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ORCID18th ISBI 2021: Nice, France
- 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021. IEEE 2021, ISBN 978-1-6654-1246-9
- Carlos Sosa Marrero, Pierre Fontaine, Eugenia Mylona
, Khémara Gnep, Alfredo I. Hernández, François Paris, Renaud de Crevoisier, Oscar Acosta:
Mechanistic Simulation of Tumor Response Outperforms Radiomics Predicting Recurrence in Prostate Cancer Radiotherapy. 1-4 - Octavio E. Martinez Manzanera, Sam Ellis, Vasileios Baltatzis, Arjun Nair, Loïc Le Folgoc, Sujal Desai, Ben Glocker, Julia A. Schnabel:
Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data. 5-9 - Xiaofeng Liu, Fangxu Xing, Georges El Fakhri, Jonghye Woo:
A Unified Conditional Disentanglement Framework For Multimodal Brain Mr Image Translation. 10-14 - Dennis Bähr, Dennis Eschweiler, Anuk Bhattacharyya, Daniel Moreno-Andrés, Wolfram Antonin, Johannes Stegmaier:
Cellcyclegan: Spatiotemporal Microscopy Image Synthesis Of Cell Populations Using Statistical Shape Models And Conditional Gans. 15-19 - Martin Jammes-Floreani, Andrew F. Laine, Elsa D. Angelini:
Enhanced-Quality Gan (EQ-GAN) on Lung CT Scans: Toward Truth and Potential Hallucinations. 20-23 - Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Geometric Loss For Deep Multiple Sclerosis Lesion Segmentation. 24-28 - Zoé Lambert, Carole Le Guyader, Caroline Petitjean:
A Geometrically-Constrained Deep Network For Ct Image Segmentation. 29-33 - Muneyuki Sato, Ze Jin, Kenji Suzuki:
Semantic Segmentation of Liver Tumor in Contrast-enhanced Hepatic CT by Using Deep Learning with Hessian-based Enhancer with Small Training Dataset Size. 34-37 - Cong Xie, Hualuo Liu, Shilei Cao, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation. 38-41 - Qianfei Zhao, Huan Wang, Guotai Wang:
LCOV-NET: A Lightweight Neural Network For COVID-19 Pneumonia Lesion Segmentation From 3D CT Images. 42-45 - Andrew Zhen, Minjeong Kim, Guorong Wu:
Disentangling The Spatio-Temporal Heterogeneity of Alzheimer's Disease Using A Deep Predictive Stratification Network. 46-49 - Vanya V. Valindria, Marco Palombo, Eleni Chiou, Saurabh Singh, Shonit Punwani, Eleftheria Panagiotaki:
Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict. 50-54 - Claudio Román, Narciso López-López, Josselin Houenou, Cyril Poupon, Jean-François Mangin, Cecilia Hernández, Pamela Guevara:
Study Of Precentral-Postcentral Connections On Hcp Data Using Probabilistic Tractography And Fiber Clustering. 55-59 - Viljami Sairanen, Mario Ocampo-Pineda, Cristina Granziera, Simona Schiavi, Alessandro Daducci:
Enhancing Reliability Of Structural Brain Connectivity With Outlier Adjusted Tractogram Filtering. 60-63 - Ivana Kojcic, Théodore Papadopoulo, Rachid Deriche, Samuel Deslauriers-Gauthier:
Incorporating Transmission Delays Supported By Diffusion Mri In Meg Source Reconstruction. 64-68 - Mehmet Ozan Unal, Metin Ertas, Isa Yildirim:
Self-Supervised Training For Low-Dose Ct Reconstruction. 69-72 - Nwigbo Kenule Tuador, Duong-Hung Pham, Jérôme Michetti, Adrian Basarab, Denis Kouamé:
A Novel Fast 3d Single Image Super-Resolution Algorithm. 73-76 - Elvira Zainulina, Alexey Chernyavskiy, Dmitry V. Dylov:
No-Reference Denoising Of Low-Dose Ct Projections. 77-81 - Afonso Nunes, Sujal R. Desai, Thomas Semple, Anand Shah, Elsa D. Angelini:
3d Pathological Signs Detection And Scoring On CPA CT Lung Scans. 82-85 - Antonio Tejero-de-Pablos, Hiroaki Yamane, Yusuke Kurose, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, Yasushi Koyama, Tatsuya Harada:
Beam Stack Search-Based Reconstruction Of Unhealthy Coronary Artery Wall Segmentations In CCTA-CPR Scans. 86-90 - Zohaib Salahuddin, Matthias Lenga, Hannes Nickisch:
Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans. 91-95 - Ang Nan Gu, Mohammad H. Jafari, Christina Luong, Teresa Tsang, Purang Abolmaesumi:
Echocardiogram View Conversion using Clinically Constrained Conditional GAN. 96-99 - Burhaneddin Yaman, Chetan Shenoy, Zilin Deng, Steen Moeller, Hossam El-Rewaidy, Reza Nezafat, Mehmet Akçakaya:
Self-Supervised Physics-Guided Deep Learning Reconstruction for High-Resolution 3D LGE CMR. 100-104 - Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Biventricular Surface Reconstruction From Cine Mri Contours Using Point Completion Networks. 105-109 - Fatemeh Taheri Dezaki, Tom Ginsberg, Christina Luong, Hooman Vaseli, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang:
Echo-Rhythm Net: Semi-Supervised Learning For Automatic Detection of Atrial Fibrillation in Echocardiography. 110-113 - Qing Zou, Abdul Haseeb Ahmed, Prashant Nagpal, Stanley Kruger, Mathews Jacob:
Deep Generative Storm Model for Dynamic Imaging. 114-117 - Min Zhao, Weizheng Yan, Rongtao Xu, Dongmei Zhi, Rongtao Jiang, Tianzi Jiang, Vince D. Calhoun, Jing Sui:
An Attention-Based Hybrid Deep Learning Framework Integrating Temporal Coherence And Dynamics For Discriminating Schizophrenia. 118-121 - Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble:
Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis. 122-125 - Qing Liu, Defu Yang, Jingwen Zhang, Ziming Wei, Guorong Wu, Minghan Chen:
Analyzing The Spatiotemporal Interaction And Propagation Of Atn Biomarkers In Alzheimer's Disease Using Longitudinal Neuroimaging Data. 126-129 - Yudan Ren, Zeyang Tao, Wei Zhang, Tianming Liu:
Modeling Hierarchical Spatial and Temporal Patterns of Naturalistic fMRI Volume via Volumetric Deep Belief Network with Neural Architecture Search. 130-134 - Anaïs Badoual, Misa Arizono, Audrey Denizot, Mathieu Ducros, Hugues Berry, U. Valentin Nägerl, Charles Kervrann:
Simulation of Astrocytic Calcium Dynamics in Lattice Light Sheet Microscopy Images. 135-139 - Amogh Subbakrishna Adishesha, Daniel J. Vanselow, Patrick J. La Rivière, Xiaolei Huang, Keith C. Cheng:
Zebrafish Histotomography Noise Removal In Projection And Reconstruction Domains. 140-144 - Shuo Han, Aaron Carass, Michael Schär, Peter A. Calabresi, Jerry L. Prince:
Slice Profile Estimation From 2D MRI Acquisition Using Generative Adversarial Networks. 145-149 - Xinkai Zhao, Chaowei Fang, Feng Gao, De-Jun Fan, Xutao Lin, Guanbin Li:
Deep Transformers For Fast Small Intestine Grounding In Capsule Endoscope Video. 150-154 - Dor Amran, Maayan Frid-Adar, Nimrod Sagie, Jannette Nassar, Asher Kabakovitch, Hayit Greenspan:
Automated Triage Of Covid-19 From Various Lung Abnormalities Using Chest Ct Features. 155-159 - Ling Huang, Su Ruan, Thierry Denoeux:
Belief Function-Based Semi-Supervised Learning For Brain Tumor Segmentation. 160-164 - Daniela Schacherer, Christian Ritter, Karl Rohr:
Multiple Hypothesis Tracking With Integrated Cell Division Detection. 165-168 - Chen Wang, Xianbo Deng, Li Yu, Zhuo Kuang, Hui Ma, Yineng Hua, Bo Liang:
Data Fusion Framework For The Prediction Of Early Hematoma Expansion Based On CNN. 169-173 - Shirin Shakeri, William Le, Cynthia Ménard, Samuel Kadoury:
Deformable Mri To Transrectal Ultrasound Registration For Prostate Interventions With Shape-Based Deep Variational Auto-Encoders. 174-178 - James McCouat, Irina Voiculescu, Siôn Glyn-Jones:
Automatically Diagnosing HIP Conditions from X-Rays using Landmark Detection. 179-182 - Shuting Xie, Linsheng Cheng, Huafeng Liu:
Lnista-Net: Learning Nonlocal Regularized Iterative Shrinkage-Thresholding Network For Noninvasive Cardiac Transmembrane Potential Imaging. 183-186 - Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka:
Leveraging 3d Information In Unsupervised Brain Mri Segmentation. 187-190 - Jiancheng Yang, Rui Shi, Bingbing Ni:
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis. 191-195 - Reem Haweel, Ahmed Shalaby, Ali Mahmoud, Mohammed Ghazal, Noha A. Seada, Said Ghoniemy, Gregory Barnes, Ayman El-Baz:
A Novel Dwt-Based Discriminant Features Extraction From Task-Based Fmri: An Asd Diagnosis Study Using Cnn. 196-199 - Narges Mohammadi, Marvin M. Doyley, Müjdat Çetin:
Finite Element Reconstruction of Stiffness Images in MR Elastography Using Statistical Physical Forward Modeling and Proximal Optimization Methods. 200-203 - Aleksandra Melnikova, Petr Matula:
Topology Preserving Segmentation Fusion For Cells With Complex Shapes. 204-207 - Erkun Yang, Lihong Wang, David C. Steffens, Guy G. Potter, Mingxia Liu:
Deep Factor Regression For Computer-Aided Analysis of Major Depressive Disorders With Structural MRI Data. 208-211 - Chongyang Cao, Jianghong Xiao, Bo Zhan, Xingchen Peng, Xi Wu, Jiliu Zhou, Yan Wang:
Adaptive Multi-Organ Loss Based Generative Adversarial Network For Automatic Dose Prediction In Radiotherapy. 212-215 - Nanyan Zhu, Chen Liu, Xinyang Feng, Dipika Sikka, Sabrina J. Gjerswold-Selleck, Scott A. Small, Jia Guo:
Deep Learning Identifies Neuroimaging Signatures Of Alzheimer's Disease Using Structural And Synthesized Functional Mri Data. 216-220 - Adrian Shajkofci, Michael Liebling:
Estimating Nonplanar Flow From 2D Motion-Blurred Widefield Microscopy Images Via Deep Learning. 221-224 - Kumar Abhishek, Ghassan Hamarneh:
Matthews Correlation Coefficient Loss For Deep Convolutional Networks: Application To Skin Lesion Segmentation. 225-229 - Huite Yi, Jun Shi, Bing Yan, Xudong Xue, Hong An, Hongyan Zhang:
Global Multi-Level Attention Network for the Segmentation of Clinical Target Volume In The Planning CT For Cervical Cancer. 230-233 - Mirco Grosser, Tobias Knopp:
Efficient Optimization Of Mri Sampling Patterns Using The Bayesian Fisher Information Matrix. 234-237 - Osama N. Hassan, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Andrew J. Lotery, Daniel Rueckert:
Deep Learning Prediction Of Age And Sex From Optical Coherence Tomography. 238-242 - Amir Akbarnejad, Nilanjan Ray, Gilbert Bigras:
Deep Fisher Vector Coding For Whole Slide Image Classification. 243-246 - Yan Han, Chongyan Chen, Ahmed H. Tewfik, Ying Ding, Yifan Peng:
Pneumonia Detection On Chest X-Ray Using Radiomic Features And Contrastive Learning. 247-251 - Roozbeh Shams, William Le, Adrien Weihs, Samuel Kadoury:
Intensity-Based Wasserstein Distance As A Loss Measure For Unsupervised Deformable Deep Registration. 252-256 - Haifan Gong, Guanqi Chen, Ranran Wang, Xiang Xie, Mingzhi Mao, Yizhou Yu, Fei Chen, Guanbin Li:
Multi-Task Learning For Thyroid Nodule Segmentation With Thyroid Region Prior. 257-261 - Qinji Yu, Kang Dang, Nima Tajbakhsh, Demetri Terzopoulos, Xiaowei Ding:
A Location-Sensitive Local Prototype Network For Few-Shot Medical Image Segmentation. 262-266 - Mohamed T. Ali, Yaser A. Elnakieb, Ahmed Shalaby, Ali H. Mahmoud, Andy Switala, Mohammed Ghazal, Adel Khelifi, Luay Fraiwan, Georgy Barnes, Ayman El-Baz:
Autism Classification Using SMRI: A Recursive Features Selection Based on Sampling from Multi-Level High Dimensional Spaces. 267-270 - Giovanna Orrú, Pierre Maurel, Julie Coloigner:
Structural And Functional Interplay In Anxiety Related Classification: A Graph Signal Processing Approach. 271-274 - Zhipeng Ding, Marc Niethammer:
Votenet++: Registration Refinement For Multi-Atlas Segmentation. 275-279 - Aparna Kanakatte, Karthik Seemakurthy, Jay Gubbi, J. Saha, Avik Ghose, Balamuralidhar Purushothaman:
Surgical Smoke Dehazing and Color Reconstruction. 280-284 - Yu Luo, Haoyang Chen, Jicong Zhang:
Enhanced Connectivity and Reduced Mind Wandering after Tactile Training in Young Adults. 285-289 - Shohei Ouchi, Satoshi Ito:
Multi-Channel Grouped CNN-Based Image Reconstruction For Reduced Sampled Complex MR Signal. 290-294 - Florin C. Walter, Sebastian Damrich, Fred A. Hamprecht:
Multistar: Instance Segmentation Of Overlapping Objects With Star-Convex Polygons. 295-298 - Mohammad Hossein Zangooei, Ryan Margolis, Kenneth Hoyt:
Computational Modeling of Cancer Growth Using Microvascular Input From in Vivo Microct Images. 299-302 - Chuchen Li, Huafeng Liu:
Generative Adversarial Semi-Supervised Network For Medical Image Segmentation. 303-306 - Elda Fischi Gomez, Jonathan Rafael-Patino, Marco Pizzolato, Gian Franco Piredda, Tom Hilbert, Tobias Kober, Erick Jorge Canales-Rodríguez, Jean-Philippe Thiran:
Multi-Compartment Diffusion Mri, T2 Relaxometry And Myelin Water Imaging As Neuroimaging Descriptors For Anomalous Tissue Detection. 307-311 - Eilidh MacNicol, Rastko Ciric, Eugene Kim, Davide Di Censo, Diana Cash, Russell A. Poldrack, Oscar Esteban:
Atlas-Based Brain Extraction Is Robust Across RAT MRI Studies. 312-315 - Haibo Yang, Guangyu Wu, Dinggang Shen, Shu Liao:
Automatic Prostate Cancer Detection On Multi-Parametric Mri With Hierarchical Weakly Supervised Learning. 316-319 - Diana Mandache, Emilie Benoit á la Guillaume, Marie-Christine Mathieu, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid:
Leveraging Global Diagnosis For Tumor Localization In Dynamic Cell Imaging Of Breast Cancer Tissue Towards Fast Biopsying. 320-323 - Anatasiia Kornilova, Mikhail Salnikov, Olga Novitskaya, Maria Begicheva, Egor Sevriugov, Kirill Shcherbakov, Valeriya Pronina, Dmitry V. Dylov:
Deep Learning Framework For Mobile Microscopy. 324-328 - Shawn Mathew, Saad Nadeem, Arie E. Kaufman:
Visualizing Missing Surfaces In Colonoscopy Videos Using Shared Latent Space Representations. 329-333 - Bing Jiang, Yuyao Zhang, Minye Wu, Ji Li, Jingyi Yu:
Consistent Wce Video Frame Interpolation Based On Endoscopy Image Motion Estimation. 334-338 - Tran Thien Dat Nguyen, Changbeom Shim, Wooil Kim:
Biological Cell Tracking And Lineage Inference Via Random Finite Sets. 339-343 - Angshuman Paul, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature. 344-348 - Vasiliki Stergiopoulou, José Henrique de Morais Goulart, Sébastien Schaub, Luca Calatroni, Laure Blanc-Féraud:
COL0RME: Covariance-Based l0 Super-Resolution Microscopy with Intensity Estimation. 349-352 - Veysi Yildiz, Stratis Ioannidis, Ilkay Yildiz, Peng Tian, John Peter Campbell, Susan Ostmo, Jayashree Kalpathy-Cramer, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy:
Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity. 353-357 - Zihan Wu, Rongbo Shen, Junzhou Huang, Liansheng Wang, Jianhua Yao:
Strongly Supervised Mitosis Detection In Breast Histopathology Images Using Weak Labels. 358-361 - Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz, Pierrick Bourgeat, Vincent Doré, Jurgen Fripp, Andrew P. Bradley, Clinton Fookes, Olivier Salvado:
Smocam: Smooth Conditional Attention Mask For 3d-Regression Models. 362-366 - Laura Estacio, Moritz Ehlke, Alexander Tack, Eveling Castro Gutierrez, Hans Lamecker, Rensso Mora, Stefan Zachow:
Unsupervised Detection Of Disturbances In 2d Radiographs. 367-370 - Alvaro Gomariz, Raphael Egli, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel:
Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers. 371-374 - Samuel Kubler, Suvadip Mukherjee, Jean-Christophe Olivo-Marin, Thibault Lagache:
A Robust and Versatile Framework to Compare Spike Detection Methods in Calcium Imaging of Neuronal Activity. 375-379 - Karine Haddadi, Serge Muller, Isabelle Bloch:
Validation Of A Bi-Energetic Spectrum Approximation In Bone Mineral Density Measurement With A Dxa Digital Twin. 380-384 - S. Shailja, Jiaxiang Jiang, B. S. Manjunath:
Semi Supervised Segmentation And Graph-Based Tracking Of 3d Nuclei In Time-Lapse Microscopy. 385-389 - Hansi Gunasinghe, James McKelvie, Abigail M. Y. Koay, Michael Mayo:
Comparison Of Pretrained Feature Extractors For Glaucoma Detection. 390-394 - Hilda Chourak, Anaïs Barateau, Eugenia Mylona, Capucine Cadin, Caroline Lafond, Peter B. Greer, Jason Dowling, Jean-Claude Nunes, Renaud de Crevoisier, Oscar Acosta:
Voxel-Wise Analysis for Spatial Characterisation of Pseudo-CT Errors in MRI-Only Radiotherapy Planning. 395-399 - Yu-Jen Chen, Cheng-Yen Tsai, Xiaowei Xu, Yiyu Shi, Tsung-Yi Ho, Meiping Huang, Haiyun Yuan, Jian Zhuang:
Ct Image Denoising With Encoder-Decoder Based Graph Convolutional Networks. 400-404 - Brahim Belaoucha, Théodore Papadopoulo:
Elasticnetisdr to Reconstruct Both Sparse Brain Activity and Effective Connectivity. 405-409 - Lufei Gao, Ruisong Zhou, Changfeng Dong, Cheng Feng, Zhen Li, Xiang Wan, Li Liu:
Multi-Modal Active Learning For Automatic Liver Fibrosis Diagnosis Based On Ultrasound Shear Wave Elastography. 410-414 - Gayathri Malamal, Mahesh Raveendranatha Panicker:
Towards Diffuse Beamforming For Specular Reflectors: A Pixel-Level Reflection Tuned Apodization Scheme For Ultrasound Imaging. 415-418 - Zhendong Liu, Xiaoqiong Huang, Xin Yang, Rui Gao, Rui Li, Yuanji Zhang, Yankai Huang, Guangquan Zhou, Yi Xiong, Alejandro F. Frangi, Dong Ni:
Generalize Ultrasound Image Segmentation Via Instant And Plug & Play Style Transfer. 419-423 - Golara Javadi, Samareh Samadi, Sharareh Bayat, Samira Sojoudi, Antonio Hurtado, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi:
Characterizing The Uncertainty Of Label Noise In Systematic Ultrasound-Guided Prostate Biopsy. 424-428 - Yuling Fan, Hongjian Wang, Hartmut Gemmeke, Torsten Hopp, Koen van Dongen, Jürgen Hesser:
Memory-Efficient Neural Network For Non-Linear Ultrasound Computed Tomography Reconstruction. 429-432 - Shu-Fu Shih, Sevgi Gokce Kafali, Tess Armstrong, Xiaodong Zhong, Kara L. Calkins, Holden H. Wu:
Deep Learning-Based Parameter Mapping With Uncertainty Estimation For Fat Quantification Using Accelerated Free-Breathing Radial MRI. 433-437 - Edward Chen, Howie Choset, John M. Galeotti:
Uncertainty-Based Adaptive Data Augmentation For Ultrasound Imaging Anatomical Variations. 438-442 - Alireza Mehrtash, Tina Kapur, Clare M. Tempany, Purang Abolmaesumi, William M. Wells III:
Prostate Cancer Diagnosis With Sparse Biopsy Data And In Presence Of Location Uncertainty. 443-447 - Jiawei Yang, Yuan Liang, Yao Zhang, Weinan Song, Kun Wang, Lei He:
Exploring Instance-Level Uncertainty for Medical Detection. 448-452 - Suraj Mishra, Danny Z. Chen, X. Sharon Hu:
Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation. 453-457 - Hengtao Guo, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Transducer Adaptive Ultrasound Volume Reconstruction. 511-515 - Heng Li, Haofeng Liu, Yan Hu, Risa Higashita, Yitian Zhao, Hong Qi, Jiang Liu:
Restoration Of Cataract Fundus Images Via Unsupervised Domain Adaptation. 516-520 - Pujin Cheng, Li Lin, Yijin Huang, Junyan Lyu, Xiaoying Tang:
Prior Guided Fundus Image Quality Enhancement Via Contrastive Learning. 521-525 - Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Surrounding Cell Suppression For Unsupervised Representation Learning In Hematological Cell Classification. 526-530 - Justin Law, Thomas G. Paulson, Carissa A. Sanchez, Patricia C. Galipeau, Marnix Jansen, Matthew D. Stachler, Carlo C. Maley, Yinyin Yuan:
Wisdom Of The Crowd For Early Detection In Barrett's Esophagus. 531-535 - Kevinminh Ta, Shawn S. Ahn, John C. Stendahl, Albert J. Sinusas, James S. Duncan:
Shape-Regularized Unsupervised Left Ventricular Motion Network With Segmentation Capability In 3d+ Time Echocardiography. 536-540 - Tsung-Han Lee, Li-Ting Huang, Paul Kuo, Chien-Kuo Wang, Jiun-In Guo:
Focal-Balanced Attention U-Net with Dynamic Thresholding by Spatial Regression for Segmentation of Aortic Dissection in CT Imagery. 541-544 - Marc-André Fiedler, Michal Rapczynski, Ayoub Al-Hamadi:
Facial Video-Based Respiratory Rate Recognition Interpolating Pulsatile PPG Rise And Fall Times. 545-549 - Ziyi Huang, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon, Yu Gan:
Co-Seg: An Image Segmentation Framework Against Label Corruption. 550-553 - Xiongfeng Zhu, Qianjin Feng:
MVC-NET: Multi-View Chest Radiograph Classification Network With Deep Fusion. 554-558 - Jacopo Tessadori, Muhammad Abubakar Yamin, Paola Valsasina, Massimo Filippi, Maria Assunta Rocca, Diego Sona:
Dynamic Functional Connectivity For The Classification Of Multiple Sclerosis Phenotype: A Hidden Markov Model Approach. 559-562 - Koby Bibas, Gili Weiss-Dicker, Dana Cohen, Noa Cahan, Hayit Greenspan:
Learning Rotation Invariant Features For Cryogenic Electron Microscopy Image Reconstruction. 563-566 - François Marelli, Michael Liebling:
Optics Versus Computation: Influence of Illumination and Reconstruction Model Accuracy in Focal-Plane-Scanning Optical Projection Tomography. 567-570 - Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Lixu Gu, Yu Qiao:
Collaborative Multi-View Convolutions With Gating For Accurate And Fast Volumetric Medical Image Segmentation. 571-574 - Hui Wang, Demin Yao, Jiayi Chen, Yanjing Liu, Wensheng Li, Yonghong Shi:
2d-3d Hierarchical Feature Fusion Network For Segmentation Of Bone Structure In Knee Mr Image. 575-578 - Madhu Mithra K. K, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam:
Reference-Based Texture Transfer For Single Image Super-Resolution Of Magnetic Resonance Images. 579-583 - Sakshi Singh, Simon Labouesse, Rafael Piestun:
Multiview Virtual Confocal Microscopy Through A Multimode Fiber. 584-587 - Diana Lucia Farfan Cabrera, Éloïse Grossiord, Nicolas Gogin, Dimitri Papathanassiou, Nicolas Passat:
Analysis Of Lymph Node Tumor Features In Pet/Ct For Segmentation. 588-592 - Hendrik Hachmann, Benjamin Krüger, Bodo Rosenhahn, Waldo Nogueira:
Localization Of Cochlear Implant Electrodes From Cone Beam Computed Tomography Using Particle Belief Propagation. 593-597 - Wankang Zeng, Wenkang Fan, Rong Chen, Zhuohui Zheng, Song Zheng, Jianhui Chen, Rong Liu, Qiang Zeng, Zengqin Liu, Yinran Chen, Xiongbiao Luo:
Accurate 3d Kidney Segmentation Using Unsupervised Domain Translation And Adversarial Networks. 598-602 - Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid:
Contrastive Representation Learning For Whole Brain Cytoarchitectonic Mapping In Histological Human Brain Sections. 603-606 - Li Xiao, Chunlong Luo:
DEEPACC: Automate Chromosome Classification Based On Metaphase Images Using Deep Learning Framework Fused With Priori Knowledge. 607-610 - Yingping Li, Emilie Chouzenoux, Benoit Charmettant, Baya Benatsou, Jean-Philippe Lamarque, Nathalie Lassau:
Lightweight U-Net For Lesion Segmentation In Ultrasound Images. 611-615 - Tetiana Klymenko, Seong Tae Kim, Kirsten Lauber, Christopher Kurz, Guillaume Landry, Nassir Navab, Shadi Albarqouni:
Butterfly-Net: Spatial-Temporal Architecture For Medical Image Segmentation. 616-620 - Gabriele Scrivanti, Luca Calatroni, Serena Morigi, Lindsay Nicholson, Alin Achim:
Non-Convex Super-Resolution Of Oct Images Via Sparse Representation. 621-624 - Shuyang Fan, Mehmet Enes Inam, Danilo A. Peña, Peng Roc Chen, Luca Giancardo:
X-Ray Based Automatic Detection Of Brain Coil Compaction Using Unsupervised Learning. 625-629 - Huitong Pan, Quan Zhou, Longin Jan Latecki:
SGUNET: Semantic Guided UNET For Thyroid Nodule Segmentation. 630-634 - Vlad Vasilescu, Ana Neacsu, Emilie Chouzenoux, Jean-Christophe Pesquet, Corneliu Burileanu:
A Deep Learning Approach For Improved Segmentation Of Lesions Related To Covid-19 Chest CT Scans. 635-639 - Ethan Cohen, Virginie Uhlmann:
Aura-Net: Robust Segmentation Of Phase-Contrast Microscopy Images with Few Annotations. 640-644 - Chunyu Dong, Qunfei Zhao, Kun Chen, Xiaolin Huang:
Asymmetric Attention Upsampling: Rethinking Upsampling For Biological Image Segmentation. 645-649 - Anthony Sicilia, Xingchen Zhao, Davneet S. Minhas, Erin O'Connor, Howard J. Aizenstein, William E. Klunk, Dana L. Tudorascu, Seong Jae Hwang:
Multi-Domain Learning By Meta-Learning: Taking Optimal Steps In Multi-Domain Loss Landscapes By Inner-Loop Learning. 650-654 - K. B. de Raad, Karin A. van Garderen, Marion Smits, Sebastian R. van der Voort, Fatih Incekara, Edwin H. G. Oei, Jukka Hirvasniemi, Stefan Klein, Martijn P. A. Starmans:
The Effect of Preprocessing on Convolutional Neural Networks for Medical Image Segmentation. 655-658 - Xing Li, Haichun Yang, Jiaxin He, Aadarsh Jha, Agnes B. Fogo, Lee E. Wheless, Shilin Zhao, Yuankai Huo:
Beds: Bagging Ensemble Deep Segmentation For Nucleus Segmentation With Testing Stage Stain Augmentation. 659-662 - Ishaan Bhat, Hugo J. Kuijf, Veronika Cheplygina, Josien P. W. Pluim:
Using Uncertainty Estimation To Reduce False Positives In Liver Lesion Detection. 663-667 - Cyril Meyer, Véronique Mallouh, Danièle Spehner, Étienne Baudrier, Patrick Schultz, Benoît Naegel:
Automatic Multi Class Organelle Segmentation For Cellular Fib-Sem Images. 668-672 - Pranab Samanta, Geetank Raipuria, Nitin Singhal:
Context Aggregation Network For Semantic Labeling In Histopathology Images. 673-676 - Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Switchable Deep Beamformer For Ultrasound Imaging Using Adain. 677-680 - Nahid Babazadeh Khameneh, Carlos Vázquez, Thierry Cresson, Frédéric Lavoie, Jacques A. de Guise:
Highly Accurate Automated Patient-Specific 3D Bone Pose and Scale Estimation Using Bi-Planar Pose-Invariant Patches in a CNN-Based 3D/2D Registration Framework. 681-684 - Lorenza Brusini, Federica Cruciani, Ilaria Boscolo Galazzo, Marco Pitteri, Silvia Francesca Storti, Massimiliano Calabrese, Marco Lorenzi, Gloria Menegaz:
Multivariate Data Analysis Suggests The Link Between Brain Microstructure And Cognitive Impairment In Multiple Sclerosis. 685-688 - Aritra Chowdhury, Alberto Santamaría-Pang, James R. Kubricht, Peter H. Tu:
Emergent Symbolic Language Based Deep Medical Image Classification. 689-692 - Ayaan Haque, Abdullah-Al-Zubaer Imran, Adam S. Wang, Demetri Terzopoulos:
Multimix: Sparingly-Supervised, Extreme Multitask Learning from Medical Images. 693-696 - Alex Ling Yu Hung, Wanwen Chen, John M. Galeotti:
Ultrasound Confidence Maps Of Intensity And Structure Based On Directed Acyclic Graphs And Artifact Models. 697-701 - Aurelie Akossi, Fusheng Wang, George Teodoro, Jun Kong:
Image Registration with Optimal Regularization Parameter Selection by Learned Auto Encoder Features. 702-705 - Xu Chen, Xiangde Luo, Guotai Wang, Yalin Zheng:
Deep Elastica For Image Segmentation. 706-710 - Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Vincent Doré, Jason Dowling, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
Going Deeper With Brain Morphometry Using Neural Networks. 711-715 - Mohammad Alsharid, Rasheed El-Bouri, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
A Course-Focused Dual Curriculum For Image Captioning. 716-720 - Michael Nercessian, Nazim Haouchine, Parikshit Juvekar, Sarah F. Frisken, Alexandra J. Golby:
Deep Cortical Vessel Segmentation Driven By Data Augmentation With Neural Image Analogy. 721-724 - Mauro Zucchelli, Samuel Deslauriers-Gauthier, Rachid Deriche:
Investigating The Effect Of Dmri Signal Representation On Fully-Connected Neural Networks Brain Tissue Microstructure Estimation. 725-728 - Emily Chan, Matt Kelly, Julia A. Schnabel:
Comparison of Classical Machine Learning & Deep Learning to Characterise Fibrosis & Inflammation Using Quantitative MRI. 729-732 - Haotian Yang, Lüder A. Kahrs:
Real-Time Coarse-to-Fine Depth Estimation on Stereo Endoscopic Images With Self-Supervised Learning. 733-737 - Qinghao Liang, Sahand Negahban, Joseph Chang, Harrison H. Zhou, Dustin Scheinost:
Connectome-Based Predictive Modelling With Missing Connectivity Data Using Robust Matrix Completion. 738-742 - Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau, Eric de Kerviler, Nicholas Ayache:
Combining Bayesian And Deep Learning Methods For The Delineation Of The Fan In Ultrasound Images. 743-747 - Patrick Cole, Ayis Pyrros, Oluwasanmi Koyejo:
Learning To Recover Sharp Detail From Simulated Low-Dose Ct Studies. 748-752 - Vincent Couteaux, Mathilde Trintignac, Olivier Nempont, Guillaume Pizaine, Anna Sesilia Vlachomitrou, Pierre-Jean Valette, Laurent Milot, Isabelle Bloch:
Cooperating Networks To Enforce A Similarity Constraint In Paired But Unregistered Multimodal Liver Segmentation. 753-756 - Qin Wang, Weibing Zhao, Xu Yan, Hui Che, Kunlin Ye, Yingfeng Lu, Zhen Li, Shuguang Cui:
Geometric Morphology Based Irrelevant Vessels Removal For Accurate Coronary Artery Segmentation. 757-760 - Sungduk Cho, Hyungjoon Jang, Jing Wei Tan, Won-Ki Jeong:
DeepScribble: Interactive Pathology Image Segmentation Using Deep Neural Networks with Scribbles. 761-765 - Fatmatülzehra Uslu, Marta Varela:
SA-Net: A Sequence Aware Network for the Segmentation of the Left Atrium in Cine MRI Datasets. 766-769 - Zixun Huang, Rui Zhao, Frank H. F. Leung, Kin-Man Lam, Sai-Ho Ling, Juan Lyu, Sunetra Banerjee, Timothy Tin-Yan Lee, De Yang, Yong-Ping Zheng:
DA-GAN: Learning Structured Noise Removal In Ultrasound Volume Projection Imaging For Enhanced Spine Segmentation. 770-774 - Jonathan G. Sanctorum, Jan Sijbers, Jan De Beenhouwer:
Dark Field Sensitivity In Single Mask Edge Illumination Lung Imaging. 775-778 - Yuqian Chen, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Wojciech Chrzanowski, Weidong Cai:
Celltrack R-CNN: A Novel End-To-End Deep Neural Network For Cell Segmentation And Tracking In Microscopy Images. 779-782 - Tianjian Lu, Thibault Marin, Yue Zhuo, Yi-Fan Chen, Chao Ma:
Nonuniform Fast Fourier Transform on Tpus. 783-787 - Carlos J. Soto, Peiyao A. Zhao, Kyle N. Klein, David M. Gilbert, Anuj Srivastava:
Statistical Comparisons Of Chromosomal Shape Populations. 788-791 - Dennis Eschweiler, Malte Rethwisch, Simon Koppers, Johannes Stegmaier:
Spherical Harmonics For Shape-Constrained 3d Cell Segmentation. 792-796 - Quentin Denoyelle, Thanh-An Pham, Pol del Aguila Pla, Daniel Sage, Michael Unser:
Optimal-Transport-Based Metric For SMLM. 797-801 - John P. Bryan, Brian Cleary, Samouil L. Farhi, Yonina C. Eldar:
Sparse Recovery Of Imaging Transcriptomics Data. 802-806 - Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi:
Channel Scaling: A Scale-And-Select Approach For Transfer Learning. 807-811 - Suemin Lee, Ivan V. Bajic:
Information Flow Through U-Nets. 812-816 - Kaustav Brahma, Viksit Kumar, Anthony E. Samir, Anantha P. Chandrakasan, Yonina C. Eldar:
Efficient Binary Cnn For Medical Image Segmentation. 817-821 - Rutu Gandhi, Yi Hong:
MDA-Net: Multi-Dimensional Attention-Based Neural Network for 3D Image Segmentation. 822-826 - Meng Xu, Kuan Huang, Qiuxiao Chen, Xiaojun Qi:
Mssa-Net: Multi-Scale Self-Attention Network For Breast Ultrasound Image Segmentation. 827-831 - Amine Rebei, Agusti Alentorn, Hamza Chegraoui, Vincent Frouin, Cathy Philippe:
Contribution Of Imaging-Genetics To Overall Survival Prediction Compared To Clinical Status For Pcnsl Patients. 832-835 - Alyssa H. Zhu, Paul M. Thompson, Neda Jahanshad:
Age-Related Heterochronicity Of Brain Morphometry May Bias Voxelwise Findings. 836-839 - Umang Gupta, Pradeep K. Lam, Greg Ver Steeg, Paul M. Thompson:
Improved Brain Age Estimation With Slice-Based Set Networks. 840-844 - Yuji Zhao, Anvar Kurmukov, Boris A. Gutman:
Spatially Adaptive Morphometric Knowledge Transfer Across Neurodegenerative Diseases. 845-849 - Tianqi Song, Clémentine Bodin, Olivier Coulon:
Automatic Detection of Plis De Passage in the Superior Temporal Sulcus using Surface Profiling and Ensemble SVM. 850-853 - Thanh-An Pham, Emmanuel Soubies, Ferréol Soulez, Michael Unser:
Diffraction Tomography From Single-Molecule Localization Microscopy: Numerical Feasibility. 854-857 - Youbo Fan, Sylvain Faisan, Étienne Baudrier, Fabian Zwettler, Markus Sauer, Denis Fortun:
Stacked Pointnets For Alignment Of Particles With Cylindrical Symmetry In Single Molecule Localization Microscopy. 858-862 - Liqun Zhong, Guole Liu, Ge Yang:
Blind Denoising of Fluorescence Microscopy Images Using GAN-Based Global Noise Modeling. 863-867 - Olivia Mariani, François Marelli, Christian Jaques, Alexander Ernst, Michael Liebling:
Unequivocal Cardiac Phase Sorting From Alternating Ramp-And Pulse-Illuminated Microscopy Image Sequences. 868-872 - Christian Ritter, Roman Spilger, Ji Young Lee, Ralf Bartenschlager, Karl Rohr:
Deep Learning For Particle Detection And Tracking In Fluorescence Microscopy Images. 873-876 - Haoxin Zheng, Qi Miao, Steven S. Raman, Fabien Scalzo, Kyung Hyun Sung:
Integrative Radiomics Models To Predict Biopsy Results For Negative Prostate MRI. 877-881 - Divek Patel, Connor Cowan, Prateek Prasanna:
Predicting Mutation Status and Recurrence Free Survival in Non-Small Cell Lung Cancer: A Hierarchical ct Radiomics - Deep Learning Approach. 882-885 - Benito Farina, na Delia Ramos Guerra, Carmelo Palacios Miras, Guillermo Gallardo Madueño, Arrate Muñoz-Barrutia, German R. Peces-Barba, Luis Miguel Seijo Maceiras, Jesús Corral, Ignacio Gil-Bazo, Manuel Dómine Gómez, María J. Ledesma-Carbayo:
Delta-Radiomics Signature For Prediction Of Survival In Advanced Nsclc Patients Treated With Immunotherapy. 886-890 - Carmelo Pino, Simone Palazzo, Francesca Trenta, Francesca Cordero, Ulas Bagci, Francesco Rundo, Sebastiano Battiato, Daniela Giordano, Marco Aldinucci, Concetto Spampinato:
Interpretable Deep Model For Predicting Gene-Addicted Non-Small-Cell Lung Cancer In Ct Scans. 891-894 - Liwen Zhang, Di Dong, Zaiyi Liu, Junlin Zhou, Jie Tian:
Joint Multi-Task Learning for Survival Prediction of Gastric Cancer Patients using CT Images. 895-898 - Malte Hoffmann, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca:
Learning Mri Contrast-Agnostic Registration. 899-903 - Abdullah Nazib, Clinton Fookes, Olivier Salvado, Dimitri Perrin:
A Multiple Decoder Cnn For Inverse Consistent 3d Image Registration. 904-907 - Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan:
A New Unsupervised Learning Method for 3D Deformable Medical Image Registration. 908-912 - Liutong Zhang, Lei Zhou, Ruiyang Li, Xianyu Wang, Boxuan Han, Hongen Liao:
Cascaded Feature Warping Network For Unsupervised Medical Image Registration. 913-916 - Yudi Sang, Minsong Cao, Michael F. McNitt-Gray, Yu Gao, Peng Hu, Ran Yan, Yingli Yang, Dan Ruan:
Enhancing 4d Cardiac Mri Registration Network With A Motion Prior Learned From Coronary Cta. 917-920 - Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng:
Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation. 921-924 - Kaiping Wang, Bo Zhan, Yanmei Luo, Jiliu Zhou, Xi Wu, Yan Wang:
Multi-Task Curriculum Learning For Semi-Supervised Medical Image Segmentation. 925-928 - Rituparna Sarkar, Daniel Darby, Héloise Foucambert, Sigolene M. Meilhac, Jean-Christophe Olivo-Marin:
Nu3D: 3D Nuclei Segmentation from Light-Sheet Microscopy Images of the Embryonic Heart. 929-933 - Heng Wang, Yang Song, Chaoyi Zhang, Jianhui Yu, Siqi Liu, Hanchuan Peng, Tom Weidong Cai:
Single Neuron Segmentation Using Graph-Based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images. 934-938 - Wanwen Chen, Kathan Nilesh Mehta, Bhumi Dinesh Bhanushali, John M. Galeotti:
Ultrasound-Based Tracking Of Partially In-Plane, Curved Needles. 939-943 - Sammit Jain, Suvadip Mukherjee, Lydia Danglot, Jean-Christophe Olivo-Marin:
Morphological Reconstruction of Detached Dendritic Spines via Geodesic Path Prediction. 944-947 - Adrien Heitz, Julien Weinzorn, Vincent Noblet, Benoît Naegel, Arnaud Charnoz, Fabrice Heitz, Luc Soler:
Lubrav: A New Framework For The Segmentation Of The Lung's Tubular Structures. 948-952 - Jing Ke, Yiqing Shen, Yizhou Lu:
Style Normalization In Histology With Federated Learning. 953-956 - Mariam M. Fouad, Georg Schmitz, Michael Hübner, Mohamed A. Abd El Ghany:
Deep Learning in Signal Linearization for Harmonic Imaging Application. 957-960 - Alain Chen, Liming Wu, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Three Dimensional Synthetic Non-Ellipsoidal Nuclei Volume Generation Using Bézier Curves. 961-965 - Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr:
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias. 966-970 - Yuhui Du, Ju Niu, Vince D. Calhoun:
A New Hypergraph Clustering Method For Exploring Transdiagnostic Biotypes In Mental Illnesses: Application To Schizophrenia And Psychotic Bipolar Disorder. 971-974 - Wenjun Xia, Zexin Lu, Yongqiang Huang, Yan Liu, Jiliu Zhou, Yi Zhang:
Ct Reconstruction With Pdf: Parameter-Dependent Framework For Multiple Scanning Geometries And Dose Levels. 975-979 - Alice M. L. Santilli, Amoon Jamzad, Alireza Sedghi, Martin Kaufmann, Shaila Merchant, Cecil Jay Engel, Kathryn Logan, Julie Wallis, Natasja N. Y. Janssen, Sonal Varma, Gabor Fichtinger, John F. Rudan, Parvin Mousavi:
Self-Supervised Learning For Detection Of Breast Cancer In Surgical Margins With Limited Data. 980-984 - Lawrence Schobs, Shuo Zhou, Marcella Cogliano, Andrew J. Swift, Haiping Lu:
Confidence-Quantifying Landmark Localisation For Cardiac MRI. 985-988 - Hamideh Kerdegari, Phung Tran Huy Nhat, Angela McBride, Reza Razavi, Nguyen Van Hao, Louise Thwaites, Sophie Yacoub, Alberto Gómez:
Automatic Detection of B-lines in Lung Ultrasound Videos from Severe Dengue Patients. 989-993 - Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun:
A Multimodal Learning Framework to Study Varying Information Complexity in Structural and Functional Sub-Domains in Schizophrenia. 994-998 - Arnaud Boutillon, Bhushan Borotikar, Christelle Pons, Valérie Burdin, Pierre-Henri Conze:
Multi-Structure Deep Segmentation With Shape Priors And Latent Adversarial Regularization. 999-1002 - Sumit Kaushik, Jan Kybic, Avinash Bansal, Temesgen Bihonegn, Jan Slovak:
Potential Biomarkers From Positive Definite 4th Order Tensors In Hardi. 1003-1006 - Tung Tran, Joshua V. Stough, Xiaoyan Zhang, Christopher M. Haggerty:
Bayesian Optimization of 2D Echocardiography Segmentation. 1007-1011 - Felix Gonda, Donglai Wei, Hanspeter Pfister:
