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ORCID5th DART@MICCAI 2023: Vancouver, BC, Canada
- Lisa M. Koch
, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang:
Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Lecture Notes in Computer Science 14293, Springer 2024, ISBN 978-3-031-45856-9 - Rafsanjany Kushol, Richard Frayne, Simon J. Graham, Alan H. Wilman, Sanjay Kalra, Yee-Hong Yang:
Domain Adaptation of MRI Scanners as an Alternative to MRI Harmonization. 1-11 - Edoardo Mello Rella, Ajad Chhatkuli, Ender Konukoglu, Luc Van Gool:
MultiVT: Multiple-Task Framework for Dentistry. 12-21 - Satoshi Kondo:
Black-Box Unsupervised Domain Adaptation for Medical Image Segmentation. 22-30 - Tomer Bar Natan, Hayit Greenspan, Jacob Goldberger:
PLST: A Pseudo-labels with a Smooth Transition Strategy for Medical Site Adaptation. 31-40 - Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil:
Compositional Representation Learning for Brain Tumour Segmentation. 41-51 - Ainkaran Santhirasekaram, Mathias Winkler, Andrea G. Rockall, Ben Glocker:
Hierarchical Compositionality in Hyperbolic Space for Robust Medical Image Segmentation. 52-62 - Sarah Cechnicka, James Ball, Hadrien Reynaud, Callum Arthurs, Candice Roufosse, Bernhard Kainz:
Realistic Data Enrichment for Robust Image Segmentation in Histopathology. 63-72 - Trinh Thi Le Vuong, Jin Tae Kwak:
Boosting Knowledge Distillation via Random Fourier Features for Prostate Cancer Grading in Histopathology Images. 73-83 - Sophie Loizillon, Olivier Colliot, Lydia Chougar, Sebastian Ströer, Yannick Jacob, Aurélien Maire, Didier Dormont, Ninon Burgos:
Semi-supervised Domain Adaptation for Automatic Quality Control of FLAIR MRIs in a Clinical Data Warehouse. 84-93 - Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang:
Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-supervision. 94-104 - Levy G. Chaves, Alceu Bissoto, Eduardo Valle, Sandra Avila:
The Performance of Transferability Metrics Does Not Translate to Medical Tasks. 105-114 - Aleksandr Matsun, Dana O. Mohamed, Sharon Chokuwa, Muhammad Ridzuan, Mohammad Yaqub:
DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification. 115-125 - Raza Imam, Ibrahim Almakky, Salma Alrashdi, Baketah Alrashdi, Mohammad Yaqub:
SEDA: Self-ensembling ViT with Defensive Distillation and Adversarial Training for Robust Chest X-Rays Classification. 126-135 - Ario Sadafi, Raheleh Salehi, Armin Gruber, Sayedali Shetab Boushehri, Pascal Giehr, Nassir Navab, Carsten Marr:
A Continual Learning Approach for Cross-Domain White Blood Cell Classification. 136-146 - Iaroslav Plutenko, Mikhail Papkov, Kaupo Palo, Leopold Parts, Dmytro Fishman:
Metadata Improves Segmentation Through Multitasking Elicitation. 147-155 - Qi Wu, Yuyao Zhang, Marawan Elbatel:
Self-prompting Large Vision Models for Few-Shot Medical Image Segmentation. 156-167
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