Result Filters
Domain adaptation and representation transfer : 5th MICCAI Workshop, DART 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Domain Adaptation and Representation Transfer (Workshop) (5th : 2023 : Vancouver, B.C.)
- Author(s):
- Koch, Lisa, editor
- Cardoso, M Jorge, editor
- Ferrante, Enzo, editor
- Kamnitsas, Konstantinos, editor
- Islam, Mobarakol, editor
- Jiang, Meirui, editor
- Rieke, Nicola, editor
- Tsaftaris, Sotirios A, editor
- Yang, Dong, editor
- Domain Adaptation and Representation Transfer (Workshop) (5th 2023 Vancouver BC)
- International Conference on Medical Image Computing and Computer-Assisted Intervention (26th 2023 Vancouver BC)
- NLM Title Abbreviation:
- Domain Adapt Represent Transf (2023)
- Title(s):
- Domain adaptation and representation transfer : 5th MICCAI Workshop, DART 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / Lisa Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang, editors.
- Other Title(s):
- DART 2023
- Series:
- Lecture Notes in Computer Science, ; 14293 ISSN 1611-3349
- Country of Publication:
- Switzerland
- Publisher:
- Cham, Switzerland : Springer, [2024].
- Description:
- 1 online resource (x, 170 pages) : illustrations (some color).
-
Language:
- English
- ISBN:
- 9783031458576
3031458575
9783031458569
3031458567
- Electronic Links:
- Access not provided by NLM
- Summary:
- This book constitutes the refereed proceedings of the 5th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2023, which was held in conjunction with MICCAI 2023, in October 2023. The 16 full papers presented in this book were carefully reviewed and selected from 32 submissions. They discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains.
- In:
- PubMed: Selected citations only
- Current Indexing Status:
- Not currently indexed for MEDLINE. Citations are for articles where the manuscript was deposited in PubMed Central (PMC) in compliance with public access policies. For further information, see Author Manuscripts in PMC.
- Notes:
- Includes author index.
Also issued in print.
- Contents:
- Domain adaptation of MRI scanners as an alternative to MRI harmonization -- MultiVT: Multiple-Task Framework for Dentistry -- Black-Box Unsupervised Domain Adaptation for Medical Image Segmentation -- PLST: A Pseudo-Labels with a Smooth Transition Strategy for Medical Site Adaptation -- Compositional Representation Learning for Brain Tumor Segmentation -- Hierarchical Compositionality in Hyperbolic Space for Robust Medical Image Segmentation -- Realistic Data Enrichment for Robust Image Segmentation in Kidney Transplant Pathology -- Boosting Knowledge Distillation via Random Fourier Features for Prostate Cancer Grading in Histopathology Images -- Semi-supervised Domain Adaptation for Automatic Quality Control of FLAIR MRIs in a Clinical Data Warehouse -- Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervision -- The Performance of Transferability Metrics does not Translate to Medical Tasks -- DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification -- SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification -- A Continual Learning Approach for Cross-Domain White Blood Cell Classification -- Metadata Improves Segmentation Through Multitasking Elicitation -- Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation.
- Other ID:
- (OCoLC)1404456525
- Collection Status:
- Not in the NLM Collection
- NLM ID:
- 9918804283206676 [Electronic Resource]