| Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions | Jan 7, 2024 | BenchmarkingImage Segmentation | CodeCode Available | 5 |
| Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation | Feb 7, 2024 | Cardiac SegmentationComputational Efficiency | CodeCode Available | 4 |
| Diffusion Models for Medical Image Analysis: A Comprehensive Survey | Nov 14, 2022 | DenoisingMedical Image Analysis | CodeCode Available | 4 |
| Large-Scale 3D Medical Image Pre-training with Geometric Context Priors | Oct 13, 2024 | Contrastive LearningMedical Image Analysis | CodeCode Available | 3 |
| Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis | Jun 5, 2024 | MambaMedical Image Analysis | CodeCode Available | 3 |
| EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation | May 11, 2024 | Computational EfficiencyDecoder | CodeCode Available | 3 |
| How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model | Apr 15, 2024 | DecoderImage Segmentation | CodeCode Available | 3 |
| M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models | Mar 31, 2024 | Image-text RetrievalLanguage Modeling | CodeCode Available | 3 |
| VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis | Feb 27, 2024 | Contrastive LearningMedical Image Analysis | CodeCode Available | 3 |
| Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining | Feb 5, 2024 | Image SegmentationMamba | CodeCode Available | 3 |