Consistent Recurrent Neural Networks For 3d Neuron Segmentation. 1012-1016 - Constantin Seibold, Matthias A. Fink, Charlotte Goos, Hans-Ulrich Kauczor, Heinz-Peter Schlemmer, Rainer Stiefelhagen, Jens Kleesiek:
Prediction of Low-Kev Monochromatic Images From Polyenergetic CT Scans For Improved Automatic Detection of Pulmonary Embolism. 1017-1020 - Noushin Jafarpisheh, Iván M. Rosado-Méndez, Timothy J. Hall, Hassan Rivaz:
Analytical Globally-Regularized Estimation Of Effective Scatterer Diameter And Acoustic Concentration in Quantitative Ultrasound. 1021-1024 - Shaobin Chen, Rugang Zhang, Guozhen Chen, Jinfeng Zhao, Tianfu Wang, Guoming Zhang, Baiying Lei:
Attention-guided Deep Multi-instance Learning for Staging Retinopathy of Prematurity. 1025-1028 - Ran Li, Qi Gao, Karl Rohr:
Multi-Object Dynamic Memory Network For Cell Tracking in Time-Lapse Microscopy Images. 1029-1032 - Yash Khare, Viraj Bagal, Minesh Mathew, Adithi Devi, U. Deva Priyakumar, C. V. Jawahar:
MMBERT: Multimodal BERT Pretraining for Improved Medical VQA. 1033-1036 - Min Ling, Guofeng Lv, Jue Wang, Xiaoyu Hao, Jun Shi, Hong An:
Fast Whole Slide Image Analysis Of Cervical Cancer Using Weak Annotation. 1037-1041 - Chaitanya Kaul, Nick E. Pears, Hang Dai, Roderick Murray-Smith, Suresh Manandhar:
Focusnet++: Attentive Aggregated Transformations For Efficient And Accurate Medical Image Segmentation. 1042-1046 - Xingchen Zhao, Anthony Sicilia, Davneet S. Minhas, Erin O'Connor, Howard J. Aizenstein, William E. Klunk, Dana L. Tudorascu, Seong Jae Hwang:
Robust White Matter Hyperintensity Segmentation On Unseen Domain. 1047-1051 - Axel-Jan Rousseau, Thijs Becker, Jeroen Bertels, Matthew B. Blaschko, Dirk Valkenborg:
Post Training Uncertainty Calibration Of Deep Networks For Medical Image Segmentation. 1052-1056 - Angela P. Cuadros, Carlos M. Restrepo, Peter Noël:
Low-Dose Dual KVP Switching Using A Static Coded Aperture. 1057-1061 - Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika:
A More Interpretable Classifier For Multiple Sclerosis. 1062-1066 - Ahmad Chaddad, Mingli Zhang, Lama Hassan, Tamim Niazi:
Modeling of Textures to Predict Immune Cell Status and Survival of Brain Tumour Patients. 1067-1071 - Qianye Yang, Tom Vercauteren, Yunguan Fu, Francesco Giganti, Nooshin Ghavami, Vasilis Stavrinides, Caroline M. Moore, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu:
Morphological Change Forecasting For Prostate Glands Using Feature-Based Registration And Kernel Density Extrapolation. 1072-1076 - Arunava Chakravarty, Avik Kar, Ramanathan Sethuraman, Debdoot Sheet:
Federated Learning for Site Aware Chest Radiograph Screening. 1077-1081 - Soham Mandal, Virginie Uhlmann:
Splinedist: Automated Cell Segmentation With Spline Curves. 1082-1086 - Harshit Agrawal, Ari Hietanen, Simo Särkkä:
Metal Artifact Reduction In Cone-Beam Extremity Images Using Gated Convolutions. 1087-1090 - Herman Verinaz-Jadan, Pingfan Song, Carmel L. Howe, Peter Quicke, Amanda J. Foust, Pier Luigi Dragotti:
Deep Learning For Light Field Microscopy Using Physics-Based Models. 1091-1094 - Aniket Pramanik, Mathews Jacob:
Reconstruction and Segmentation of Parallel MR Data Using Image Domain Deep-SLR. 1095-1098 - Abdul Haseeb Ahmed, Prashant Nagpal, Stanley Kruger, Mathews Jacob:
Dynamic Imaging Using Deep Bilinear Unsupervised Learning (Deblur). 1099-1102 - Ranjeet Ranjan Jha, Hritik Gupta, Sudhir K. Pathak, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam:
Enhancing HARDI Reconstruction from Undersampled Data Via Multi-Context and Feature Inter-Dependency GAN. 1103-1106 - (Withdrawn) Coronary Artery Lumen Segmentation in CCTA Using 3D CNN with Partial Annotations. 1107-1111
- Ekansh Verma, Vijendra Singh, Mohammed Safwan:
Mitosis Detection In Phase Contrast Microscopy Image Sequences Using Spatial Segmentation And Spatio-Temporal Localization Refinement. 1112-1116 - Kosmia Loizidou, Galateia Skouroumouni, Christos Nikolaou, Costas Pitris:
Breast Mass Detection And Classification Algorithm Based On Temporal Subtraction Of Sequential Mammograms. 1117-1121 - Bin Duan, Logan A. Walker, Douglas H. Roossien, Fred Y. Shen, Dawen Cai, Yan Yan:
Unsupervised Neural Tracing In Densely Labeled Multispectral Brainbow Images. 1122-1126 - Bao Nguyen, Adam Feldman, Sarath Bethapudi, Andrew Jennings, Chris G. Willcocks:
Unsupervised Region-Based Anomaly Detection In Brain MRI With Adversarial Image Inpainting. 1127-1131 - Ilyas Sirazitdinov, Matthias Lenga, Ivo M. Baltruschat, Dmitry V. Dylov, Axel Saalbach:
Landmark Constellation Models For Central Venous Catheter Malposition Detection. 1132-1136 - Johanna Sprenger, Thore Saathoff, Alexander Schlaefer:
Automated Robotic Surface Scanning With Optical Coherence Tomography. 1137-1140 - Lianyu Wang, Zhongyue Chen, Meng Wang, Tingting Wang, Weifang Zhu, Xinjian Chen:
Cycle Adaptive Multi-Target Weighting Network For Automated Diabetic Retinopathy Segmentation. 1141-1144 - Eleonora Ficiarà, Valentino Crespi, Shruti Prashant Gadewar, Sophia I. Thomopoulos, Joshua Boyd, Paul M. Thompson, Neda Jahanshad, Fabrizio Pizzagalli:
Predicting Progression from Mild Cognitive Impairment to Alzheimer's Disease using MRI-based Cortical Features and a Two-State Markov Model. 1145-1149 - Anastasia Solomatina, Yannis Kalaidzidis, Alice Cezanne, Karen Soans, Caren Norden, Marino Zerial, Ivo F. Sbalzarini:
Particle-Based Segmentation Of Extended Objects On Curved Biological Membranes. 1150-1154 - Yongsheng Pan, Yong Xia:
Ultimate Reconstruction: Understand Your Bones From Orthogonal Views. 1155-1158 - Alexandre Bône, Samy Ammari, Jean-Philippe Lamarque, Mickael Elhaik, Emilie Chouzenoux, François Nicolas, Philippe Robert, Corinne Balleyguier, Nathalie Lassau, Marc-Michel Rohé:
Contrast-Enhanced Brain MRI Synthesis With Deep Learning: Key Input Modalities and Asymptotic Performance. 1159-1163 - Heng Fang, Xi Yang, Taichi Kin, Takeo Igarashi:
Brain Surface Reconstruction from MRI Images based on Segmentation Networks Applying Signed Distance Maps. 1164-1168 - Hongzhi Wang, Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood:
Modeling Uncertainty in Multi-Modal Fusion for Lung Cancer Survival Analysis. 1169-1172 - Junchi Liu, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King:
Improving Diagnostic Accuracy Of Reduced-Dose Studies With Full-Dose Noise-To-Noise Learning In Cardiac Spect. 1173-1176 - SeokHwan Oh, Myeong-Gee Kim, YoungMin Kim, Hyeon-Min Bae:
A Learned Representation For Multi-Variable Ultrasonic Lesion Quantification. 1177-1181 - Michael Gadermayr, Maximilian Ernst Tschuchnig, Laxmi Gupta, Nils Krämer, Daniel Truhn, Dorit Merhof, Burkhard Gess:
An Asymmetric Cycle-Consistency Loss For Dealing With Many-To-One Mappings In Image Translation: A Study On Thigh Mr Scans. 1182-1186 - Ruchi Chauhan, P. K. Vinod, C. V. Jawahar:
Exploring Genetic-histologic Relationships in Breast Cancer. 1187-1190 - Dimitris Stripelis, José Luis Ambite, Pradeep Lam, Paul M. Thompson:
Scaling Neuroscience Research Using Federated Learning. 1191-1195 - Maria Inês Meyer, Ezequiel de la Rosa, Nuno Pedrosa de Barros, Roberto Paolella, Koen Van Leemput, Diana Maria Sima:
An Augmentation Strategy to Mimic Multi-Scanner Variability in MRI. 1196-1200 - Samira Masoudi, Stephanie A. Harmon, Sherif Mehralivand, Nathan Lay, Ulas Bagci, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey:
No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients. 1201-1205 - Jeremy Beaumont, Oscar Acosta, Parnesh Raniga, Giulio Gambarota, Jurgen Fripp:
Towards a generalization of the MP2RAGE partial volume estimation model to account for B1+ inhomogeneities at 7T. 1206-1209 - Maodong Xiang, Ze Jin, Kenji Suzuki:
Massive-Training Artificial Neural Network (Mtann) With Special Kernel For Artifact Reduction In Fast-Acquisition Mri Of The Knee. 1210-1213 - Peng Li, Yue Hu:
Mr Fingerprinting Reconstruction Using Structured Low-Rank Matrix Recovery And Subspace Modeling. 1214-1217 - Andrew Grebenisan, Alireza Sedghi, Jason Izard, Robert Siemens, Alexandre Menard, Parvin Mousavi:
Spatial Decomposition For Robust Domain Adaptation In Prostate Cancer Detection. 1218-1222 - Davis Gilton, Greg Ongie, Rebecca Willett:
Model Adaptation In Biomedical Image Reconstruction. 1223-1226 - Jingyang Zhang, Ran Gu, Guotai Wang, Hongzhi Xie, Lixu Gu:
SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation. 1227-1231 - Karen Sanchez, Carlos Hinojosa, Henry Arguello, Simon Freiss, Nicolas Sans, Denis Kouamé, Olivier Meyrignac, Adrian Basarab:
Subspace-based Domain Adaptation Using Similarity Constraints for Pneumonia Diagnosis within a Small Chest X-ray Image Dataset. 1232-1235 - Duc Duy Pham, S. M. Koesnadi, Gurbandurdy Dovletov, Josef Pauli:
Unsupervised Adversarial Domain Adaptation for Multi-Label Classification of Chest X-Ray. 1236-1240 - Jacob Carse, Frank A. Carey, Stephen J. McKenna:
Unsupervised Representation Learning From Pathology Images With Multi-Directional Contrastive Predictive Coding. 1254-1258 - Leyin Li, Zhaoyu Hu, Yunqian Huang, Wenqian Zhu, Yuanyuan Wang, Man Chen, Jinhua Yu:
SIAMATSN: Real-Time Carotid Plaque Tracking and Segmentation of Ultrasonic Videos. 1259-1263 - Mohammad H. Jafari, Nathan Van Woudenberg, Christina Luong, Purang Abolmaesumi, Teresa Tsang:
Deep Bayesian Image Segmentation For A More Robust Ejection Fraction Estimation. 1264-1268 - Maohao Shen, Jacky Y. Zhang, Leihao Chen, Weiman Yan, Neel Jani, Brad Sutton, Oluwasanmi Koyejo:
Labeling Cost Sensitive Batch Active Learning For Brain Tumor Segmentation. 1269-1273 - Rafael Rodrigues, Marta Gómez-García de la Banda, Mickael Tordjman, David Gómez-Andrés, Susana Quijano-Roy, Robert-Yves Carlier, António M. G. Pinheiro:
Texture Analysis Of T1-Weighted Turbo Spin-Echo Mri For The Diagnosis And Follow-Up Of Collagen Vi-Related Myopathy. 1274-1278 - Ruibin Ma, Sarah K. McGill, Rui Wang, Julian G. Rosenman, Jan-Michael Frahm, Yubo Zhang, Stephen M. Pizer:
Colon10k: A Benchmark For Place Recognition In Colonoscopy. 1279-1283 - Xing Tao, Chenglang Yuan, Cheng Bian, Yuexiang Li, Kai Ma, Dong Ni, Yefeng Zheng:
The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization. 1284-1287 - Shruti Gadewar, Alyssa H. Zhu, Sophia I. Thomopoulos, Zhuocheng Li, Iyad Ba Gari, Piyush Maiti, Paul M. Thompson, Neda Jahanshad:
Region Specific Automatic Quality Assurance For MRI-Derived Cortical Segmentations. 1288-1291 - Tianqing Li, Leihao Wei, William Hsu:
A Multi-Pronged Evaluation For Image Normalization Techniques. 1292-1296 - Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai:
3D Topology-Preserving Segmentation with Compound Multi-Slice Representation. 1297-1301 - Marek Wodzinski, Henning Müller:
Invnet: A Deep Learning Approach To Invert Complex Deformation Fields. 1302-1305 - Ahsan Baidar Bakht, Sajid Javed, Hasan Almarzouqi, Ahsan Khandoker, Naoufel Werghi:
Colorectal Cancer Tissue Classification Using Semi-Supervised Hypergraph Convolutional Network. 1306-1309 - Ben Huyge, Jonathan G. Sanctorum, Nathanaël Six, Jan De Beenhouwer, Jan Sijbers:
Analysis Of Flat Fields In Edge Illumination Phase Contrast Imaging. 1310-1313 - Li Lin, Pujin Cheng, Zhonghua Wang, Meng Li, Kai Wang, Xiaoying Tang:
Automated Segmentation Of Corneal Nerves In Confocal Microscopy Via Contrastive Learning Based Synthesis And Quality Enhancement. 1314-1318 - Changwei Wang, Rongtao Xu, Yuyang Zhang, Shibiao Xu, Xiaopeng Zhang:
Retinal Vessel Segmentation Via Context Guide Attention Net With Joint Hard Sample Mining Strategy. 1319-1323 - Timothy L. Kline:
Improving Domain Generalization in Segmentation Models with Neural Style Transfer. 1324-1328 - Jingnan Jia, Zhiwei Zhai, M. Els Bakker, Irene Hernández-Girón, Marius Staring, Berend C. Stoel:
Multi-Task Semi-Supervised Learning For Pulmonary Lobe Segmentation. 1329-1332 - Enrico Grisan, Sevan Harput, Bernd Raffeiner, Ugo Fiocco, Roberto Stramare:
Deep-Learning Estimation of Perfusion Kinetic Parameters in Contrast-Enhanced Ultrasound Imaging. 1333-1337 - Shiyu Wang, Nicha C. Dvornek:
A Metamodel Structure For Regression Analysis: Application To Prediction Of Autism Spectrum Disorder Severity. 1338-1341 - Bhaskara Rao Chintada, Richard Rau, Orcun Goksel:
Time Of Arrival Delineation In Echo Traces For Reflection Ultrasound Tomography. 1342-1345 - Weiwei Cui, Liaoyuan Zeng, Bunsan Chong, Qianni Zhang:
Toothpix: Pixel-Level Tooth Segmentation in Panoramic X-Ray Images based on Generative Adversarial Networks. 1346-1350 - Zhiyang Lu, Jun Li, Zheng Li, Hongjian He, Jun Shi:
Reconstruction Of Quantitative Susceptibility Maps From Phase Of Susceptibility Weighted Imaging With Cross-Connected Ψ-Net. 1351-1355 - Ignacio Sarasua, Jonwong Lee, Christian Wachinger:
Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease. 1356-1359 - Samuel Cros, Eugene Vorontsov, Samuel Kadoury:
Managing Class Imbalance in Multi-Organ CT Segmentation in Head and Neck Cancer Patients. 1360-1364 - Mahsa Amirrashedi, Saeed Sarkar, Hossein Ghadiri, Pardis Ghafarian, Habib Zaidi, Mohammad Reza Ay:
A Deep Neural Network To Recover Missing Data In Small Animal Pet Imaging: Comparison Between Sinogram- And Image-Domain Implementations. 1365-1368 - Cory Efird, Samuel Neumann, Kevin G. Solar, Christian Beaulieu, Dana Cobzas:
Hippocampus Segmentation On High Resolution Diffusion MRI. 1369-1372 - Lars A. Gjesteby, Tzofi Klinghoffer, Meagan Ash, Matthew A. Melton, Kevin J. Otto, Damon G. Lamb, Sara N. Burke, Laura J. Brattain:
Annotation-Efficient 3d U-Nets For Brain Plasticity Network Mapping. 1373-1377 - Mohamed Shehata, Ahmed Alksas, Rasha T. Abouelkheir, Ahmed Elmahdy, Ahmed Shaffie, Ahmed Soliman, Mohammed Ghazal, Hadil Abu Khalifeh, Ahmed Abdel Razek, Ayman El-Baz:
A New Computer-Aided Diagnostic (Cad) System For Precise Identification Of Renal Tumors. 1378-1381 - Hamza Chegraoui, Amine Rebei, Cathy Philippe, Vincent Frouin:
Prediction Performance of Radiomic Features When Obtained using an Object Detection Framework. 1382-1385 - Margherita Mottola, Alessandro Bevilacqua, F. Ferroni, Giampaolo Gavelli, Domenico Barone:
Prostate Cancer Staging Based On High B-Value Diffusion Weighted Magnetic Resonance Imaging. 1386-1389 - Antoine Bralet, Razmig Kéchichian, Sébastien Valette:
Local Surf-Based Keypoint Transfer Segmentation. 1390-1393 - Nicolas Guigui, Pamela Moceri, Maxime Sermesant, Xavier Pennec:
Cardiac Motion Modeling With Parallel Transport And Shape Splines. 1394-1397 - Oleg Kachan, Arsenii Onuchin:
Topological Data Analysis Of Eye Movements. 1398-1401 - Cheng Zhao, Bei Xia, Libao Guo, Jie Du, Weiling Chen, Tianfu Wang, Baiying Lei:
Multi-scale Wavelet Network Algorithm for Pediatric Echocardiographic Segmentation via Feature Fusion. 1402-1405 - Gautam Rajendrakumar Gare, Andrew Schoenling, Vipin Philip, Hai V. Tran, Bennett P. deBoisblanc, Ricardo Luis Rodriguez, John Michael Galeotti:
Dense Pixel-Labeling For Reverse-Transfer And Diagnostic Learning On Lung Ultrasound For Covid-19 And Pneumonia Detection. 1406-1410 - Blanca Zufiria, Maialen Stephens, Maria Jesús Sánchez, Jesús Ruiz-Cabello, Karen López-Linares, Iván Macía:
Fully Automatic Cardiac Segmentation And Quantification For Pulmonary Hypertension Analysis Using Mice Cine Mr Images. 1411-1415 - Hanyue Zhou, Jiayu Xiao, Zhaoyang Fan, Dan Ruan:
Intracranial Vessel Wall Segmentation For Atherosclerotic Plaque Quantification. 1416-1419 - Andoni I. Garmendia, Yongyi Yang, Chao Song, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King:
Data-Driven Approach For Respiratory Motion Correction In Cardiac Spect Data. 1420-1423 - Xiao Zhou, Zhen Cheng, Fei Chang:
N-cell Droplet Encapsulation Recognition via Weakly Supervised Counting Network. 1424-1428 - Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood, Minh N. Do:
Multimodal Fusion Using Sparse Cca For Breast Cancer Survival Prediction. 1429-1432 - Johanna Perens, Jacob Lercke Skytte, Casper Gravesen Salinas, Jacob Hecksher-Sørensen, Tim B. Dyrby, Anders Bjorholm Dahl:
Comparative Study Of Voxel-Based Statistical Analysis Methods For Fluorescently Labelled And Light Sheet Imaged Whole-Brain Samples. 1433-1437 - Yeman Brhane Hagos, Catherine S. Y. Lecat, Dominic Patel, Lydia Lee, Thien-An Tran, Manuel Rodriguez-Justo, Kwee Yong, Yinyin Yuan:
Cell Abundance Aware Deep Learning For Cell Detection On Highly Imbalanced Pathological Data. 1438-1442 - Zaccharie Ramzi, Jean-Luc Starck, Philippe Ciuciu:
Density Compensated Unrolled Networks For Non-Cartesian MRI Reconstruction. 1443-1447 - Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Aaron Carass, Maureen Stone, Georges El Fakhri, Jonghye Woo:
Dual-Cycle Constrained Bijective Vae-Gan For Tagged-To-Cine Magnetic Resonance Image Synthesis. 1448-1452 - Xiaoming Liu, Shaocheng Wang:
Uncertainty-Aware Semi-Supervised Framework for Automatic Segmentation of Macular Edema in Oct Images. 1453-1456 - Qi Gao, Vadim O. Chagin, M. Cristina Cardoso, Karl Rohr:
Non-Rigid Registration Of Live Cell Nuclei Using Global Optical Flow with Elasticity Constraints. 1457-1460 - Zishun Feng, Joseph A. Sivak, Ashok K. Krishnamurthy:
Two-Stream Attention Spatio-Temporal Network For Classification Of Echocardiography Videos. 1461-1465 - Chanmin Park, Kanggeun Lee, Suyeon Kim, Fatma Sema Canbakis Cecen, Seok-Kyu Kwon, Won-Ki Jeong:
Neuron Segmentation using Incomplete and Noisy Labels via Adaptive Learning with Structure Priors. 1466-1470 - Yan Li, Xiaoyi Chen, Li Quan, Ni Zhang:
Uncertainty-Guided Robust Training For Medical Image Segmentation. 1471-1475 - Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Post-Hoc Overall Survival Time Prediction From Brain MRI. 1476-1480 - Nicolas Ewen, Naimul Khan:
Targeted Self Supervision For Classification On A Small Covid-19 Ct Scan Dataset. 1481-1485 - Nathan Buskulic, François-Xavier Dupé, Sylvain Takerkart, Guillaume Auzias:
Labelling Sulcal Graphs Across Indiviuals Using Multigraph Matching. 1486-1490 - Ho Hin Lee, Yucheng Tang, Shunxing Bao, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior. 1491-1494 - Yaqiong Chai, Mengting Liu, Ben A. Duffy, Hosung Kim:
Learning to Synthesize Cortical Morphological Changes using Graph Conditional Variational Autoencoder. 1495-1499 - Hongwei Li, Rameshwara G. N. Prasad, Anjany Sekuboyina, Chen Niu, Siwei Bai, Werner Hemmert, Bjoern H. Menze:
Micro-Ct Synthesis and Inner Ear Super Resolution via Generative Adversarial Networks and Bayesian Inference. 1500-1504 - Wei Dai, Boyeong Woo, Siyu Liu, Matthew Marques, Fangfang Tang, Stuart Crozier, Craig Engstrom, Shekhar Chandra:
Can3d: Fast 3d Knee Mri Segmentation Via Compact Context Aggregation. 1505-1508 - Tran Minh Quan, Huynh Minh Thanh, Ta Duc Huy, Nguyen Do Trung Chanh, Nguyen Thi Phuong Anh, Phan Hoan Vu, Nguyen Hoang Nam, Tran Quy Tuong, Vu Minh Dien, Bui Van Giang, Bui Huu Trung, Steven Quoc Hung Truong:
XPGAN: X-Ray Projected Generative Adversarial Network For Improving Covid-19 Image Classification. 1509-1513 - Hao Guan, Li Wang, Mingxia Liu:
Multi-Source Domain Adaptation via Optimal Transport for Brain Dementia Identification. 1514-1517 - Tingting Wang, Weifang Zhu, Meng Wang, Zhongyue Chen, Xinjian Chen:
Cu-Segnet: Corneal Ulcer Segmentation Network. 1518-1521 - Jiadong Zhang, Hengrong Lan, Changchun Yang, Tengbo Lyu, Shangshan Guo, Feng Gao, Fei Gao:
Limited-View Photoacoustic Imaging Reconstruction With Dual Domain Inputs Based On Mutual Inforamtion. 1522-1526 - Suman Kumar Maji, Jérôme Boulanger:
A Variational Model For Poisson Gaussian Joint Denoising Deconvolution. 1527-1530 - Weijie Gan, Yu Sun, Cihat Eldeniz, Jiaming Liu, Hongyu An, Ulugbek S. Kamilov:
Deep Image Reconstruction Using Unregistered Measurements Without Groundtruth. 1531-1534 - Antonio Lorente Mur, Paul Bataille, Françoise Peyrin, Nicolas Ducros:
Deep Expectation-Maximization For Image Reconstruction From Under-Sampled Poisson Data. 1535-1539 - Tobias Knopp, Mirco Grosser, Matthias Graeser, Timo Gerkmann, Martin Möddel:
Dictionary-Based Background Signal Estimation For Magnetic Particle Imaging. 1540-1543 - Valentin Debarnot, Pierre Weiss:
Deepblur: Blind Identification Of Space Variant Psf. 1544-1547 - Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis, Vince D. Calhoun:
On Self-Supervised Multimodal Representation Learning: An Application To Alzheimer's Disease. 1548-1552 - Ananya Jana, Hui Qu, Carlos D. Minacapelli, Carolyn Catalano, Vinod Rustgi, Dimitris N. Metaxas:
Liver Fibrosis And NAS Scoring From CT Images Using Self-Supervised Learning And Texture Encoding. 1553-1557 - Shijie Li, Neel Dey, Katharina Bermond, Leon von der Emde, Christine A. Curcio, Thomas Ach, Guido Gerig:
Point-Supervised Segmentation Of Microscopy Images And Volumes Via Objectness Regularization. 1558-1562 - Abhijeet Patil, Mohd. Talha, Aniket Bhatia, Nikhil Cherian Kurian, Sammed Mangale, Sunil Patel, Amit Sethi:
Fast, Self Supervised, Fully Convolutional Color Normalization Of H&E Stained Images. 1563-1567 - Artur Wysoczanski, Elsa D. Angelini, Benjamin M. Smith, Eric A. Hoffman, Grant T. Hiura, Yifei Sun, R. Graham Barr, Andrew F. Laine:
Unsupervised Clustering Of Airway Tree Structures On High-Resolution CT: The Mesa Lung Study. 1568-1572 - Minjeong Kim, Defu Yang, Guorong Wu:
Discovering Unprecedented Heuristics For Hub Identification By Joint Graph Embedding And Reinforcement Learning. 1573-1576 - Shile Qi, Sergey M. Plis, Robyn L. Miller, Rogers F. Silva, Victor M. Vergara, Rongtao Jiang, Dongmei Zhi, Jing Sui, Vince D. Calhoun:
3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia. 1577-1581 - Xiaoxin Wang, Xuyun Wen, Kai Ma, Daoqiang Zhang:
A Multilayer Maximum Spanning Tree Kernel For Brain Networks. 1582-1585 - Hamid Behjat, Iman Aganj, David Abramian, Anders Eklund, Carl-Fredrik Westin:
Characterization Of Spatial Dynamics Of Fmri Data In White Matter Using Diffusion-Informed White Matter Harmonics. 1586-1590 - Yuhui Du, Xingyu He, Vince D. Calhoun:
A New Semi-Supervised Non-Negative Matrix Factorization Method For Brain Dynamic Functional Connectivity Analysis. 1591-1594 - Yasmeen M. George, Suman Sedai, Bhavna Josephine Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi:
Dueling Deep Q-Network For Unsupervised Inter-Frame Eye Movement Correction In Optical Coherence Tomography Volumes. 1595-1599 - Kaveri A. Thakoor, Darius Bordbar, Jiaang Yao, Omar Moussa, Royce W. S. Chen, Paul Sajda:
Hybrid 3d-2d Deep Learning For Detection Of Neovascularage-Related Macular Degeneration Using Optical Coherence Tomography B-Scans And Angiography Volumes. 1600-1604 - Diana Mandache, Emilie Benoit á la Guillaume, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid:
Blind Source Separation In Dynamic Cell Imaging Using Non-Negative Matrix Factorization Applied To Breast Cancer Biopsies. 1605-1608 - Shuai Yu, Jianyang Xie, Jinkui Hao, Yalin Zheng, Jiong Zhang, Yan Hu, Jiang Liu, Yitian Zhao:
3D Vessel Reconstruction In Oct-Angiography Via Depth Map Estimation. 1609-1613 - Zhenjie Chai, Jianlong Yang, Kang Zhou, Zhi Chen, Yitian Zhao, Shenghua Gao, Jiang Liu:
Memory-Assisted Dual-End Adaptation Network For Choroid Segmentation In Multi-Domain Optical Coherence Tomography. 1614-1617 - Anjany Sekuboyina, Daniel Oñoro-Rubio, Jens Kleesiek, Brandon Malone:
A Relational-Learning Perspective To Multi-Label Chest X-Ray Classification. 1618-1622 - Sun Young Park, Dustin Sargent, David Richmond:
Confidence-Guided Learning For Breast Density Classification. 1623-1627 - Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec, Mathieu Lamard, Béatrice Cochener, Gouenou Coatrieux:
Two-Stage Multi-Scale Mass Segmentation From Full Mammograms. 1628-1631 - Antoine Spahr, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Taught Semi-Supervised Anomaly Detection On Upper Limb X-Rays. 1632-1636 - María V. Sainz de Cea, David Gruen, David Richmond:
Pneumoperitoneum Detection In Chest X-Ray By A Deep Learning Ensemble With Model Explainability. 1637-1641 - Marion Piepenbrock, Stefanie Dencks, Georg Schmitz:
Tissue Motion Estimation of Contrast Enhanced Ultrasound Images with A Stable Principal Component Pursuit. 1642-1645 - Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Multi-Modal Learning from Video, Eye Tracking, and Pupillometry for Operator Skill Characterization in Clinical Fetal Ultrasound. 1646-1649 - Bo Liu, Li-Ming Zhan, Li Xu, Lin Ma, Yan Yang, Xiao-Ming Wu:
Slake: A Semantically-Labeled Knowledge-Enhanced Dataset For Medical Visual Question Answering. 1650-1654 - Md. Aminur Rab Ratul, Kun Yuan, Won-Sook Lee:
CCX-rayNet: A Class Conditioned Convolutional Neural Network For Biplanar X-Rays to CT Volume. 1655-1659 - Zhe Xu, Jiangpeng Yan, Jie Luo, William M. Wells III, Xiu Li, Jayender Jagadeesan:
Unimodal Cyclic Regularization For Training Multimodal Image Registration Networks. 1660-1664 - Jefferson Rodríguez, David Romo-Bucheli, Franklin Sierra, Diana Valenzuela, Carolina Valenzuela, Lina Vasquez, Paúl Camacho, Daniel Mantilla, Fabio Martínez:
A Covid-19 Patient Severity Stratification using a 3D Convolutional Strategy on CT-Scans. 1665-1668 - Femke Danckaers, Jeroen Van Houtte, Brian G. Booth, Frederik Verstreken, Jan Sijbers:
Statistical Shape and Pose Model of the Forearm for Custom Splint Design. 1669-1672 - Janka Hatvani, Jerome Michetti, Adrian Basarab, Miklós Gyöngy, Denis Kouamé:
Single Image Super-Resolution Of Noisy 3d Dental Ct Images Using Tucker Decomposition. 1673-1676 - Xin Li, Deng Pan, Dongxiao Zhu:
Defending Against Adversarial Attacks On Medical Imaging Ai System, Classification Or Detection? 1677-1681 - Charles Jabour, Damien Garcia, Thibaud Mathis, Olivier Loria, Cédric Rochepeau, Brahim Harbaoui, Pierre Lantelme, Didier Vray, Odyssée Merveille:
Robust Foveal Avascular Zone Segmentation and Anatomical Feature Extraction from OCT-A Handling Inter-Expert Variability. 1682-1685 - Qing Guo, Hong Song, Jingfan Fan, Danni Ai, Jian Yang, Yuanjin Gao:
A Structural Saliency-Based Approach for Automatic Intrahepatic Vascular Separation From Contrast-Enhanced Multi-Phase MR Images. 1686-1690 - Ahmed Naglah, Fahmi Khalifa, Reem Khaled, Ahmed Abdel Khalek Abdel Razek, Ayman El-Baz:
Thyroid Cancer Computer-Aided Diagnosis System using MRI-Based Multi-Input CNN Model. 1691-1694 - István Lakatos, András Hajdu, Balázs Harangi:
Molecule Classification Using Visualization and Convolutional Neural Network. 1695-1698 - Aurélie Leborgne, Florence Le Ber, Laetitia Degiorgis, Laura Harsan, Stella Marc-Zwecker, Vincent Noblet:
Analysis Of Brain Functional Connectivity By Frequent Pattern Mining In Graphs. Application To The Characterization Of Murine Models. 1699-1703 - Bin Cai, Erkang Cheng, Pengpeng Liang, Chi Xiong, Zhiyong Sun, Qiang Zhang, Bo Song:
Ghost-Light-3dnet: Efficient Network For Heart Segmentation. 1704-1708 - Benoît Vernier, Eric Van Reeth, Frank Pilleul, Olivier Beuf, Hélène Ratiney:
MRI Contrast Enhancement of Magnetization Prepared Steady State Sequence: An Optimal Control Framework. 1709-1713 - Mourad Gridach, Irina Voiculescu:
Dopnet: Densely Oriented Pooling Network For Medical Image Segmentation. 1714-1717 - Kamal Hammouda, Fahmi Khalifa, Ahmed Soliman, Mohammed Ghazal, Mohamed Abou El-Ghar, Mohamed A. Badawy, Hanan E. Darwish, Ayman El-Baz:
A Cad System For Accurate Diagnosis Of Bladder Cancer Staging Using A Multiparametric MRI. 1718-1721 - Lucrezia Carboni, Sophie Achard, Michel Dojat:
Network Embedding For Brain Connectivity. 1722-1725 - Eneko Uruñuela, Stefano Moia, César Caballero-Gaudes:
A Low Rank and Sparse Paradigm Free Mapping Algorithm For Deconvolution of FMRI Data. 1726-1729 - Yiqing Shen, Jing Ke:
Representative Region Based Active Learning For Histological Classification Of Colorectal Cancer. 1730-1733 - Sudhakar Tummala, Niels K. Focke:
Machine Learning Framework For Fully Automatic Quality Checking Of Rigid And Affine Registrations In Big Data Brain MRI. 1734-1737 - Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Unsupervised Deep Learning For Accelerated High Quality Echocardiography. 1738-1741 - Jiaru Li, Bowen Xin, Ziyi Yang, Junyan Xu, Shaoli Song, Xiuying Wang:
Harmonization Centered Ensemble For Small And Highly Imbalanced Medical Data Classification. 1742-1745 - Jiachang Guo, Jun Chen, Chao Lu, Haifeng Huang:
Medical Image Enhancement For Lesion Detection Based On Class-Aware Attention And Deep Colorization. 1746-1750 - Marta Lazzaretti, Luca Calatroni, Claudio Estatico:
Weighted-Celo Sparse Regularisation For Molecule Localisation In Super-Resolution Microscopy With Poisson Data. 1751-1754 - Lidia Talavera-Martínez, Pedro Bibiloni, Manuel González Hidalgo:
How Do Different Tasks Influence Each Other's Learning? Case Study In Dermoscopic Images. 1755-1759 - Tejal Singh, Srinivas Rao Kudavelly, Venkata Suryanarayana K.:
Deep Learning Based Fetal Face Detection And Visualization In Prenatal Ultrasound. 1760-1763 - Sergio Naval Marimont, Giacomo Tarroni:
Anomaly Detection Through Latent Space Restoration Using Vector Quantized Variational Autoencoders. 1764-1767 - Haoyang Wu, Huan Wang, Hao He, Zixiao He, Guotai Wang:
A Novel Weakly Supervised Framework Based On Noisy-Label Learning For Medical Image Segmentation. 1768-1772 - Giammarco La Barbera, Pietro Gori, Haithem Boussaid, Bruno Belucci, Alessandro Delmonte, Jeanne Goulin, Sabine Sarnacki, Laurence Rouet, Isabelle Bloch:
Automatic Size And Pose Homogenization With Spatial Transformer Network To Improve And Accelerate Pediatric Segmentation. 1773-1776 - Wenxi Yu, Hua Zhou, Youngwon Choi, Jonathan G. Goldin, Hyun J. Grace Kim:
Mga-Net: Multi-Scale Guided Attention Models for an Automated Diagnosis of Idiopathic Pulmonary Fibrosis (IPF). 1777-1780 - Léo Milecki, Sylvain Bodard, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou:
3d Unsupervised Kidney Graft Segmentation Based On Deep Learning And Multi-Sequence Mri. 1781-1785 - Wei Zhao, Eleni Maria Manolika, Arnab Ray Chaudhuri, Ihor Smal:
Detection Of Replication Forks In Em Images Using Faster R-Cnn. 1786-1789 - Meiling Wang, Wei Shao, Shuo Huang, Daoqiang Zhang:
Deep Self-Reconstruction Sparse Canonical Correlation Analysis For Brain Imaging Genetics. 1790-1793 - Yali Qiu, Shuangzhi Yu, Yanhong Zhou, Dongdong Liu, Xuegang Song, Tianfu Wang, Baiying Lei:
Multi-channel Sparse Graph Transformer Network for Early Alzheimer's Disease Identification. 1794-1797 - Quanwei Huang, Yuezhi Zhou, Linmi Tao:
Dual-Term Loss Function For Shape-Aware Medical Image Segmentation. 1798-1802 - Pooneh R. Tabrizi, Jonathan Zember, Bruce Michael Sprague, Steven Hoefer, Ramon Sánchez-Jacob, James Jago, Dorothy Bulas, Hans G. Pohl, Marius George Linguraru:
Pediatric Hydronephrosis Severity Assessment Using Convolutional Neural Networks With Standardized Ultrasound Images. 1803-1806 - Aryan Ghazipour, Benjamin Veasey, Albert Seow, Amir A. Amini:
Joint Learning for Deformable Registration and Malignancy Classification of Lung Nodules. 1807-1811 - Mona Zehni, Zhizhen Zhao:
UVTOMO-GAN: An Adversarial Learning Based Approach For Unknown View X-Ray Tomographic Reconstruction. 1812-1816 - Oleksii Bashkanov, Anneke Meyer, Daniel Schindele, Martin Schostak, Klaus-Dietz Tönnies, Christian Hansen, Marko Rak:
Learning Multi-Modal Volumetric Prostate Registration With Weak Inter-Subject Spatial Correspondence. 1817-1821 - Md Abdur Rahaman, Eswar Damaraju, Debbrata Kumar Saha, Vince D. Calhoun, Sergey M. Plis:
Statelets: A Novel Multi-Dimensional State-Shape Representation Of Brain Functional Connectivity Dynamics. 1822-1826 - Pangpang Liu, Fusheng Wang, George Teodoro, Jun Kong:
Histopathology Image Registration By Integrated Texture And Spatial Proximity Based Landmark Selection And Modification. 1827-1830 - Ekaterina Redekop, Alexey Chernyavskiy:
Uncertainty-Based Method for Improving Poorly Labeled Segmentation Datasets. 1831-1835 - Tal Goldfryd, Shiri Gordon, Tammy Riklin Raviv:
Deep Semi-Supervised Bias Field Correction Of Mr Images. 1836-1840 - Xiang Chen, Wenjun Xia, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang:
Fourth- Order Nonlocal Tensor Decomposition Model For Spectral Computed Tomography. 1841-1845 - Shen Zhao, Lee C. Potter, Rizwan Ahmad:
Calibrationless MRI Reconstruction With A Plug-In Denoiser. 1846-1849 - Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya:
Ground-Truth Free Multi-Mask Self-Supervised Physics-Guided Deep Learning in Highly Accelerated MRI. 1850-1854 - Qian Zhao, Wenming Yang, Qingmin Liao:
Adasan: Adaptive Cosine Similarity Self-Attention Network For Gastrointestinal Endoscopy Image Classification. 1855-1859 - Ilaria Boscolo Galazzo, Edoardo Paolini, Walter Endrizzi, Francesco Zumerle, Gloria Menegaz, Silvia Francesca Storti:
Reliability Of Functional Connectivity Measures In Resting-State Test-Retest FMRI Data. 1860-1863 - Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Magnification Generalization For Histopathology Image Embedding. 1864-1868 - Suvadip Mukherjee, Rituparna Sarkar, Elisabeth Labruyère, Jean-Christophe Olivo-Marin:
A Min-Max Based Hyperparameter Estimation For Domain-Adapted Segmentation Of Amoeboid Cells. 1869-1872 - Liqiang Yuan, Marius Erdt, Lipo Wang:
Adaptive Transfer Learning To Enhance Domain Transfer In Brain Tumor Segmentation. 1873-1877 - Milda Poceviciute, Gabriel Eilertsen, Claes Lundström:
Unsupervised Anomaly Detection In Digital Pathology Using GANs. 1878-1882 - Ahmed Shaffie, Ahmed Soliman, Hadil Abu Khalifeh, Mohammed Ghazal, Fatma Taher, Adel Elmaghraby, Ayman El-Baz:
A Novel Framework for Accurate and Non-Invasive Pulmonary Nodule Diagnosis by Integrating Texture and Contour Descriptors. 1883-1886 - Fan He, Sizhe Chen, Shuaiyi Li, Lu Zhou, Haiqin Zhang, Haixia Peng, Xiaolin Huang:
Colonoscopic Image Synthesis For Polyp Detector Enhancement Via Gan And Adversarial Training. 1887-1891 - Mehrsa Pourya, Shayan Aziznejad, Michael Unser, Daniel Sage:
Graphic: Graph-Based Hierarchical Clustering For Single-Molecule Localization Microscopy. 1892-1896 - Ruochen Gao, Zhihui Hou, Jun Li, Hu Han, Bin Lu, S. Kevin Zhou:
Joint Coronary Centerline Extraction And Lumen Segmentation From Ccta Using Cnntracker And Vascular Graph Convolutional Network. 1897-1901 - Jiarui Xing, Sona Ghadimi, Mohamad Abdi, Kenneth C. Bilchick, Frederick H. Epstein, Miaomiao Zhang:
Deep Networks To Automatically Detect Late-Activating Regions Of The Heart. 1902-1906 - Duong-Hung Pham, Adrian Basarab, Jean-Pierre Remenieras, Paul Rodríguez, Denis Kouamé:
Fast High Resolution Blood Flow Estimation and Clutter Rejection Via an Alternating Optimization Problem. 1907-1910 - Hojjat Salehinejad, Edward Ho, Hui-Ming Lin, Priscila Crivellaro, Oleksandra Samorodova, Monica Tafur Arciniegas, Zamir Merali, Suradech Suthiphosuwan, Aditya Bharatha, Kristen W. Yeom, Muhammad Mamdani, Jefferson Wilson, Errol Colak:
Deep Sequential Learning For Cervical Spine Fracture Detection On Computed Tomography Imaging. 1911-1914 - Alvaro Fernandez-Quilez, Steinar Valle Larsen, Morten Goodwin, Thor Ole Gulsrud, Svein Reidar Kjosavik, Ketil Oppedal:
Improving Prostate Whole Gland Segmentation In T2-Weighted MRI With Synthetically Generated Data. 1915-1919 - Tomé Albuquerque, Jaime S. Cardoso:
Embedded Regularization For Classification Of Colposcopic Images. 1920-1923 - Weinan Song, Yuan Liang, Jiawei Yang, Kun Wang, Lei He:
T-Net: Learning Feature Representation With Task-Specific Supervision For Biomedical Image Analysis. 1924-1928 - Priyanka Rana, Erik Meijering, Arcot Sowmya, Yang Song:
Multi-Label Classification Based On Subcellular Region-Guided Feature Description For Protein Localisation. 1929-1933 - Nikhil Cherian Kurian, Pragati Shuddhodhan Meshram, Abhijeet Patil, Sunil Patel, Amit Sethi:
Sample Specific Generalized Cross Entropy for Robust Histology Image Classification. 1934-1938 - Jelica Vasiljevic, Friedrich Feuerhake, Cédric Wemmert, Thomas Andrew Lampert:
Self Adversarial Attack as an Augmentation Method for Immunohistochemical Stainings. 1939-1943 - Jing Wei Tan, Kanggeun Lee, Kyoungbun Lee, Won-Ki Jeong:
Improving the Accuracy of Intrahepatic Cholangiocarcinoma Subtype Classification by Hidden Class Detection via Label Smoothing. 1944-1948 - Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song:
Texture Enhanced Generative Adversarial Network For Stain Normalisation In Histopathology Images. 1949-1952 - Chang Cai, Dou Xu, Chaowei Fang, Meng Yang, Zhongyu Li:
Graph Neural Networks for the Cross-Domain Histopathological Image Classification. 1953-1957 - Minjeong Kim, Guorong Wu:
Constructing Reliable Network Of Biomarker Covariance By Joint Data Harmonization And Graph Learning. 1958-1961 - Abdullah-Al-Zubaer Imran, Debashish Pal, Bhavik N. Patel, Adam S. Wang:
Ssiqa: Multi-Task Learning For Non-Reference Ct Image Quality Assessment With Self-Supervised Noise Level Prediction. 1962-1965 - Yang Yang, Jiancong Chen, Ruixuan Wang, Ting Ma, Lingwei Wang, Jie Chen, Wei-Shi Zheng, Tong Zhang:
Towards Unbiased Covid-19 Lesion Localisation And Segmentation Via Weakly Supervised Learning. 1966-1970 - Benjamin Billot, Stefano Cerri, Koen Van Leemput, Adrian V. Dalca, Juan Eugenio Iglesias:
Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs. 1971-1974 - Zimeng Tan, Jianjiang Feng, Jie Zhou:
Multi-Task Learning Network for Landmark Detection in Anatomical Tree Structures. 1975-1979
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