LEADER 04915nam 22007815 450 001 996558468103316 005 20231013080509.0 010 $a3-031-45857-5 024 7 $a10.1007/978-3-031-45857-6 035 $a(MiAaPQ)EBC30787814 035 $a(Au-PeEL)EBL30787814 035 $a(DE-He213)978-3-031-45857-6 035 $a(PPN)272913995 035 $a(EXLCZ)9928505139300041 100 $a20231013d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDomain Adaptation and Representation Transfer$b[electronic resource] $e5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings /$fedited by Lisa Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (180 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14293 311 08$aPrint version: Koch, Lisa Domain Adaptation and Representation Transfer Cham : Springer,c2023 9783031458569 327 $aDomain 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. 330 $aThis book constitutes the refereed proceedings of the 5th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2023, which was held in conjunction with MICCAI 2023, in October 2023. The 16 full papers presented in this book were carefully reviewed and selected from 32 submissions. They discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains. . 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14293 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aApplication software 606 $aMachine learning 606 $aComputers 606 $aInformation technology$xManagement 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer and Information Systems Applications 606 $aMachine Learning 606 $aComputing Milieux 606 $aComputer Application in Administrative Data Processing 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aApplication software. 615 0$aMachine learning. 615 0$aComputers. 615 0$aInformation technology$xManagement. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer and Information Systems Applications. 615 24$aMachine Learning. 615 24$aComputing Milieux. 615 24$aComputer Application in Administrative Data Processing. 676 $a006 700 $aKoch$b Lisa$01434793 701 $aCardoso$b M. Jorge$01434794 701 $aFerrante$b Enzo$01434795 701 $aKamnitsas$b Konstantinos$01434796 701 $aIslam$b Mobarakol$01434797 701 $aJiang$b Meirui$01434798 701 $aRieke$b Nicola$01434799 701 $aTsaftaris$b Sotirios A$01434800 701 $aYang$b Dong$01434801 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996558468103316 996 $aDomain Adaptation and Representation Transfer$93590350 997 $aUNISA