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ORCIDMedical Image Analysis, Volume 68
Volume 68, February 2021
- Feihong Liu
, Jun Feng, Geng Chen, Dinggang Shen, Pew-Thian Yap:
Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering. 101828 - Nandinee Fariah Haq, Mehdi Moradi, Zhen Jane Wang:
A deep community based approach for large scale content based X-ray image retrieval. 101847 - Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Mitko Veta:
Roto-translation equivariant convolutional networks: Application to histopathology image analysis. 101849 - Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint. 101853 - Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson, R. S. Vishwanath, Abishek Balachandran, James M. Balter, Yue Cao, Ramandeep Singh, Subba R. Digumarthy, Mannudeep K. Kalra, Sasa Grbic, Dorin Comaniciu:
Quantifying and leveraging predictive uncertainty for medical image assessment. 101855 - Yufan He, Aaron Carass, Yihao Liu, Bruno M. Jedynak, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
Structured layer surface segmentation for retina OCT using fully convolutional regression networks. 101856 - Han Peng, Weikang Gong, Christian F. Beckmann, Andrea Vedaldi, Stephen M. Smith:
Accurate brain age prediction with lightweight deep neural networks. 101871 - Jing Hu, Ziwei Luo, Xin Wang, Shanhui Sun, Youbing Yin, Kunlin Cao, Qi Song, Siwei Lyu, Xi Wu:
End-to-end multimodal image registration via reinforcement learning. 101878 - Yue Zhang, Jiong Wu, Yilong Liu, Yifan Chen, Wei Chen, Ed X. Wu, Chunming Li, Xiaoying Tang:
A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set. 101884 - Rodney LaLonde, Ziyue Xu, Ismail Irmakci, Sanjay Jain, Ulas Bagci:
Capsules for biomedical image segmentation. 101889 - Mart van Rijthoven, Maschenka Balkenhol, Karina Silina, Jeroen van der Laak, Francesco Ciompi:
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images. 101890 - Huisi Wu, Xuheng Lu, Baiying Lei, Zhenkun Wen:
Automated left ventricular segmentation from cardiac magnetic resonance images via adversarial learning with multi-stage pose estimation network and co-discriminator. 101891 - Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark A. Anastasio, Hua Li:
Deeply-supervised density regression for automatic cell counting in microscopy images. 101892 - Yuhan Zhang, Xiwei Zhang, Zexuan Ji, Sijie Niu, Theodore Leng, Daniel L. Rubin, Songtao Yuan, Qiang Chen:
An integrated time adaptive geographic atrophy prediction model for SD-OCT images. 101893 - Benoît Audelan, Hervé Delingette:
Unsupervised quality control of segmentations based on a smoothness and intensity probabilistic model. 101895 - Yesenia Gonzalez, Chenyang Shen, Hyunuk Jung, Dan Nguyen, Steve B. Jiang, Kevin Albuquerque, Xun Jia:
Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach. 101896 - Hemin Ali Qadir, Younghak Shin, Johannes Solhusvik, Jacob Bergsland, Lars Aabakken, Ilangko Balasingham:
Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction. 101897 - Jan Maria Juszczyk, Pawel Badura, Joanna Czajkowska, Agata Wijata, Jacek Andrzejewski, Pawel Bozek, Michal Smolinski, Marta Biesok, Agata Sage, Marcin Rudzki, Wojciech Wieclawek:
Automated size-specific dose estimates using deep learning image processing. 101898 - Omar Dekhil, Ahmed Shalaby, Ahmed Soliman, Ali Mahmoud, Maiying Kong, Gregory Barnes, Adel Elmaghraby, Ayman El-Baz:
Identifying brain areas correlated with ADOS raw scores by studying altered dynamic functional connectivity patterns. 101899 - Sharib Ali, Felix Zhou, Adam Bailey, Barbara Braden, James E. East, Xin Lu, Jens Rittscher:
A deep learning framework for quality assessment and restoration in video endoscopy. 101900 - Qiaoying Huang, Yikun Xian, Dong Yang, Hui Qu, Jingru Yi, Pengxiang Wu, Dimitris N. Metaxas:
Dynamic MRI reconstruction with end-to-end motion-guided network. 101901 - Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik:
Brain graph synthesis by dual adversarial domain alignment and target graph prediction from a source graph. 101902 - Cheng Lu, Can Koyuncu, Germán Corredor, Prateek Prasanna, Patrick Leo, Xiangxue Wang, Andrew Janowczyk, Kaustav Bera, James S. Lewis Jr., Vamsidhar Velcheti, Anant Madabhushi:
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers. 101903 - Minmin Zeng, Zhenlei Yan, Shuai Liu, Yanheng Zhou, Lixin Qiu:
Cascaded convolutional networks for automatic cephalometric landmark detection. 101904 - Muthu Rama Krishnan Mookiah, Stephen Hogg, Tom J. MacGillivray, Vijayaraghavan Prathiba, Rajendra Pradeepa, Viswanathan Mohan, Ranjit Mohan Anjana, Alexander S. Doney, Colin N. A. Palmer, Emanuele Trucco:
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification. 101905 - Georgios Lazaridis, Marco Lorenzi, Sébastien Ourselin, David Garway-Heath:
Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks. 101906 - Neerav Karani, Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu:
Test-time adaptable neural networks for robust medical image segmentation. 101907 - Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras:
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. 101908 - Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu:
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy. 101909 - Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Bin Song, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen:
Hypergraph learning for identification of COVID-19 with CT imaging. 101910 - Angshuman Paul, Yuxing Tang, Thomas C. Shen, Ronald M. Summers:
Discriminative ensemble learning for few-shot chest x-ray diagnosis. 101911 - Ozan Ciga, Anne L. Martel:
Learning to segment images with classification labels. 101912 - Xing Wu, Cheng Chen, Mingyu Zhong, Jianjia Wang, Jun Shi:
COVID-AL: The diagnosis of COVID-19 with deep active learning. 101913 - Xiyue Wang, Yuqi Fang, Sen Yang, Delong Zhu, Minghui Wang, Jing Zhang, Kai-Yu Tong, Xiao Han:
A hybrid network for automatic hepatocellular carcinoma segmentation in H&E-stained whole slide images. 101914 - Simon M. Thomas, James G. Lefevre, Glenn W. Baxter, Nicholas A. Hamilton:
Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer. 101915 - Xiaoran Zhang, Michelle Noga, David Glynn Martin, Kumaradevan Punithakumar:
Fully automated left atrium segmentation from anatomical cine long-axis MRI sequences using deep convolutional neural network with unscented Kalman filter. 101916 - Runze Han, Ali Uneri, Rohan C. Vijayan, Pengwei Wu, Prasad Vagdargi, Niral Sheth, Sebastian Vogt, Gerhard Kleinszig, G. M. Osgood, Jeffrey H. Siewerdsen:
Fracture reduction planning and guidance in orthopaedic trauma surgery via multi-body image registration. 101917 - Wei Shao, Linda Banh, Christian A. Kunder, Richard E. Fan, Simon John Christoph Soerensen, Jeffrey B. Wang, Nikola C. Teslovich, Nikhil Madhuripan, Anugayathri Jawahar, Pejman Ghanouni, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu:
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate. 101919 - Jiulong Liu, Angelica I. Avilés-Rivero, Hui Ji, Carola-Bibiane Schönlieb:
Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction. 101930 - Luigi E. Perotti, Ilya A. Verzhbinsky, Kévin Moulin, Tyler E. Cork, Michael Loecher, Daniel Balzani, Daniel B. Ennis:
Estimating cardiomyofiber strain in vivo by solving a computational model. 101932 - Angelica I. Avilés-Rivero, Noémie Debroux, Guy B. Williams, Martin J. Graves, Carola-Bibiane Schönlieb:
Compressed sensing plus motion (CS + M): A new perspective for improving undersampled MR image reconstruction. 101933 - Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Ertunc Erdil, Anton S. Becker, Olivio Donati, Ender Konukoglu:
Semi-supervised task-driven data augmentation for medical image segmentation. 101934 - Bin Li, Adib Keikhosravi, Agnes G. Loeffler, Kevin W. Eliceiri:
Single image super-resolution for whole slide image using convolutional neural networks and self-supervised color normalization. 101938 - Veronica Corona, Angelica I. Avilés-Rivero, Noémie Debroux, Carole Le Guyader, Carola-Bibiane Schönlieb:
Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution. 101941 - David Marlevi, Maximilian Balmus, Andreas Hessenthaler, Federica Viola, Daniel Fovargue, Adelaide de Vecchi, Pablo Lamata, Nicholas S. Burris, Francis D. Pagani, Jan E. Engvall, Elazer R. Edelman, Tino Ebbers, David A. Nordsletten:
Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy. 101948
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