca, Martin Tomásek, Adam Kalina, Petr Marusic, Pavel Krsek, Robert Lesko:
Automated Identification of Stereoelectroencephalography Contacts and Measurement of Factors Influencing Accuracy of Frame Stereotaxy. 3326-3336 - Zhiyang Lu, Jian Wang, Zheng Li, Shihui Ying, Jun Wang, Jun Shi, Dinggang Shen:
Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images. 3337-3348 - Hengyi Yang, Tao Zhou, Yi Zhou, Yizhe Zhang, Huazhu Fu:
Flexible Fusion Network for Multi-Modal Brain Tumor Segmentation. 3349-3359 - Guanghui Yue, Guibin Zhuo, Siying Li, Tianwei Zhou, Jingfeng Du, Weiqing Yan, Jingwen Hou, Weide Liu, Tianfu Wang:
Benchmarking Polyp Segmentation Methods in Narrow-Band Imaging Colonoscopy Images. 3360-3371 - Liangliang Liu, Jing Chang, Gongbo Liang, Shufeng Xiong:
Simulated Quantum Mechanics-Based Joint Learning Network for Stroke Lesion Segmentation and TICI Grading. 3372-3383 - Liangliang Liu, Jing Chang, Pei Zhang, Hongbo Qiao, Shufeng Xiong:
SASG-GCN: Self-Attention Similarity Guided Graph Convolutional Network for Multi-Type Lower-Grade Glioma Classification. 3384-3395 - Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Yuyao Yan, Jie Sun, Kaizhu Huang:
Mind the Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation. 3396-3407 - Hengfei Cui, Yifan Wang, Yan Li, Di Xu, Lei Jiang, Yong Xia, Yanning Zhang:
An Improved Combination of Faster R-CNN and U-Net Network for Accurate Multi-Modality Whole Heart Segmentation. 3408-3419 - Qunchao Jin, Hongyu Hou, Guixu Zhang, Zhi Li:
FEGNet: A Feedback Enhancement Gate Network for Automatic Polyp Segmentation. 3420-3430 - Peng Wan, Haiyan Xue, Chunrui Liu, Fang Chen, Wentao Kong, Daoqiang Zhang:
Dynamic Perfusion Representation and Aggregation Network for Nodule Segmentation Using Contrast-Enhanced US. 3431-3442 - Ruiyang Li, Longchang Xu, Kun Xie, Jianfeng Song, Xiaowen Ma, Liang Chang, Qingsen Yan:
DHT-Net: Dynamic Hierarchical Transformer Network for Liver and Tumor Segmentation. 3443-3454 - Yanxia Liu, Wenqi Wang, Yuhong Li, Haoyu Lai, Sijuan Huang, Xin Yang:
Geometry-Consistent Adversarial Registration Model for Unsupervised Multi-Modal Medical Image Registration. 3455-3466 - Pengfei Zhang, Xinjian Chen, Ziting Yin, Xin Zhou, Qingxin Jiang, Weifang Zhu, Dehui Xiang, Yun Tang, Fei Shi:
Interactive Skin Wound Segmentation Based on Feature Augment Networks. 3467-3477 - Defu Qiu, Yuhu Cheng, Xuesong Wang:
Progressive Feedback Residual Attention Network for Cardiac Magnetic Resonance Imaging Super-Resolution. 3478-3488 - Yanyu Liu, Yongsheng Zang, Dongming Zhou, Jinde Cao, Rencan Nie, Ruichao Hou, Zhaisheng Ding, Jiatian Mei:
An Improved Hybrid Network With a Transformer Module for Medical Image Fusion. 3489-3500 - Xian Lin, Li Yu, Kwang-Ting Cheng, Zengqiang Yan:
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation. 3501-3512 - Yu Fu, Peng Xue, Zhili Zhang, Enqing Dong:
PKA2-Net: Prior Knowledge-Based Active Attention Network for Accurate Pneumonia Diagnosis on Chest X-Ray Images. 3513-3524 - Ruilong Dan, Yunxiang Li, Yijie Wang, Xiaodiao Chen, Gangyong Jia, Shuai Wang, Ruiquan Ge, Guiping Qian, Qun Jin, Juan Ye, Yaqi Wang:
CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound. 3525-3536 - Ziyang Chen, Yongsheng Pan, Yong Xia:
Reconstruction-Driven Dynamic Refinement Based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation. 3537-3548 - Bor-Shyh Lin, Chih-Wei Peng, I-Jung Lee, Hung-Kai Hsu, Bor-Shing Lin:
System Based on Artificial Intelligence Edge Computing for Detecting Bedside Falls and Sleep Posture. 3549-3558 - Piergiuseppe Liuzzi, Bahia Hakiki, Alfonso Magliacano, Giorgio Chiesa, Francesco De Bellis, Francesca Cecchi, Anna Estraneo, Andrea Mannini:
The Consciousness Domain Index: External Validation and Prognostic Relevance of a Data-Driven Assessment. 3559-3568 - Alexandros Papadopoulos, Anastasios Delopoulos:
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions. 3569-3578 - Hao Liu, Cunji Wang, Peng Liu, Chengchao Liu, Zhuoya Wang, Zhiqiang Wei:
Efficient Large-Scale Virtual Screening Based on Heterogeneous Many-Core Supercomputing System. 3579-3588 - Sajjad Fouladvand, Jeffery C. Talbert, Linda P. Dwoskin, Heather Bush, Amy Lynn Meadows, Lars E. Peterson, Yash R. Mishra, Steven K. Roggenkamp, Fei Wang, Ramakanth Kavuluru, Jin Chen:
A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models. 3589-3598 - Vida Adeli, Navid Korhani, Andrea Sabo, Sina Mehdizadeh, Avril Mansfield, Alastair Flint, Andrea Iaboni, Babak Taati:
Ambient Monitoring of Gait and Machine Learning Models for Dynamic and Short-Term Falls Risk Assessment in People With Dementia. 3599-3609 - Hao Dai, Hsin-Ginn Hwang, Vincent S. Tseng:
PoEMS: Policy Network-Based Early Warning Monitoring System for Sepsis in Intensive Care Units. 3610-3621 - Wenyan Liu, Shuo Du, Na Pang, Liangyu Zhang, Guozhe Sun, Hanguang Xiao, Qi Zhao, Lisheng Xu, Yudong Yao, Jordi Alastruey, Alberto Avolio:
Central Aortic Blood Pressure Waveform Estimation with a Temporal Convolutional Network. 3622-3632 - Oliver Y. Chén, Florian Lipsmeier, Huy Phan, Frank Dondelinger, Andrew P. Creagh, Christian Gossens, Michael Lindemann, Maarten De Vos:
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones. 3633-3644 - Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar, Peixuan Zhang, Vasant G. Honavar, Fenglong Ma, Chandra Belani, Prasenjit Mitra, Sharon Xiaolei Huang:
Forecasting User Interests Through Topic Tag Predictions in Online Health Communities. 3645-3656 - Jingpeng Sun, Kai Yuan, Chen Chen, Heng Xu, Hesong Wang, Yuxing Zhi, Silong Peng, Chung-Kang Peng, Norden E. Huang, Guangrui Huang, Albert Yang:
Causality Network of Infectious Disease Revealed With Causal Decomposition. 3657-3665 - Bo Tan, Qian Liao, Ping Xu, Junjun Zhang, Zhenlan Jin, Ling Li:
Selective Enhancement of Frontal-Posterior Functional Connectivity by Anodal tDCS Over the Right Posterior Parietal Cortex During Temporal Attention. 3666-3676 - Ping Liang, Jiannan Yang, Weilan Wang, Guanjie Yuan, Min Han, Qingpeng Zhang, Zhen Li:
Deep Learning Identifies Intelligible Predictors of Poor Prognosis in Chronic Kidney Disease. 3677-3685 - Ying Wang, Ying-Lian Gao, Juan Wang, Feng Li, Jin-Xing Liu:
MSGCA: Drug-Disease Associations Prediction Based on Multi-Similarities Graph Convolutional Autoencoder. 3686-3694
Volume 27, Number 8, August 2023
- Jiayu Ye, Yanhong Yu, Gang Fu, Yunshao Zheng, Yang Liu, Yitao Zhu, Qingxiang Wang:
Analysis and Recognition of Voluntary Facial Expression Mimicry Based on Depressed Patients. 3698-3709 - Joshua Mathew, Xin Tian, Chau-Wai Wong, Simon Ho, Donald K. Milton, Min Wu:
Remote Blood Oxygen Estimation From Videos Using Neural Networks. 3710-3720 - Shadi Ghiasi, Andrea Patane, Luca Laurenti, Claudio Gentili, Enzo Pasquale Scilingo, Alberto Greco, Marta Kwiatkowska:
Physiologically-Informed Gaussian Processes for Interpretable Modelling of Psycho-Physiological States. 3721-3730 - Md. Shariful Alam, Dadong Wang, Qiyu Liao, Arcot Sowmya:
A Multi-Scale Context Aware Attention Model for Medical Image Segmentation. 3731-3739 - Ilkka Suuronen, Antti Airola, Tapio Pahikkala, Mika Murtojärvi, Valtteri Kaasinen, Henry Railo:
Budget-Based Classification of Parkinson's Disease From Resting State EEG. 3740-3747 - Ahsan Habib, Chandan K. Karmakar, John Yearwood:
Domain Agnostic Post-Processing for QRS Detection Using Recurrent Neural Network. 3748-3759 - Marta Lenatti, Alessia Paglialonga, Vanessa Orani, Melissa Ferretti, Maurizio Mongelli:
Characterization of Synthetic Health Data Using Rule-Based Artificial Intelligence Models. 3760-3769 - Zuowei Zhang, Songtao Ye, Zechao Liu, Hao Wang, Weiping Ding:
Deep Hyperspherical Clustering for Skin Lesion Medical Image Segmentation. 3770-3781 - Hao Du, Melissa Min-Szu Yao, Siqi Liu, Liangyu Chen, Wing P. Chan, Mengling Feng:
Automatic Calcification Morphology and Distribution Classification for Breast Mammograms With Multi-Task Graph Convolutional Neural Network. 3782-3793 - Guanjin Wang, Stephen Wai Hang Kwok, Muhammed Yousufuddin, Ferdous Sohel:
A Novel AUC Maximization Imbalanced Learning Approach for Predicting Composite Outcomes in COVID-19 Hospitalized Patients. 3794-3805 - Juan A. Recio-García, Belén Díaz-Agudo, Arturo Acuaviva:
Becalm: Intelligent Monitoring of Respiratory Patients. 3806-3817 - Jikun Ai, Jianjun Meng, Ximing Mai, Xiangyang Zhu:
BCI Control of a Robotic Arm Based on SSVEP With Moving Stimuli for Reach and Grasp Tasks. 3818-3829 - Congying He, Yu-Yi Chen, Chun-Ren Phang, Cory Stevenson, I-Ping Chen, Tzyy-Ping Jung, Li-Wei Ko:
Diversity and Suitability of the State-of-the-Art Wearable and Wireless EEG Systems Review. 3830-3843 - Hui Liu, Tianlei Gao, Zhaoyang Liu, Minglei Shu:
FGSQA-Net: A Weakly Supervised Approach to Fine-Grained Electrocardiogram Signal Quality Assessment. 3844-3855 - Andoni Elola, Elisabete Aramendi, Jorge Oliveira, Francesco Renna, Miguel T. Coimbra, Matthew A. Reyna, Reza Sameni, Gari D. Clifford, Ali Bahrami Rad:
Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram. 3856-3866 - Hao Jia, Fan Feng, Cesar F. Caiafa, Feng Duan, Yu Zhang, Zhe Sun, Jordi Solé-Casals:
Multi-Class Classification of Upper Limb Movements With Filter Bank Task-Related Component Analysis. 3867-3877 - Boyang Wei, Shibo Zhang, Xingjian Diao, Qiuyang Xu, Yang Gao, Nabil Alshurafa:
An End-to-End Energy-Efficient Approach for Intake Detection With Low Inference Time Using Wrist-Worn Sensor. 3878-3888 - David Jimmy Lin, Asim Hossain Gazi, Jacob Kimball, Mohammad Nikbakht, Omer T. Inan:
Real-Time Seismocardiogram Feature Extraction Using Adaptive Gaussian Mixture Models. 3889-3899 - Dongzhou Cheng, Lei Zhang, Can Bu, Xing Wang, Hao Wu, Aiguo Song:
ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition. 3900-3911 - Yang Zhao, Ke Lu, Jian Xue, Shuhua Wang, Jian Lu:
Semi-Supervised Medical Image Segmentation With Voxel Stability and Reliability Constraints. 3912-3923 - Jinrong Mu, Yucong Lin, Xianqi Meng, Jingfan Fan, Danni Ai, Defu Chen, Haixia Qiu, Jian Yang, Ying Gu:
M-CSAFN: Multi-Color Space Adaptive Fusion Network for Automated Port-Wine Stains Segmentation. 3924-3935 - Xiaoyuan Guo, Judy Wawira Gichoya, Hari Trivedi, Saptarshi Purkayastha, Imon Banerjee:
MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation. 3936-3947 - Bin Li, Wei Zhang, Hong Fu, Hao Liu, Feng Xu:
Multi-Level Constrained Intra and Inter Subject Feature Representation for Facial Video Based BVP Signal Measurement. 3948-3957 - Sun Zheng, Shuyan Wang, Hou Yingsa, Sun Meichen:
QOCT-Net: A Physics-Informed Neural Network for Intravascular Optical Coherence Tomography Attenuation Imaging. 3958-3969 - Jie Du, Xiaoci Zhang, Peng Liu, Tianfu Wang:
Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation. 3970-3981 - Jia Wu, Tingyu Yuan, Jiachen Zeng, Fangfang Gou:
A Medically Assisted Model for Precise Segmentation of Osteosarcoma Nuclei on Pathological Images. 3982-3993 - Chuyan Zhang, Yun Gu, Guang-Zhong Yang:
Contrastive Adversarial Learning for Endomicroscopy Imaging Super-Resolution. 3994-4005 - Tianyi Shi, Xiaohuan Ding, Wei Zhou, Feng Pan, Zengqiang Yan, Xiang Bai, Xin Yang:
Affinity Feature Strengthening for Accurate, Complete and Robust Vessel Segmentation. 4006-4017 - Leander Lauenburg, Zudi Lin, Ruihan Zhang, Márcia dos Santos, Siyu Huang, Ignacio Arganda-Carreras, Edward S. Boyden, Hanspeter Pfister, Donglai Wei:
3D Domain Adaptive Instance Segmentation via Cyclic Segmentation GANs. 4018-4027 - Jianhua Zhang, Yan Zhao, Xinke Liu, Jincheng Jiang, Youxiang Li:
FSTIF-UNet: A Deep Learning-Based Method Towards Automatic Segmentation of Intracranial Aneurysms in Un-Reconstructed 3D-RA. 4028-4039 - Zi-Chao Zhang, Xingzhong Zhao, Guiying Dong, Xing-Ming Zhao:
Improving Alzheimer's Disease Diagnosis With Multi-Modal PET Embedding Features by a 3D Multi-Task MLP-Mixer Neural Network. 4040-4051 - Yang Li, Beiji Zou, Peishan Dai, Miao Liao, Harrison X. Bai, Zhicheng Jiao:
