| Efficient Self-Supervised Adaptation for Medical Image Analysis | Mar 24, 2025 | GPUMedical Image Analysis | CodeCode Available | 1 | 5 |
| Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection | Aug 30, 2024 | counterfactualMedical Image Analysis | CodeCode Available | 1 | 5 |
| Boundary loss for highly unbalanced segmentation | Dec 17, 2018 | Brain Lesion Segmentation From MriIschemic Stroke Lesion Segmentation | CodeCode Available | 1 | 5 |
| Boundary-assisted Region Proposal Networks for Nucleus Segmentation | Jun 4, 2020 | Boundary DetectionInstance Segmentation | CodeCode Available | 1 | 5 |
| Brain Imaging Generation with Latent Diffusion Models | Sep 15, 2022 | Medical Image Analysis | CodeCode Available | 1 | 5 |
| Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks | Sep 25, 2022 | Medical Image AnalysisSelf-Supervised Learning | CodeCode Available | 1 | 5 |
| Bayesian Optimization Meets Self-Distillation | Apr 25, 2023 | Bayesian Optimizationimage-classification | CodeCode Available | 1 | 5 |
| Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation | Sep 18, 2021 | Domain GeneralizationImage Segmentation | CodeCode Available | 1 | 5 |
| FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis | Oct 8, 2023 | FairnessMedical Diagnosis | CodeCode Available | 1 | 5 |
| Big Self-Supervised Models Advance Medical Image Classification | Jan 13, 2021 | ClassificationContrastive Learning | CodeCode Available | 1 | 5 |
