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ORCIDDEMI@MICCAI 2023: Vancouver, BC, Canada
- Binod Bhattarai
, Sharib Ali, Anita Rau, Anh Nguyen, Ana I. L. Namburete, Razvan Caramalau, Danail Stoyanov:
Data Engineering in Medical Imaging - First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14314, Springer 2023, ISBN 978-3-031-44991-8 - Ziyang Wang, Irina Voiculescu:
Weakly Supervised Medical Image Segmentation Through Dense Combinations of Dense Pseudo-Labels. 1-10 - Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz:
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. 11-20 - Ronast Subedi, Rebati Raman Gaire, Sharib Ali, Anh Nguyen, Danail Stoyanov, Binod Bhattarai:
A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation. 21-33 - Michal Byra, Ziemowit Klimonda, Jerzy Litniewski:
Pre-training with Simulated Ultrasound Images for Breast Mass Segmentation and Classification. 34-45 - Stefan Denner, Jonas Scherer, Klaus Kades, Dimitrios Bounias, Philipp Schader, Lisa Kausch, Markus Bujotzek, Andreas Michael Bucher, Tobias Penzkofer, Klaus H. Maier-Hein:
Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications. 46-55 - Wenyue Jin, Rema Daher, Danail Stoyanov, Francisco Vasconcelos:
A Self-supervised Approach for Detecting the Edges of Haustral Folds in Colonoscopy Video. 56-66 - Thomas Dowrick, Long Chen, João Ramalhinho, Juana González-Bueno Puyal, Matthew J. Clarkson:
Procedurally Generated Colonoscopy and Laparoscopy Data for Improved Model Training Performance. 67-77 - Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte:
Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining. 78-90 - Michael Young, Zixin Yang, Richard A. Simon, Cristian A. Linte:
Investigating Transformer Encoding Techniques to Improve Data-Driven Volume-to-Surface Liver Registration for Image-Guided Navigation. 91-101 - Ajay Pyatha, Ziang Xu, Sharib Ali:
Vision Transformer-Based Self-supervised Learning for Ulcerative Colitis Grading in Colonoscopy. 102-110 - Anita Rau, Binod Bhattarai, Lourdes Agapito, Danail Stoyanov:
Task-Guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy. 111-122
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