AC-E Network: Attentive Context-Enhanced Network for Liver Segmentation. 4052-4061 - Liangliang Liu, Jing Chang, Zhihong Liu, Pei Zhang, Xue Xu, Hongcai Shang:
Hybrid Contextual Semantic Network for Accurate Segmentation and Detection of Small-Size Stroke Lesions From MRI. 4062-4073 - Jiao Wang, Yanjun Peng:
MHL-Net: A Multistage Hierarchical Learning Network for Head and Neck Multiorgan Segmentation. 4074-4085 - Yixiong Liang, Shuo Feng, Qing Liu, Hulin Kuang, Jianfeng Liu, Liyan Liao, Yun Du, Jianxin Wang:
Exploring Contextual Relationships for Cervical Abnormal Cell Detection. 4086-4097 - Zhongzhong Li, Yanze Jian, Jiatong Hu, Chuanmin Zhang, Xuechun Meng, Ji Liu:
SpindlesTracker: An Automatic and Low-Cost Labeled Workflow for Spindle Analysis. 4098-4109 - Tong Jin, Shujia Pan, Xue Li, Siguang Chen:
Metadata and Image Features Co-Aware Personalized Federated Learning for Smart Healthcare. 4110-4119 - Xue Feng, Daoyuan Wang, Qing Pan, Molei Yan, Xiaoqing Liu, Yanfei Shen, Luping Fang, Guolong Cai, Gangmin Ning:
Reinforcement Learning Model for Managing Noninvasive Ventilation Switching Policy. 4120-4130 - Haomiao Wang, Emmanuel Doumard, Chantal Soulé-Dupuy, Philippe Kémoun, Julien Aligon, Paul Monsarrat:
Explanations as a New Metric for Feature Selection: A Systematic Approach. 4131-4142 - Yujin Oh, Go Eun Bae, Kyung-Hee Kim, Min-Kyung Yeo, Jong Chul Ye:
Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment. 4143-4153 - Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xizhe Zhang, Fei Wang, Osmar R. Zaïane:
Graph Self-Supervised Learning With Application to Brain Networks Analysis. 4154-4165 - Kun Hu, Shaohui Mei, Wei Wang, Kaylena A. Ehgoetz Martens, Liang Wang, Simon J. G. Lewis, David D. Feng, Zhiyong Wang:
Multi-Level Adversarial Spatio-Temporal Learning for Footstep Pressure Based FoG Detection. 4166-4177 - Nan Li, Zhihao Yang, Jian Wang, Hongfei Lin:
A Self-Supervised Framework for Learning Biological Entities Representation by Fusing Class Information. 4178-4188
Volume 27, Number 9, September 2023
- Donghua Chen, Runtong Zhang:
COVID-19 Vaccine Adverse Event Detection Based on Multi-Label Classification With Various Label Selection Strategies. 4192-4203 - Yang Dai, Xiuli Li, Shanshan Liang, Lukang Wang, Qingtian Duan, Hui Yang, Chunqing Zhang, Xiaowei Chen, Longhui Li, Xingyi Li, Xiang Liao:
MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG. 4204-4215 - Zeng-Ding Liu, Ye Li, Yuan-Ting Zhang, Jia Zeng, Zu-Xian Chen, Zhi-Wei Cui, Jikui Liu, Fen Miao:
Cuffless Blood Pressure Measurement Using Smartwatches: A Large-Scale Validation Study. 4216-4227 - Zhuozheng Shi, Zhiqiang Liao, Hitoshi Tabata:
Enhancing Performance of Convolutional Neural Network-Based Epileptic Electroencephalogram Diagnosis by Asymmetric Stochastic Resonance. 4228-4239 - Keying Ma, Jianbo Lu, Benzhuo Lu:
Parameter-Efficient Densely Connected Dual Attention Network for Phonocardiogram Classification. 4240-4249 - Javier O. Pinzón Arenas, Youngsun Kong, Ki H. Chon, Hugo F. Posada-Quintero:
Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection Based on Phasic Electrodermal Activity. 4250-4260 - Ahmad Ayad, Mahdi Barhoush, Marian Frei, Benedikt Völker, Anke Schmeink:
An Efficient and Private ECG Classification System Using Split and Semi-Supervised Learning. 4261-4272 - Jonathan Martinez, Bryant Passage, Bobak J. Mortazavi, Roozbeh Jafari:
Hypothesis Scoring for Confidence-Aware Blood Pressure Estimation With Particle Filters. 4273-4284 - Katarina Mary Gunter, Andreas Brink-Kjær, Emmanuel Mignot, Helge B. D. Sørensen, Emmanuel During, Poul Jennum:
SViT: A Spectral Vision Transformer for the Detection of REM Sleep Behavior Disorder. 4285-4292 - Gongning Luo, Xinghua Ma, Jinwen Guo, Mingye Zou, Wei Wang, Yang Cao, Kuanquan Wang, Shuo Li:
Trajectory-Aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal in Intravascular Optical Coherence Tomography. 4293-4304 - Amirhossein Fallahdizcheh, Sandeep Laroia, Chao Wang:
Sequential Active Contour Based on Morphological-Driven Thresholding for Ultrasound Image Segmentation of Ascites. 4305-4316 - Shangwang Liu, Tongbo Cai, Xiufang Tang, Changgeng Wang:
MRL-Net: Multi-Scale Representation Learning Network for COVID-19 Lung CT Image Segmentation. 4317-4328 - Min Shi, Anagha Lokhande, Mojtaba Sedigh Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R. Pasquale, Tobias Elze, Michael V. Boland, Nazlee Zebardast, David S. Friedman, Lucy Q. Shen, Mengyu Wang:
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma. 4329-4340 - Yifei Yan, Rongzong Liu, Haobo Chen, Limin Zhang, Qi Zhang:
CCT-Unet: A U-Shaped Network Based on Convolution Coupled Transformer for Segmentation of Peripheral and Transition Zones in Prostate MRI. 4341-4351 - Ruben T. Lucassen, Mohammad H. Jafari, Nicole M. Duggan, Nick Jowkar, Alireza Mehrtash, Chanel E. Fischetti, Denie Bernier, Kira Prentice, Erik P. Duhaime, Mike Jin, Purang Abolmaesumi, Friso G. Heslinga, Mitko Veta, Maria Alejandra Duran Mendicuti, Sarah F. Frisken, Paul B. Shyn, Alexandra J. Golby, Edward W. Boyer, William M. Wells III, Andrew J. Goldsmith, Tina Kapur:
Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound. 4352-4361 - Junting Zhao, Zhaohu Xing, Zhihao Chen, Liang Wan, Tong Han, Huazhu Fu, Lei Zhu:
Uncertainty-Aware Multi-Dimensional Mutual Learning for Brain and Brain Tumor Segmentation. 4362-4372 - Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Xin Chen, Qi Tian, Yanfeng Wang:
Self-Supervised Tumor Segmentation With Sim2Real Adaptation. 4373-4384 - Mengjian Zhang, Guihua Wen, Jiahui Zhong, Dongliang Chen, Changjun Wang, Xuhui Huang, Shijun Zhang:
MLP-Like Model With Convolution Complex Transformation for Auxiliary Diagnosis Through Medical Images. 4385-4396 - Kiran Kokilepersaud, Stephanie Trejo Corona, Mohit Prabhushankar, Ghassan AlRegib, Charles C. Wykoff:
Clinically Labeled Contrastive Learning for OCT Biomarker Classification. 4397-4408 - Zean Liu, Yuanzhi Cheng, Shinichi Tamura:
Multi-Label Local to Global Learning: A Novel Learning Paradigm for Chest X-Ray Abnormality Classification. 4409-4420 - Kai Hu, Xiang Zhang, Dongjin Lee, Dapeng Xiong, Yuan Zhang, Xieping Gao:
Boundary-Guided and Region-Aware Network With Global Scale-Adaptive for Accurate Segmentation of Breast Tumors in Ultrasound Images. 4421-4432 - Yang Chen, Zhuchen Shao, Hao Bian, Zijie Fang, Yifeng Wang, Yuanhao Cai, Haoqian Wang, GuoJun Liu, Xi Li, Yongbing Zhang:
dMIL-Transformer: Multiple Instance Learning Via Integrating Morphological and Spatial Information for Lymph Node Metastasis Classification. 4433-4443 - Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Leon Y. Cai, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Yuankai Huo:
Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation. 4444-4453 - Guoyu Tong, Xi Wang, Huiyan Jiang, Anhua Wu, Wen Cheng, Xiao Cui, Long Bao, Ruikai Cai, Wei Cai:
A Deep Learning Model for Automatic Segmentation of Intraparenchymal and Intraventricular Hemorrhage for Catheter Puncture Path Planning. 4454-4465 - Jinhyo Shin, Wonzoo Chung:
Multi-Band CNN With Band-Dependent Kernels and Amalgamated Cross Entropy Loss for Motor Imagery Classification. 4466-4477 - Ruifei Zhang, Feng Zhang, Si Qin, Dejun Fan, Chaowei Fang, Jie Ma, Xiang Wan, Guanbin Li, Xutao Lin:
Multi-Task Learning With Hierarchical Guidance for Locating and Stratifying Submucosal Tumors. 4478-4488 - Junzhong Ji, Yaqin Zhang:
Deep Hashing Mutual Learning for Brain Network Classification. 4489-4499 - Yang Ding, Ling Feng, Lei Cao, Yi Dai, Xin Wang, Huijun Zhang, Ningyun Li, Kaisheng Zeng:
Continuous Stress Detection Based on Social Media. 4500-4511 - Zhanhe Liu, David B. Hitchcock, Ravikiran B. Singapogu:
Cannulation Skill Assessment Using Functional Data Analysis. 4512-4523 - Arifur R. Anik, Kamrul Hasan, Md. Manirul Islam, Md. Mehedi Hasan, Md. Firoj Ali, Sajal K. Das:
Non-Invasive Portable Technologies for Monitoring Breast Cancer Related Lymphedema to Facilitate Telehealth: A Scoping Review. 4524-4535 - Shuang Wang, Zheng Liu, Wentuo Yang, Yongfeng Cao, Liang Zhao, Le Xie:
Learning-Based Multimodal Information Fusion and Behavior Recognition of Vascular Interventionists' Operating Skills. 4536-4547 - Manuel Lentzen, Thomas Linden, Sai Veeranki, Sumit Madan, Diether Kramer, Werner Leodolter, Holger Fröhlich:
A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression. 4548-4558 - Pengyu Zhang, Hao Wu:
IChrom-Deep: An Attention-Based Deep Learning Model for Identifying Chromatin Interactions. 4559-4568 - Wenkang Wang, Xiangmao Meng, Ju Xiang, Yunyan Shuai, Hayat Dino Bedru, Min Li:
CACO: A Core-Attachment Method With Cross-Species Functional Ortholog Information to Detect Human Protein Complexes. 4569-4578 - Jun Wang, Chengfeng Zhou, Songchang Chen, Jianwu Hu, Minghui Wu, Xudong Jiang, Chenming Xu, Dahong Qian:
Chromosome Detection in Metaphase Cell Images Using Morphological Priors. 4579-4590 - Shunxin Xiao, Huibin Lin, Conghao Wang, Shiping Wang, Jagath C. Rajapakse:
Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis. 4591-4600 - María Martínez-García, Pablo M. Olmos:
Handling Ill-Conditioned Omics Data With Deep Probabilistic Models. 4601-4610 - Zhen Cui, Siguo Wang, Ying He, Zhan-Heng Chen, Qinhu Zhang:
DeepTPpred: A Deep Learning Approach With Matrix Factorization for Predicting Therapeutic Peptides by Integrating Length Information. 4611-4622 - Chengfeng Zhang, Zhaojin Li, Zijing Yang, Baoyi Huang, Yawen Hou, Zheng Chen:
A Dynamic Prediction Model Supporting Individual Life Expectancy Prediction Based on Longitudinal Time-Dependent Covariates. 4623-4632
Volume 27, Number 10, October 2023
- Anand Paul, Naveen K. Chilamkurti, Awais Ahmad, Syed Hassan Ahmed:
Guest Editorial Distributed Big Data Intelligence in Instantaneous E-Healthcare Services. 4636-4638 - Shudong Wang, Fuyu Wang, Sibo Qiao, Yu Zhuang, Kuijie Zhang, Shanchen Pang, Robert M. Nowak, Zhihan Lv:
MSHGANMDA: Meta-Subgraphs Heterogeneous Graph Attention Network for miRNA-Disease Association Prediction. 4639-4648 - Vincenzo Schiano Di Cola, Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo:
Insight Extraction From E-Health Bookings by Means of Hypergraph and Machine Learning. 4649-4659 - Haoran Li, Xiaomin Yang, Sihan Yang, Daoyong Wang, Gwanggil Jeon:
Transformer With Double Enhancement for Low-Dose CT Denoising. 4660-4671 - Liang Qiu, Jierong Cheng, Huxin Gao, Wei Xiong, Hongliang Ren:
Federated Semi-Supervised Learning for Medical Image Segmentation via Pseudo-Label Denoising. 4672-4683 - Peng He, Chunhui Lan, Ali Kashif Bashir, Dapeng Wu, Ruyan Wang, Rupak Kharel, Keping Yu:
Low-Latency Federated Learning via Dynamic Model Partitioning for Healthcare IoT. 4684-4695 - Fatih Altindis, Antara Banerjee, Ronald Phlypo, Bülent Yilmaz, Marco Congedo:
Transfer Learning for P300 Brain-Computer Interfaces by Joint Alignment of Feature Vectors. 4696-4706 - Freddy L. Bueno-Palomeque, Konstantinos A. Mountris, Nuria Ortigosa, Raquel Bailón, Bart H. Bijnens, Fátima Crispi, Esther Pueyo, Ana Mincholé, Pablo Laguna:
QRS-T Angles as Markers for Heart Sphericity in Subjects With Intrauterine Growth Restriction: A Simulation Study. 4707-4718 - Luiz Eduardo Virgilio da Silva, Lingyun Shi, Hunter A. Gaudio, Viveknarayanan Padmanabhan, Ryan W. Morgan, Julia M. Slovis, Rodrigo M. Forti, Sarah Morton, Yuxi Lin, Gerard H. Laurent, Jake Breimann, Bo H. Yun, Nicolina R. Ranieri, Madison Bowe, Wesley B. Baker, Todd J. Kilbaugh, Tiffany S. Ko, Fuchiang (Rich) Tsui:
Prediction of Return of Spontaneous Circulation in a Pediatric Swine Model of Cardiac Arrest Using Low-Resolution Multimodal Physiological Waveforms. 4719-4727 - Stavros Ntalampiras:
