05316nam a22007095i 4500 978-3-031-45857-6 DE-He213 20251211131010.0 cr nn 008mamaa 231013s2024 sz | s |||| 0|eng d 9783031458576 978-3-031-45857-6 10.1007/978-3-031-45857-6 doi TA1501-1820 TA1634 UYT bicssc COM016000 bisacsh UYT thema Domain Adaptation and Representation Transfer [electronic resource] : 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / edited by Lisa Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 170 p. 44 illus., 40 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Computer Science, 1611-3349 ; 14293 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. 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. . Image processing Digital techniques. 64228 Computer vision. Application software. Machine learning. 55059 Computers. 65793 Information technology Management. 57223 Computer Imaging, Vision, Pattern Recognition and Graphics. 65550 Computer and Information Systems Applications. Machine Learning. 55059 Computing Milieux. 66530 Computer Application in Administrative Data Processing. 66531 Koch, Lisa. editor. edt http://id.loc.gov/vocabulary/relators/edt 66532 Cardoso, M. Jorge. editor. edt http://id.loc.gov/vocabulary/relators/edt 66533 Ferrante, Enzo. editor. (orcid)0000-0002-8500-788X https://orcid.org/0000-0002-8500-788X edt http://id.loc.gov/vocabulary/relators/edt 66534 Kamnitsas, Konstantinos. editor. edt http://id.loc.gov/vocabulary/relators/edt 66535 Islam, Mobarakol. editor. edt http://id.loc.gov/vocabulary/relators/edt 66536 Jiang, Meirui. editor. edt http://id.loc.gov/vocabulary/relators/edt 66537 Rieke, Nicola. editor. edt http://id.loc.gov/vocabulary/relators/edt 66538 Tsaftaris, Sotirios A. editor. edt http://id.loc.gov/vocabulary/relators/edt 66539 Yang, Dong. editor. edt http://id.loc.gov/vocabulary/relators/edt 66540 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031458569 Printed edition: 9783031458583 Lecture Notes in Computer Science (LNCS) (Springer, Berlin) 1611-3349 ; 14293 51960 https://doi.org/10.1007/978-3-031-45857-6 ZDB-2-SCS ZDB-2-SXCS ZDB-2-LNC 56396 56396