Domain adaptation and representation transfer : 4th MICCAI Workshop, DART 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings / Konstantinos Kamnitsas, Lisa Koch, Mobarakol Islam, Ziyue Xu, Jorge Cardoso, Qi Dou, Nicola Rieke, Sotirios Tsaftaris (eds.).

Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification
Benchmarking Transformers for Medical Image Classification
Supervised domain adaptation using gradients transfer for improved medical image analysis
Stain-AgLr: Stain Agnostic Learning for Computational Histopathology using Domain Consistency and Stain Regeneration Loss
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation
Unsupervised site adaptation by intra-site variability alignment
Discriminative, Restorative, and Adversarial Learning: Stepwise Incremental Pretraining
POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis
Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging
Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images
Task-agnostic Continual Hippocampus Segmentation for Smooth Population Shifts
Adaptive Optimization with Fewer Epochs Improves Across-Scanner Generalization of U-Net based Medical Image Segmentation
CateNorm: Categorical Normalization for Robust Medical Image Segmentation.