| Self-Supervised Learning Based on Spatial Awareness for Medical Image Analysis | Aug 30, 2020 | Medical Image AnalysisOrgan Segmentation | CodeCode Available | 0 |
| Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation | Feb 22, 2024 | Contrastive LearningImage Segmentation | CodeCode Available | 0 |
| Disease-informed Adaptation of Vision-Language Models | May 24, 2024 | Medical Image AnalysisRepresentation Learning | CodeCode Available | 0 |
| Automatic Infectious Disease Classification Analysis with Concept Discovery | Aug 28, 2022 | ClassificationMedical Image Analysis | CodeCode Available | 0 |
| A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models | Feb 21, 2025 | Decision MakingKnowledge Distillation | CodeCode Available | 0 |
| Task-Oriented Low-Dose CT Image Denoising | Mar 25, 2021 | DenoisingImage Denoising | CodeCode Available | 0 |
| Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative | Nov 30, 2022 | Anomaly DetectionMedical Image Analysis | CodeCode Available | 0 |
| Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks | Jul 25, 2019 | DiagnosticImage Registration | CodeCode Available | 0 |
| Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification | Mar 5, 2021 | Contrastive LearningGeneral Classification | CodeCode Available | 0 |
| UMIT: Unifying Medical Imaging Tasks via Vision-Language Models | Mar 20, 2025 | DiagnosticMedical Image Analysis | CodeCode Available | 0 |
