Abstract is missing.
- Heatmap Regression for Lesion Detection Using Pointwise AnnotationsChelsea Myers-Colet, Julien Schroeter, Douglas L. Arnold, Tal Arbel. 3-12 [doi]
- Partial Annotations for the Segmentation of Large Structures with Low Annotation CostBella Specktor-Fadida, Daphna Link-Sourani, Liat Ben-Sira, Elka Miller, Dafna Ben-Bashat, Leo Joskowicz. 13-22 [doi]
- Abstraction in Pixel-wise Noisy Annotations Can Guide Attention to Improve Prostate Cancer Grade AssessmentHyeongsub Kim, Seo Taek Kong, Hongseok Lee, Kyungdoc Kim, Kyu-Hwan Jung. 23-31 [doi]
- Meta Pixel Loss Correction for Medical Image Segmentation with Noisy LabelsZhuotong Cai, Jingmin Xin, Peiwen Shi, Sanping Zhou, Jiayi Wu, Nanning Zheng 0001. 32-41 [doi]
- Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer PredictionHanxiao Zhang, Xiao Gu 0003, Minghui Zhang, Weihao Yu, Liang Chen, Zhexin Wang, Feng Yao, Yun Gu, Guang-Zhong Yang. 42-51 [doi]
- Universal Lesion Detection and Classification Using Limited Data and Weakly-Supervised Self-trainingVarun Naga, Tejas Sudharshan Mathai, Angshuman Paul, Ronald M. Summers. 55-64 [doi]
- BoxShrink: From Bounding Boxes to Segmentation MasksMichael Gröger, Vadim Borisov, Gjergji Kasneci. 65-75 [doi]
- Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 DiagnosisXiao Qi, David J. Foran, John L. Nosher, Ilker Hacihaliloglu. 76-85 [doi]
- SB-SSL: Slice-Based Self-supervised Transformers for Knee Abnormality Classification from MRISara Atito, Syed Muhammad Anwar, Muhammad Awais 0001, Josef Kittler. 86-95 [doi]
- Optimizing Transformations for Contrastive Learning in a Differentiable FrameworkCamille Ruppli, Pietro Gori, Roberto Ardon, Isabelle Bloch. 96-105 [doi]
- Stain Based Contrastive Co-training for Histopathological Image AnalysisBodong Zhang, Beatrice Knudsen, Deepika Sirohi, Alessandro Ferrero, Tolga Tasdizen. 106-116 [doi]
- CLINICAL: Targeted Active Learning for Imbalanced Medical Image ClassificationSuraj Kothawade, Atharv Savarkar, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer. 119-129 [doi]
- Real Time Data Augmentation Using Fractional Linear Transformations in Continual LearningArijit Patra. 130-140 [doi]
- DIAGNOSE: Avoiding Out-of-Distribution Data Using Submodular Information MeasuresSuraj Kothawade, Akshit Shrivastava, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer. 141-150 [doi]
- Auto-segmentation of Hip Joints Using MultiPlanar UNet with Transfer LearningPeidi Xu, Faezeh Moshfeghifar, Torkan Gholamalizadeh, Michael Bachmann Nielsen, Kenny Erleben, Sune Darkner. 153-162 [doi]
- Asymmetry and Architectural Distortion Detection with Limited Mammography DataZhenjie Cao, Xiaoyun Zhou, YuXing Tang, Mei Han, Jing Xiao 0006, Jie Ma, Peng Chang 0002. 163-173 [doi]
- Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CTPeter D. Erickson, Tejas Sudharshan Mathai, Ronald M. Summers. 177-186 [doi]
- CVAD: An Anomaly Detector for Medical Images Based on Cascade VAEXiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee. 187-196 [doi]
- Visual Field Prediction with Missing and Noisy Data Based on Distance-Based LossQuang T. M. Pham, Jong Chul Han, Jitae Shin. 199-205 [doi]
- Image Quality Classification for Automated Visual Evaluation of Cervical PrecancerZhiyun Xue, Sandeep Angara, Peng Guo, Sivaramakrishnan Rajaraman, Jose Jeronimo, Ana Cecilia Rodriguez, Karla Alfaro, Kittipat Charoenkwan, Chemtai Mungo, Joel Fokom Domgue, Nicolas Wentzensen, Kanan T. Desai, Olusegun Kayode Ajenifuja, Elisabeth Wikstrom, Brian Befano, Silvia De Sanjosé, Mark Schiffman, Sameer K. Antani. 206-217 [doi]
- A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG DataDongyang Kuang, Craig Michoski, Wenting Li, Rui Guo. 218-228 [doi]
- Automated Skin Biopsy Analysis with Limited DataYung-Chieh Chan, Jerry Zhang, Katie Frizzi, Nigel Calcutt, Garrison W. Cottrell. 229-238 [doi]