Abstract is missing.
- A Systematic Benchmarking Analysis of Transfer Learning for Medical Image AnalysisMohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang. 3-13 [doi]
- Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation LearningGabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris. 14-24 [doi]
- FDA: Feature Decomposition and Aggregation for Robust Airway SegmentationMinghui Zhang, Xin Yu, Hanxiao Zhang, Hao Zheng, Weihao Yu, Hong Pan, Xiangran Cai, Yun Gu. 25-34 [doi]
- Adversarial Continual Learning for Multi-domain Hippocampal SegmentationMarius Memmel, Camila González, Anirban Mukhopadhyay 0003. 35-45 [doi]
- Self-supervised Multimodal Generalized Zero Shot Learning for Gleason GradingDwarikanath Mahapatra, Behzad Bozorgtabar, Shiba Kuanar, ZongYuan Ge. 46-56 [doi]
- Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade SegmentationDwarikanath Mahapatra, Shiba Kuanar, Behzad Bozorgtabar, ZongYuan Ge. 57-67 [doi]
- Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time TrainingGabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris. 68-78 [doi]
- Transductive Image Segmentation: Self-training and Effect of Uncertainty EstimationKonstantinos Kamnitsas, Stefan Winzeck, Evgenios N. Kornaropoulos, Daniel Whitehouse, Cameron Englman, Poe Phyu, Norman Pao, David K. Menon, Daniel Rueckert, Tilak Das, Virginia F. J. Newcombe, Ben Glocker. 79-89 [doi]
- Unsupervised Domain Adaptation with Semantic Consistency Across Heterogeneous Modalities for MRI Prostate Lesion SegmentationEleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki. 90-100 [doi]
- Cohort Bias Adaptation in Aggregated Datasets for Lesion SegmentationBrennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel. 101-111 [doi]
- Exploring Deep Registration Latent SpacesThéo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch. 112-122 [doi]
- Learning from Partially Overlapping Labels: Image Segmentation Under Annotation ShiftGregory Filbrandt, Konstantinos Kamnitsas, David Bernstein, Alexandra Taylor, Ben Glocker. 123-132 [doi]
- Unsupervised Domain Adaption via Similarity-Based Prototypes for Cross-Modality SegmentationZiyu Ye, Chen Ju, Chaofan Ma, Xiaoyun Zhang. 133-143 [doi]
- Classification and Generation of Microscopy Images with Plasmodium Falciparum via Artificial Neural Networks Using Low Cost SettingsRija Tonny Christian Ramarolahy, Esther Opoku Gyasi, Alessandro Crimi. 147-157 [doi]
- Contrast and Resolution Improvement of POCUS Using Self-consistent CycleGANShujaat Khan, Jaeyoung Huh, Jong Chul Ye. 158-167 [doi]
- Low-Dose Dynamic CT Perfusion Denoising Without Training DataViswanath P. Sudarshan, Athulkumar R, K. Pavan Kumar Reddy, Jayavardhana Gubbi, Balamuralidhar Purushothaman. 168-179 [doi]
- Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation TrajectoryAlpay Tekin, Ahmed Nebli, Islem Rekik. 180-190 [doi]
- COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound ImagingAlexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong. 191-202 [doi]
- Inter-domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student LearningBasar Demir, Alaa Bessadok, Islem Rekik. 203-215 [doi]
- Sickle Cell Disease Severity Prediction from Percoll Gradient Images Using Graph Convolutional NetworksArio Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr. 216-225 [doi]
- Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical SettingsShikhar Srivastava 0001, Mohammad Yaqub, Karthik Nandakumar, ZongYuan Ge, Dwarikanath Mahapatra. 226-238 [doi]
- Deep Learning Based Automatic Detection of Adequately Positioned MammogramsVikash Gupta, Clayton Taylor, Sarah Bonnet, Luciano M. Prevedello, Jeffrey Hawley, Richard D. White, Mona G. Flores, Barbaros Selnur Erdal. 239-250 [doi]
- Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities?Samuel Budd, Thomas Day, John M. Simpson, Karen Lloyd, Jacqueline Matthew, Emily Skelton, Reza Razavi, Bernhard Kainz. 251-262 [doi]