- Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-Truth
- Autonomic Robotic Ultrasound Imaging System Based on Reinforcement Learning
- Comparison of thyroid segmentation techniques for 3D ultrasound
- DEFORMABLE DETR: DEFORMABLE TRANSFORMERS FOR END-TO-END OBJECT DETECTION
- DualGraph: A graph-based method for reasoning about label noise
- Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
- Exploring Simple Siamese Representation Learning
- Generative Classifiers as a Basis for Trustworthy Computer Vision
- How Well Do Self-Supervised Models Transfer?
- IN DEFENSE OF PSEUDO-LABELING: AN UNCERTAINTY-AWARE PSEUDO-LABEL SELECTION FRAMEWORK FOR SEMI-SUPERVISED LEARNING
- Local plasticity rules can learn deep representations using self-supervised contrastive predictions
- Model-Contrastive Federated Learning
- ON GRAPH NEURAL NETWORKS VERSUS GRAPH AUGMENTED MLPS
- pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
- Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem
- Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
- Semi-supervised Medical Image Segmentation through Dual-task Consistency
- TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification
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