Explainable Siamese Neural Network for Classifying Pediatric Respiratory Sounds. 4728-4735 - Sihong Wei, Junfeng Gao, Yong Yang, Naixue Xiong, Jiaqi Zhang, Jian Song, Qianruo Kang, Yaqian Li, Haoan Lv:
Analysis of Weight-Directed Functional Brain Networks in the Deception State Based on EEG Signal. 4736-4747 - Huy Phan, Kristian P. Lorenzen, Elisabeth R. M. Heremans, Oliver Y. Chén, Minh C. Tran, Philipp Koch, Alfred Mertins, Mathias Baumert, Kaare B. Mikkelsen, Maarten De Vos:
L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging. 4748-4757 - Zhongli Bai, Fazheng Hou, Kaixuan Sun, Qingzhou Wu, Mu Zhu, Zemin Mao, Yu Song, Qiang Gao:
SECT: A Method of Shifted EEG Channel Transformer for Emotion Recognition. 4758-4767 - Lukui Shi, Jingye Zhang, Bo Yang, Yingjie Gao:
Lung Sound Recognition Method Based on Multi-Resolution Interleaved Net and Time-Frequency Feature Enhancement. 4768-4779 - Jun Li, Hongzhang Zhu, Tao Chen, Xiaohua Qian:
Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework. 4780-4791 - Jian Guan, Ming Fan, Tieyong Zeng, Lihua Li:
Learning Common and Task-Specific Radiomic Features via Graph Regularized NMF for the Joint Prediction of Multiple Clinical Indicators in Breast Cancer. 4792-4803 - Guang-Quan Zhou, Wen-Bo Zhang, Zhong-Qing Shi, Zhan-Ru Qi, Kai-Ni Wang, Hong Song, Jing Yao, Yang Chen:
DSANet: Dual-Branch Shape-Aware Network for Echocardiography Segmentation in Apical Views. 4804-4815 - Kaini Wang, Shuaishuai Zhuang, Juzheng Miao, Yang Chen, Jie Hua, Guang-Quan Zhou, Xiaopu He, Shuo Li:
Adaptive Frequency Learning Network With Anti-Aliasing Complex Convolutions for Colon Diseases Subtypes. 4816-4827 - Hulin Kuang, Yahui Wang, Yixiong Liang, Jin Liu, Jianxin Wang:
BEA-Net: Body and Edge Aware Network With Multi-Scale Short-Term Concatenation for Medical Image Segmentation. 4828-4839 - Maryam Sousani, Raul Fernandez Rojas, Elisabeth Preston, Maryam Ghahramani:
Toward a Multi-Modal Brain-Body Assessment in Parkinson's Disease: A Systematic Review in fNIRS. 4840-4853 - Hongyi Wang, Yingying Xu, Qingqing Chen, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin:
Adaptive Decomposition and Shared Weight Volumetric Transformer Blocks for Efficient Patch-Free 3D Medical Image Segmentation. 4854-4865 - Xinwei Li, Linjin Wang, Hong Liu, Baoqiang Ma, Lei Chu, Xiaoxi Dong, Debin Zeng, Tongtong Che, Xiaoming Jiang, Wei Wang, Jun Hu, Shuyu Li:
Syn_SegNet: A Joint Deep Neural Network for Ultrahigh-Field 7T MRI Synthesis and Hippocampal Subfield Segmentation in Routine 3T MRI. 4866-4877 - Guoyu Tong, Huiyan Jiang, Tianyu Shi, Xian-Hua Han, Yu-Dong Yao:
A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation. 4878-4889 - Zhuo Kuang, Zengqiang Yan, Huiyu Zhou, Li Yu:
Cluster-Re-Supervision: Bridging the Gap Between Image-Level and Pixel-Wise Labels for Weakly Supervised Medical Image Segmentation. 4890-4901 - Hao-Chiang Shao, Chih-Ying Chen, Meng-Hsuan Chang, Chih-Han Yu, Chia-Wen Lin, Ju-Wen Yang:
Retina-TransNet: A Gradient-Guided Few-Shot Retinal Vessel Segmentation Net. 4902-4913 - Jun Gao, Qicheng Lao, Paul Liu, Huahui Yi, Qingbo Kang, Zekun Jiang, Xiaohu Wu, Kang Li, Yuanyuan Chen, Le Zhang:
Anatomically Guided Cross-Domain Repair and Screening for Ultrasound Fetal Biometry. 4914-4925 - Dong Zhang, Jing Yang, Shaoyi Du, Wenqing Bu, Yu-Cheng Guo:
An Uncertainty-Aware and Sex-Prior Guided Biological Age Estimation From Orthopantomogram Images. 4926-4937 - Zhong Liu, Bin Huang, Huiying Wen, Zhicheng Lu, Qicai Huang, Meiqin Jiang, Changfeng Dong, Yingxia Liu, Xin Chen, Haoming Lin:
Automatic Diagnosis of Significant Liver Fibrosis From Ultrasound B-Mode Images Using a Handcrafted-Feature-Assisted Deep Convolutional Neural Network. 4938-4949 - Xinze Shen, Changdong Zhang, Xiuyi Jia, Dawei Li, Tingting Liu, Sukun Tian, Wei Wei, Yuchun Sun, Wenhe Liao:
TranSDFNet: Transformer-Based Truncated Signed Distance Fields for the Shape Design of Removable Partial Denture Clasps. 4950-4960 - Xingyu Gao, Hongrui Liu, Feng Shi, Dinggang Shen, Manhua Liu:
Brain Status Transferring Generative Adversarial Network for Decoding Individualized Atrophy in Alzheimer's Disease. 4961-4970 - Peng Qi, Xiaobing Zhang, Ioannis Kakkos, Kuijun Wu, Sujie Wang, Jingjia Yuan, Lingyun Gao, George K. Matsopoulos, Yu Sun:
Individualized Prediction of Task Performance Decline Using Pre-Task Resting-State Functional Connectivity. 4971-4982 - Yuchong Li, Tong Xia, Huoling Luo, Baochun He, Fucang Jia:
MT-FiST: A Multi-Task Fine-Grained Spatial-Temporal Framework for Surgical Action Triplet Recognition. 4983-4994 - Rahul Sharma, Tripti Goel, Muhammad Tanveer, Ponnuthurai N. Suganthan, Imran Razzak, R. Murugan:
Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis. 4995-5003 - Manjit Kaur, Dilbag Singh, Vijay Kumar, Heung-No Lee:
MLNet: Metaheuristics-Based Lightweight Deep Learning Network for Cervical Cancer Diagnosis. 5004-5014 - Zeyu Tang, Yang Nan, Simon Walsh, Guang Yang:
Adversarial Transformer for Repairing Human Airway Segmentation. 5015-5022 - Juncheng Guo, Guanghua Tan, Fan Wu, Huaxuan Wen, Kenli Li:
Fetal Ultrasound Standard Plane Detection With Coarse-to-Fine Multi-Task Learning. 5023-5031 - Grzegorz Sarapata, Yuriy Dushin, Gareth Morinan, Joshua Ong, Sanjay Budhdeo, Bernhard Kainz, Jonathan O'Keeffe:
Video-Based Activity Recognition for Automated Motor Assessment of Parkinson's Disease. 5032-5041 - Romero F. A. B. de Morais, Vuong Le, Catherine Morgan, Alicia J. Spittle, Nadia Badawi, Jane Valentine, Elizabeth M. Hurrion, Paul A Dawson, Truyen Tran, Svetha Venkatesh:
Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection. 5042-5053 - Saúl Langarica, Maria Rodriguez-Fernandez, Francis J. Doyle III, Felipe Núñez:
A Probabilistic Approach to Blood Glucose Prediction in Type 1 Diabetes Under Meal Uncertainties. 5054-5065 - Yunqi Zhu, Xuebing Yang, Yuanyuan Wu, Wensheng Zhang:
Leveraging Summary Guidance on Medical Report Summarization. 5066-5075 - Shivin Srivastava, Vaibhav Rajan:
ExpertNet: A Deep Learning Approach to Combined Risk Modeling and Subtyping in Intensive Care Units. 5076-5086 - Taiyu Zhu, Kezhi Li, Pantelis Georgiou:
Offline Deep Reinforcement Learning and Off-Policy Evaluation for Personalized Basal Insulin Control in Type 1 Diabetes. 5087-5098 - Shaobo Wang, Xinhui Du, Guangliang Liu, Hang Xing, Zengtao Jiao, Jun Yan, Youjun Liu, Haichen Lv, Yunlong Xia:
An Interpretable Data-Driven Medical Knowledge Discovery Pipeline Based on Artificial Intelligence. 5099-5109 - Junsan Zhang, Xiuxuan Shen, Shaohua Wan, Sotirios K. Goudos, Jie Wu, Ming Cheng, Weishan Zhang:
A Novel Deep Learning Model for Medical Report Generation by Inter-Intra Information Calibration. 5110-5121 - Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou:
GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial Networks. 5122-5133 - Xiaodan Xing, Javier Del Ser, Yinzhe Wu, Yang Li, Jun Xia, Lei Xu, David N. Firmin, Peter Gatehouse, Guang Yang:
HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis. 5134-5142 - Alessandra De Benedictis, Nicola Mazzocca, Alessandra Somma, Carmine Strigaro:
Digital Twins in Healthcare: An Architectural Proposal and Its Application in a Social Distancing Case Study. 5143-5154 - Yuan-Yu Chang, Sheng-Tang Wong, Emmanuel Oluwatobi Salawu, Ming-Hsuan Liao, Jui-Hung Hung, Lee-Wei Yang:
Full-Privacy Secured Search Engine Empowered by Efficient Genome-Mapping Algorithms. 5155-5164 - Shiming Wang, Jie Li, Dong Wang, Dechen Xu, Jiahuan Jin, Yadong Wang:
Predicting Drug-Disease Associations Through Similarity Network Fusion and Multi-View Feature Projection Representation. 5165-5176 - Yao Fu, Runtao Yang, Lina Zhang, Xu Fu:
HGECDA: A Heterogeneous Graph Embedding Model for CircRNA-Disease Association Prediction. 5177-5186 - Ying-Lian Gao, Qian Qiao, Juan Wang, Shasha Yuan, Jin-Xing Liu:
BioSTD: A New Tensor Multi-View Framework via Combining Tensor Decomposition and Strong Complementarity Constraint for Analyzing Cancer Omics Data. 5187-5198 - Juan Wang, Lin-Ping Wang, Shasha Yuan, Feng Li, Jin-Xing Liu, Junliang Shang:
NLRRC: A Novel Clustering Method of Jointing Non-Negative LRR and Random Walk Graph Regularized NMF for Single-Cell Type Identification. 5199-5209
Volume 27, Number 11, November 2023
- Zhao Ren, Björn W. Schuller, Björn M. Eskofier, Thanh Tam Nguyen, Wolfgang Nejdl:
Guest Editorial Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things. 5213-5215 - Hongli Chang, Bo Liu, Yuan Zong, Cheng Lu, Xuenan Wang:
EEG-Based Parkinson's Disease Recognition via Attention-Based Sparse Graph Convolutional Neural Network. 5216-5224 - Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Jianqing Li, Chengyu Liu:
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning. 5225-5236 - Zhixiao Wang, Jian Liu, Yu Tian, Tianshu Zhou, Qianghua Liu, Yunqing Qiu, Jingsong Li:
Integrating Medical Domain Knowledge for Early Diagnosis of Fever of Unknown Origin: An Interpretable Hierarchical Multimodal Neural Network Approach. 5237-5248 - Guanhua Ye, Tong Chen, Yawen Li, Lizhen Cui, Quoc Viet Hung Nguyen, Hongzhi Yin:
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation. 5249-5259 - Md Taufeeq Uddin, Ghada Zamzmi, Shaun J. Canavan:
Cooperative Learning for Personalized Context-Aware Pain Assessment From Wearable Data. 5260-5271 - Tuanjie Liang, Ning Sun, Qiong Wang, Jingyu Bu, Long Li, Yuhao Chen, Menglin Cao, Jin Ma, Tian Liu:
sEMG-Based End-to-End Continues Prediction of Human Knee Joint Angles Using the Tightly Coupled Convolutional Transformer Model. 5272-5280 - Shuaicong Hu, Ya'nan Wang, Jian Liu, Cuiwei Yang, Aiguo Wang, Kuanzheng Li, Wenxin Liu:
Semi-Supervised Learning for Low-Cost Personalized Obstructive Sleep Apnea Detection Using Unsupervised Deep Learning and Single-Lead Electrocardiogram. 5281-5292 - Niloufar Delfan, Mohamad Forouzanfar:
Hybrid Deep Morpho-Temporal Framework for Oscillometric Blood Pressure Measurement. 5293-5301 - Wei Li, Wei Huan, Shitong Shao, Bowen Hou, Aiguo Song:
MS-FRAN: A Novel Multi-Source Domain Adaptation Method for EEG-Based Emotion Recognition. 5302-5313 - Neurys Gómez, Julia Ramírez, Juan Pablo Martínez, Pablo Laguna:
Time-Warping Analysis of the T-Wave Peak-to-End Interval to Quantify Ventricular Repolarization Dispersion During Ischemia. 5314-5325 - Temesgen Mehari, Nils Strodthoff:
Towards Quantitative Precision for ECG Analysis: Leveraging State Space Models, Self-Supervision and Patient Metadata. 5326-5334 - Yang Xu, Yang Yu, Zeming Zhao, Chen Chen, Xinjun Sheng:
Cumulative Spike Train Estimation for Muscle Excitation Assessment From Surface EMG Using Spatial Spike Detection. 5335-5344 - Md. Moniruzzaman, Zhaozheng Yin, Md Sanzid Bin Hossain, Hwan Choi, Zhishan Guo:
Wearable Motion Capture: Reconstructing and Predicting 3D Human Poses From Wearable Sensors. 5345-5356 - Miguel L. Martins, Miguel T. Coimbra, Francesco Renna:
Markov-Based Neural Networks for Heart Sound Segmentation: Using Domain Knowledge in a Principled Way. 5357-5368 - Tao Wang, Hui Yu, Zhiwen Wang, Hu Chen, Yan Liu, Jingfeng Lu, Yi Zhang:
SemiMAR: Semi-Supervised Learning for CT Metal Artifact Reduction. 5369-5380 - Xianyu Wang, Shuai Liu, Ne Yang, Fang Chen, Longfei Ma, Guochen Ning, Hui Zhang, Xiaoguang Qiu, Hongen Liao:
A Segmentation Framework With Unsupervised Learning-Based Label Mapper for the Ventricular Target of Intracranial Germ Cell Tumor. 5381-5392 - Jie Zhang, Song Zhou, Yiwei Wang, Shenchao Shi, Chidan Wan, Huan Zhao, Xiong Cai, Han Ding:
Laparoscopic Image-Based Critical Action Recognition and Anticipation With Explainable Features. 5393-5404 - Kubilay Can Demir, Hannah Schieber, Tobias Weise, Daniel Roth, Matthias May, Andreas K. Maier, Seung Hee Yang:
Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition. 5405-5417 - Le Xu, Hao Ma, Yun Guan, Jiangcong Liu, Huifang Huang, Yang Zhang, Lixia Tian:
A Siamese Network With Node Convolution for Individualized Predictions Based on Connectivity Maps Extracted From Resting-State fMRI Data. 5418-5429 - Chaolin Li, Mianxin Liu, Jing Xia, Lang Mei, Qing Yang, Feng Shi, Han Zhang, Dinggang Shen:
Individualized Assessment of Brain Aβ Deposition With fMRI Using Deep Learning. 5430-5438 - Jianwei Zhang, Lei Zhang, Junyou Wang, Xin Wei, Jiaqi Li, Xian Jiang, Dan Du:
SA-RPN: A Spacial Aware Region Proposal Network for Acne Detection. 5439-5448 - Yue Gu, Shuo Miao, Yao Zhang, Jian Yang, Xiaoli Li:
Compressibility Analysis of Functional Near-Infrared Spectroscopy Signals in Children With Attention-Deficit/Hyperactivity Disorder. 5449-5458 - Permana Deny, Saewon Cheon, Ha-Young Song, Kae Won Choi:
Hierarchical Transformer for Motor Imagery-Based Brain Computer Interface. 5459-5470 - Yang Liu, Gaofeng Chen, Shumao Pang, Dong Zeng, Youde Ding, Guoxi Xie, Jianhua Ma, Ji He:
Cross-Domain Unpaired Learning for Low-Dose CT Imaging. 5471-5482 - Mateo Gende, Víctor Mallen, Joaquim de Moura, Beatriz Cordón, Elena Garcia-Martin, Clara I. Sánchez, Jorge Novo, Marcos Ortega:
Automatic Segmentation of Retinal Layers in Multiple Neurodegenerative Disorder Scenarios. 5483-5494 - Ming Fan, Guangyao Huang, Junhong Lou, Xin Gao, Tieyong Zeng, Lihua Li:
Cross-Parametric Generative Adversarial Network-Based Magnetic Resonance Image Feature Synthesis for Breast Lesion Classification. 5495-5505 - Qiaosi Yi, Faming Fang, Guixu Zhang, Tieyong Zeng:
Frequency Learning via Multi-Scale Fourier Transformer for MRI Reconstruction. 5506-5517 - Yingying Zhang, Haogang Zhu, Jian Cheng, Jingyi Wang, Xiaoyan Gu, Jiancheng Han, Ye Zhang, Ying Zhao, Yihua He, Hongjia Zhang:
Improving the Quality of Fetal Heart Ultrasound Imaging With Multihead Enhanced Self-Attention and Contrastive Learning. 5518-5529 - Constantino Álvarez Casado, Miguel Bordallo López:
Face2PPG: An Unsupervised Pipeline for Blood Volume Pulse Extraction From Faces. 5530-5541 - Ning Shen, Tingfa Xu, Shiqi Huang, Feng Mu, Jianan Li:
Expert-Guided Knowledge Distillation for Semi-Supervised Vessel Segmentation. 5542-5553 - Huibin Jin, Shouyi Chen:
Biometric Recognition Based on Recurrence Plot and InceptionV3 Model Using Eye Movements. 5554-5563 - Qiong Wu, Jun Wang, Zongqiong Sun, Lei Xiao, Wenhao Ying, Jun Shi:
Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer Using Multi-View Adaptive Weighted Graph Convolutional Networks. 5564-5575 - Lucía Gómez-Zaragozá, Javier Marín-Morales, Elena Parra Vargas, Irene Alice Chicchi Giglioli, Mariano Alcañiz Raya:
An Online Attachment Style Recognition System Based on Voice and Machine Learning. 5576-5587 - Yamiko Joseph Msosa, Arturas Grauslys, Yifan Zhou, Tao Wang, Iain E. Buchan, Paul Langan, Steven Foster, Michael Walker, Michael Pearson, Amos Folarin, Angus Roberts, Simon Maskell, Richard J. B. Dobson, Cecil Kullu, Dennis Kehoe:
Trustworthy Data and AI Environments for Clinical Prediction: Application to Crisis-Risk in People With Depression. 5588-5598 - Hans Van Gorp, Merel M. van Gilst, Pedro Fonseca, Sebastiaan Overeem, Ruud J. G. van Sloun:
Modeling the Impact of Inter-Rater Disagreement on Sleep Statistics Using Deep Generative Learning. 5599-5609 - Adriana Anido-Alonso, Diego Álvarez-Estévez:
Decentralized Data-Privacy Preserving Deep-Learning Approaches for Enhancing Inter-Database Generalization in Automatic Sleep Staging. 5610-5621 - Jiyoung Jung, HeeJoon Moon, Geunhyeok Yu, Hyoseok Hwang:
Generative Perturbation Network for Universal Adversarial Attacks on Brain-Computer Interfaces. 5622-5633 - Salih Sarp, Murat Kuzlu, Yanxiao Zhao, Özgür Güler:
Digital Twin in Healthcare: A Study for Chronic Wound Management. 5634-5643 - Eileen Wang, Irena Koprinska, Bryn Jeffries:
Sleep Apnea Prediction Using Deep Learning. 5644-5654 - Zhiwei Ning, Jinyang Wu, Yidong Ding, Ying Wang, Qinke Peng, Laiyi Fu:
BertNDA: A Model Based on Graph-Bert and Multi-Scale Information Fusion for ncRNA-Disease Association Prediction. 5655-5664 - Bai Zhang, Hanwen Wu, Yan Wang, Chenxu Xuan, Jie Gao:
scGAMNN: Graph Antoencoder-Based Single-Cell RNA Sequencing Data Integration Algorithm Using Mutual Nearest Neighbors. 5665-5674 - Rong Tang, Chang Sun, Jipeng Huang, Minglei Li, Jinmao Wei, Jian Liu:
Predicting Drug-Protein Interactions by Self-Adaptively Adjusting the Topological Structure of the Heterogeneous Network. 5675-5684
Volume 27, Number 12, December 2023
- Hongyan Cui, Xinyi Chi, Lei Wang, Xiaogang Chen:
A High-Rate Hybrid BCI System Based on High-Frequency SSVEP and sEMG. 5688-5698 - Ramesh Kumar Sah, Michael J. Cleveland, Hassan Ghasemzadeh:
Stress Monitoring in Free-Living Environments. 5699-5709 - Margaret Banker, Peter X. K. Song:
Supervised Learning of Physical Activity Features From Functional Accelerometer Data. 5710-5721 - Wenjia Gao, Dan Liu, Qisong Wang, Yongping Zhao, Jinwei Sun:
FBLPF-ABOW: An Effective Method for Blink Artifact Removal in Single-Channel EEG Signal. 5722-5733 - Jesus Antonio Sanchez-Perez, Asim Hossain Gazi, Samer A. Mabrouk, John A. Berkebile, Goktug C. Ozmen, Rishikesan Kamaleswaran, Omer T. Inan:
Enabling Continuous Breathing-Phase Contextualization via Wearable-Based Impedance Pneumography and Lung Sounds: A Feasibility Study. 5734-5744 - Emad Alyan, Stefan Arnau, Julian Elias Reiser, Stephan Getzmann, Melanie Karthaus, Edmund Wascher:
Decoding Eye Blink and Related EEG Activity in Realistic Working Environments. 5745-5754 - Tom Trigano, Shlomi Talala, David Luengo:
Adaptive Trend Filtering for ECG Denoising and Delineation. 5755-5766 - Yifan Miao, Wanqing Jiang, Nuo Su, Jun Shan, Tianzi Jiang, Nianming Zuo:
MLDA: Multi-Loss Domain Adaptor for Cross-Session and Cross-Emotion EEG-Based Individual Identification. 5767-5778 - Guanyu Chen, Tianyi Shi, Baoxing Xie, Zhicheng Zhao, Zhu Meng, Yadong Huang, Jin Dong:
SwinDAE: Electrocardiogram Quality Assessment Using 1D Swin Transformer and Denoising AutoEncoder. 5779-5790 - Guangyu Yang, Lei Zhang, Can Bu, Shuaishuai Wang, Hao Wu, Aiguo Song:
