mlsanityData to 7 Oct 2026

Mamba for medical image analysis

259 papers0 this weekHigh confidence in this grouping: the papers form one clear topicHigh confidence in this grouping: the papers form one clear topic · About

Keywords: segmentation, medical, mamba, image, medical image

Key facts. Mamba for medical image analysis: 259 papers on arXiv since 2023 (data through 7 Oct 2026). 94 of its 259 mapped papers (36%) cite “U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation” (2024, arXiv 2401.04722). 77 of its 259 mapped papers (30%) cite “SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation” (2024, arXiv 2401.13560). 3 new papers 18 Sep–7 Oct.

What’s new

18 Sep – 7 Oct 2026

3 new since 18 Sep

  1. GAD-MambaUNet: Direction-Group Mamba with Gradient-Adaptive DINOv3 Distillation for Lightweight Medical Image Segmentation
  2. SLICEChat: Progressive In-Encoder Token Pruning for Whole-Slide Pathology Language Models
  3. U-PEN Mamba: Progressive Expansion with Selective State-Space Modeling for Efficient Retinal Vessel Segmentation

Foundations

Most cited by papers here

  1. U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation2024cited by 94 here
  2. SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation2024cited by 77 here
  3. VM-UNet: Vision Mamba UNet for Medical Image Segmentation2024cited by 70 here
  4. Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining2024cited by 41 here
  5. Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation2024cited by 40 here

Lineage

The papers this direction builds on, oldest first.

Each paper on the line cites the one before.

  1. 2021Efficiently Modeling Long Sequences with Structured State Spacescited by 81 here
  2. 2023Selective Structured State-Spaces for Long-Form Video Understandingcited by 10 here
  3. 2023Mamba: Linear-Time Sequence Modeling with Selective State Spacescited by 181 here
  4. 2024U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentationcited by 94 here
  5. 2024Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Modelcited by 106 here
  6. 2024SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentationcited by 77 here
  7. 2024VM-UNet: Vision Mamba UNet for Medical Image Segmentationcited by 70 here
  8. 2024VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image Segmentationcited by 21 here
  9. 2024UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentationcited by 14 here
15 more it builds on, not in this chain
  1. 2022Simplified State Space Layers for Sequence Modelingcited by 13 here
  2. 2024Swin-UMamba: Mamba-based UNet with ImageNet-based pretrainingcited by 41 here
  3. 2024Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentationcited by 40 here
  4. 2024Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentationcited by 10 here
  5. 2024MambaIR: A Simple Baseline for Image Restoration with State-Space Modelcited by 12 here
  6. 2024MedMamba: Vision Mamba for Medical Image Classificationcited by 19 here
  7. 2024LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentationcited by 18 here
  8. 2024MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathologycited by 15 here
  9. 2024VideoMamba: State Space Model for Efficient Video Understandingcited by 10 here
  10. 2024LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentationcited by 18 here
  11. 2024LocalMamba: Visual State Space Model with Windowed Selective Scancited by 18 here
  12. 2024EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mambacited by 10 here
  13. 2024H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentationcited by 13 here
  14. 2024PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognitioncited by 12 here
  15. 2024Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Dualitycited by 19 here

The 24 most cited of 222.

Browse

30 of 259, ranked 6–35

  1. 6VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image Segmentation202421
  2. 7MedMamba: Vision Mamba for Medical Image Classification202419
  3. 8LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation202418
  4. 9LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation202418
  5. 10MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology202415
  6. 11UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation202414
  7. 12H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation202413
  8. 13Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation202410
  9. 14Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation20247
  10. 15MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation20247
All 30
  1. 16HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation20247
  2. 17SliceMamba with Neural Architecture Search for Medical Image Segmentation20247
  3. 18A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration and Beyond20247
  4. 19P-Mamba: Marrying Perona Malik Diffusion with Mamba for Efficient Pediatric Echocardiographic Left Ventricular Segmentation20246
  5. 20I2I-Mamba: Multi-modal medical image synthesis via selective state space modeling20246
  6. 21Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images20246
  7. 22Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba20245
  8. 23Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis20245
  9. 24Deform-Mamba Network for MRI Super-Resolution20245
  10. 25MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation20245
  11. 26MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration20244
  12. 27Vivim: a Video Vision Mamba for Medical Video Segmentation20244
  13. 28ViM-UNet: Vision Mamba for Biomedical Segmentation20244
  14. 29Vim4Path: Self-Supervised Vision Mamba for Histopathology Images20244
  15. 30MMR-Mamba: Multi-Modal MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion20244
  16. 31Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model20244
  17. 32EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation20244
  18. 33Structured State Space Models for Multiple Instance Learning in Digital Pathology20234
  19. 34Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation20253
  20. 35FD-Vision Mamba for Endoscopic Exposure Correction20243