Abstract is missing.
- Weakly Supervised Medical Image Segmentation Through Dense Combinations of Dense Pseudo-LabelsZiyang Wang, Irina Voiculescu. 1-10 [doi]
- Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node MetastasisGlejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz. 11-20 [doi]
- A Client-Server Deep Federated Learning for Cross-Domain Surgical Image SegmentationRonast Subedi, Rebati Raman Gaire, Sharib Ali, Anh Nguyen, Danail Stoyanov, Binod Bhattarai. 21-33 [doi]
- Pre-training with Simulated Ultrasound Images for Breast Mass Segmentation and ClassificationMichal Byra, Ziemowit Klimonda, Jerzy Litniewski. 34-45 [doi]
- Efficient Large Scale Medical Image Dataset Preparation for Machine Learning ApplicationsStefan Denner, Jonas Scherer, Klaus Kades, Dimitrios Bounias, Philipp Schader, Lisa Kausch, Markus Bujotzek, Andreas Michael Bucher, Tobias Penzkofer, Klaus H. Maier-Hein. 46-55 [doi]
- A Self-supervised Approach for Detecting the Edges of Haustral Folds in Colonoscopy VideoWenyue Jin, Rema Daher, Danail Stoyanov, Francisco Vasconcelos. 56-66 [doi]
- Procedurally Generated Colonoscopy and Laparoscopy Data for Improved Model Training PerformanceThomas Dowrick, Long Chen, João Ramalhinho, Juana González-Bueno Puyal, Matthew J. Clarkson. 67-77 [doi]
- Improving Medical Image Classification in Noisy Labels Using only Self-supervised PretrainingBidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte. 78-90 [doi]
- Investigating Transformer Encoding Techniques to Improve Data-Driven Volume-to-Surface Liver Registration for Image-Guided NavigationMichael Young, Zixin Yang, Richard Simon, Cristian A. Linte. 91-101 [doi]
- Vision Transformer-Based Self-supervised Learning for Ulcerative Colitis Grading in ColonoscopyAjay Pyatha, Ziang Xu, Sharib Ali. 102-110 [doi]
- Task-Guided Domain Gap Reduction for Monocular Depth Prediction in EndoscopyAnita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov. 111-122 [doi]