FreqSense: Adaptive Sampling Rates for Sensor-Based Human Activity Recognition Under Tunable Computational Budgets. 5791-5802 - Cem Okan Yaldiz, Mark J. Buller, Kristine L. Richardson, Sungtae An, David Jimmy Lin, Aprameya Satish, Kyla Driver, Emma Atkinson, Timothy Mesite, Christopher King, Max Bursey, Meghan Galer, Mindy L. Millard-Stafford, Michael N. Sawka, Alessio Medda, Omer T. Inan:
Early Prediction of Impending Exertional Heat Stroke With Wearable Multimodal Sensing and Anomaly Detection. 5803-5814 - Jie Song, Zhichao Lian, Liang Xiao:
Deep Open-Curve Snake for Discriminative 3D Neuron Tracking. 5815-5826 - Yan Tian, Guotang Jian, Jialei Wang, Hong Chen, Lei Pan, Zhaocheng Xu, Jianyuan Li, Ruili Wang:
A Revised Approach to Orthodontic Treatment Monitoring From Oralscan Video. 5827-5836 - Yuhang Zhao, Xianhao Shao, Cai Chen, Junlin Song, Chongxuan Tian, Wei Li:
The Contrastive Network With Convolution and Self-Attention Mechanisms for Unsupervised Cell Segmentation. 5837-5847 - Wentao Liu, Zhiwei Ni, Qian Chen, Liping Ni:
Attention-Guided Partial Domain Adaptation for Automated Pneumonia Diagnosis From Chest X-Ray Images. 5848-5859 - Yuanjie Gu, Yinghan Guan, Zekuan Yu, Biqin Dong:
SegCoFusion: An Integrative Multimodal Volumetric Segmentation Cooperating With Fusion Pipeline to Enhance Lesion Awareness. 5860-5871 - Tzu-Ti Wei, Chin Kuo, Yu-Chee Tseng, Jen-Jee Chen:
MPVF: 4D Medical Image Inpainting by Multi-Pyramid Voxel Flows. 5872-5882 - Yuan Yang, Wei Yu, Haiyan Du, Li Ling, Qianjin Feng, Shengxian Tu, Wei Yang:
Coupled Contour Regression for Efficient Delineation of Lumen and External Elastic Lamina in Intravascular Ultrasound Images. 5883-5894 - Zeki Kus, Berna Kiraz:
Evolutionary Architecture Optimization for Retinal Vessel Segmentation. 5895-5903 - Xianghui Ruan, Meng Dai, Zhuokun Chen, Zeng You, Yaowen Zhang, Yuanqing Li, Zulin Dou, Mingkui Tan:
Temporal Micro-Action Localization for Videofluoroscopic Swallowing Study. 5904-5913 - Huazhen Chen, Jianpeng An, Bochang Jiang, Lili Xia, Yunhao Bai, Zhongke Gao:
WS-MTST: Weakly Supervised Multi-Label Brain Tumor Segmentation With Transformers. 5914-5925 - Saisai Ding, Juncheng Li, Jun Wang, Shihui Ying, Jun Shi:
Multi-Scale Efficient Graph-Transformer for Whole Slide Image Classification. 5926-5936 - Yiran Li, Ze Wang:
Deeply Accelerated Arterial Spin Labeling Perfusion MRI for Measuring Cerebral Blood Flow and Arterial Transit Time. 5937-5945 - Ziyuan Yang, Yingyu Chen, Huijie Huangfu, Maosong Ran, Hui Wang, Xiaoxiao Li, Yi Zhang:
Dynamic Corrected Split Federated Learning With Homomorphic Encryption for U-Shaped Medical Image Networks. 5946-5957 - Qingfan Hou, Yanjun Peng, Zhuofei Wang, Jiao Wang, Jian Jiang:
MFD-Net: Modality Fusion Diffractive Network for Segmentation of Multimodal Brain Tumor Image. 5958-5969 - Fengjun Zhao, Zhiwei Wang, Hongyan Du, Xiaowei He, Xin Cao:
Self-Supervised Triplet Contrastive Learning for Classifying Endometrial Histopathological Images. 5970-5981 - Jingchao Wang, Guoheng Huang, Guo Zhong, Xiaochen Yuan, Chi-Man Pun, Jie Deng:
QGD-Net: A Lightweight Model Utilizing Pixels of Affinity in Feature Layer for Dermoscopic Lesion Segmentation. 5982-5993 - Kang Li, Suya Han, Lei Yang, Zizhao Sun, Zhan Yu, Hongwei Xu, Ling Ma, Jianbo Gao, Huiqin Jiang:
MSA-GCN: A Multi-information Selection Aggregation Graph Convolutional Network for Breast Tumor Grading. 5994-6005 - Meiyan Liang, Ru Wang, Jianan Liang, Lin Wang, Bo Li, Xiaojun Jia, Yu Zhang, Qinghui Chen, Tianyi Zhang, Cunlin Zhang:
Interpretable Inference and Classification of Tissue Types in Histological Colorectal Cancer Slides Based on Ensembles Adaptive Boosting Prototype Tree. 6006-6017 - Sicen Liu, Xiaolong Wang, Jingcheng Du, Yongshuai Hou, Xianbing Zhao, Hui Xu, Hui Wang, Yang Xiang, Buzhou Tang:
SHAPE: A Sample-Adaptive Hierarchical Prediction Network for Medication Recommendation. 6018-6028 - Luming Chen, Yifan Qi, Aiping Wu, Lizong Deng, Taijiao Jiang:
TeaBERT: An Efficient Knowledge Infused Cross-Lingual Language Model for Mapping Chinese Medical Entities to the Unified Medical Language System. 6029-6038 - Yu-Hsuan Chang, Yi-Ting Guo, Li-Chen Fu, Ming-Jang Chiu, Han-Mo Chiu, Hung-Ju Lin:
Interactive Healthcare Robot Using Attention-Based Question-Answer Retrieval and Medical Entity Extraction Models. 6039-6050 - Shriram Tallam Puranam Raghu, Dawn MacIsaac, Erik J. Scheme:
Decision-Change Informed Rejection Improves Robustness in Pattern Recognition-Based Myoelectric Control. 6051-6061 - Huan-Yu Chen, Hui-Min Wang, Ching-Heng Lin, Rob Yang, Chi-Chun Lee:
Lung Cancer Prediction Using Electronic Claims Records: A Transformer-Based Approach. 6062-6073 - Jianing Qiu, Lin Li, Jiankai Sun, Jiachuan Peng, Peilun Shi, Ruiyang Zhang, Yinzhao Dong, Kyle Lam, Frank P.-W. Lo, Bo Xiao, Wu Yuan, Ningli Wang, Dong Xu, Benny P. L. Lo:
Large AI Models in Health Informatics: Applications, Challenges, and the Future. 6074-6087 - Shanfu Lu, Xiang Xiao, Ziye Yan, Tingting Cheng, Xufang Tan, Rongchang Zhao, Haijun Wu, Liangfang Shen, Zijian Zhang:
Prognosis Forecast of Re-Irradiation for Recurrent Nasopharyngeal Carcinoma Based on Deep Learning Multi-Modal Information Fusion. 6088-6099 - Ching Nam Hang, Pei-Duo Yu, Siya Chen, Chee-Wei Tan, Guanrong Chen:
MEGA: Machine Learning-Enhanced Graph Analytics for Infodemic Risk Management. 6100-6111 - Kaili Wang, Min Li:
Fusion-Based Deep Learning Architecture for Detecting Drug-Target Binding Affinity Using Target and Drug Sequence and Structure. 6112-6120 - Youlin Zhan, Jiahan Liu, Le Ou-Yang:
scMIC: A Deep Multi-Level Information Fusion Framework for Clustering Single-Cell Multi-Omics Data. 6121-6132 - Sheng-Wen Tian, Jiancheng Ni, Yu-Tian Wang, Chun-Hou Zheng, Cunmei Ji:
scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis. 6133-6143
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