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| MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis | Oct 12, 2021 | DecoderMedical Image Analysis | —Unverified | 0 | 0 |
| MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning | Feb 26, 2025 | Domain GeneralizationMedical Image Analysis | —Unverified | 0 | 0 |
| Meta Corrupted Pixels Mining for Medical Image Segmentation | Jul 7, 2020 | Image SegmentationMedical Image Analysis | —Unverified | 0 | 0 |
| Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation | May 11, 2023 | Cardiac SegmentationDomain Adaptation | —Unverified | 0 | 0 |
| MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis | Jun 29, 2024 | Federated LearningMedical Image Analysis | —Unverified | 0 | 0 |
| MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis | Apr 24, 2024 | Computed Tomography (CT)Medical Image Analysis | —Unverified | 0 | 0 |
| Medical Image Registration via Neural Fields | Jun 7, 2022 | Image RegistrationMedical Image Analysis | —Unverified | 0 | 0 |
| Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis | Jul 4, 2023 | AttributeFairness | —Unverified | 0 | 0 |
| MixCL: Pixel label matters to contrastive learning | Mar 4, 2022 | Contrastive LearningImage Segmentation | —Unverified | 0 | 0 |
