mlsanityData to 7 Oct 2026

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

arXiv 2401.13560 ↗First posted 24 Jan 2024cs.CVcited by 266

On the map: State-space sequence models (S4, Mamba) → Mamba for medical image analysis

Abstract (arXiv)

The Transformer architecture has shown a remarkable ability in modeling global relationships. However, it poses a significant computational challenge when processing high-dimensional medical images. This hinders its development and widespread adoption in this task. Mamba, as a State Space Model (SSM), recently emerged as a notable manner for long-range dependencies in sequential modeling, excelling in natural language processing filed with its remarkable memory efficiency and computational speed. Inspired by its success, we introduce SegMamba, a novel 3D medical image Segmentation Mamba model, designed to effectively capture long-range dependencies within whole volume features at every scale. Our SegMamba, in contrast to Transformer-based methods, excels in whole volume feature modeling from a state space model standpoint, maintaining superior processing speed, even with volume features at a resolution of 64× 64× 64. Comprehensive experiments on the BraTS2023 dataset demonstrate the effectiveness and efficiency of our SegMamba. The code for SegMamba is available at: https://github.com/ge-xing/SegMamba

Key facts. Cited by 266 papers in the map (data through 7 Oct 2026). Placed in Mamba for medical image analysis, one of 10 directions in State-space sequence models (S4, Mamba). Builds on 22 of its 33 references that are in the map. First posted on arXiv 24 Jan 2024.

Builds on

22 of 33 references.

Closest ancestors · 1

Same direction, newest first

  1. 2024U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation9 Jan

Other references · 21

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  4. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
  5. 2023Mamba: Linear-Time Sequence Modeling with Selective State Spacescited by 4,616
  6. 2024Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Modelcited by 1,051
  7. 2024VMamba: Visual State Space Modelcited by 955
  8. 2021UNETR: Transformers for 3D Medical Image Segmentationcited by 954
  9. 2022Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Imagescited by 823
  10. 2021Pay Attention to MLPscited by 367
  11. 20183D MRI brain tumor segmentation using autoencoder regularizationcited by 324
  12. 2021TransBTS: Multimodal Brain Tumor Segmentation Using Transformercited by 265
9 more
  1. 2023MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentationcited by 161
  2. 2020Better Aggregation in Test-Time Augmentationcited by 121
  3. 20223D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentationcited by 94
  4. 2023The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)cited by 49
  5. 2023Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentationcited by 41
  6. 2022NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentationcited by 33
  7. 2022LKD-Net: Large Kernel Convolution Network for Single Image Dehazingcited by 13
  8. 2023HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentationcited by 12
  9. 2023Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challengecited by 12

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 112; 2025: 95; 2026: 59.

266 papers.

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  1. 2024MambaIR: A Simple Baseline for Image Restoration with State-Space Modelcited by 349
  2. 2024VM-UNet: Vision Mamba UNet for Medical Image Segmentationcited by 286
  3. 2024LocalMamba: Visual State Space Model with Windowed Selective Scancited by 235
  4. 2024nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentationcited by 235
  5. 2024Swin-UMamba: Mamba-based UNet with ImageNet-based pretrainingcited by 179
  6. 2024U-KAN Makes Strong Backbone for Medical Image Segmentation and Generationcited by 176
  7. 2024PointMamba: A Simple State Space Model for Point Cloud Analysiscited by 166
  8. 2024EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mambacited by 146
  9. 2024Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentationcited by 133
  10. 2024VL-Mamba: Exploring State Space Models for Multimodal Learningcited by 93
  11. 2024The Hidden Attention of Mamba Modelscited by 88
  12. 2024Graph Mamba: Towards Learning on Graphs with State Space Modelscited by 84
38 more
  1. 2024ZigMa: A DiT-style Zigzag Mamba Diffusion Modelcited by 84
  2. 2024Pan-Mamba: Effective pan-sharpening with State Space Modelcited by 73
  3. 2024Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentationcited by 71
  4. 2024Point Cloud Mamba: Point Cloud Learning via State Space Modelcited by 66
  5. 2024Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challengescited by 63
  6. 2024MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detectioncited by 59
  7. 2024State Space Model for New-Generation Network Alternative to Transformers: A Surveycited by 59
  8. 2024LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentationcited by 54
  9. 2024Vision Mamba: A Comprehensive Survey and Taxonomycited by 53
  10. 2024A Survey on Visual Mambacited by 50
  11. 2024CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detectioncited by 48
  12. 2024nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Modelcited by 45
  13. 2024ReMamber: Referring Image Segmentation with Mamba Twistercited by 38
  14. 2024SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Modelcited by 36
  15. 2024Audio Mamba: Bidirectional State Space Model for Audio Representation Learningcited by 36
  16. 2024VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecastingcited by 35
  17. 2024LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentationcited by 34
  18. 2024MambaLRP: Explaining Selective State Space Sequence Modelscited by 31
  19. 2024Interactive Medical Image Segmentation: A Benchmark Dataset and Baselinecited by 30
  20. 2024Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentationcited by 29
  21. 2024I2I-Mamba: Multi-modal medical image synthesis via selective state space modelingcited by 26
  22. 2024Cross-conditioned Diffusion Model for Medical Image to Image Translationcited by 26
  23. 2024SpikeMba: Multi-Modal Spiking Saliency Mamba for Temporal Video Groundingcited by 25
  24. 2024Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Studycited by 24
  25. 2026Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentationcited by 23
  26. 2024MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoderscited by 22
  27. 2024Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Modelscited by 22
  28. 2025Primus: Enforcing Attention Usage for 3D Medical Image Segmentationcited by 22
  29. 2024Mamba-FETrack: Frame-Event Tracking via State Space Modelcited by 21
  30. 2024Autoregressive Pretraining with Mamba in Visioncited by 21
  31. 2024Hybrid Mamba for Few-Shot Segmentationcited by 21
  32. 2024Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentationcited by 20
  33. 2024Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Modelcited by 20
  34. 2025SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3cited by 20
  35. 2024Mamba in Vision: A Comprehensive Survey of Techniques and Applicationscited by 18
  36. 2024QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Modelcited by 18
  37. 2025DefMamba: Deformable Visual State Space Modelcited by 18
  38. 2024T-Mamba: A unified framework with Long-Range Dependency in dual-domain for 2D & 3D Tooth Segmentationcited by 17

50 most cited of 266 All 266 (JSON)

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  1. 2026SegMaFormer: A Hybrid State-Space and Transformer Model for Efficient Segmentation
  2. 2025SegResMamba: An Efficient Architecture for 3D Medical Image Segmentation
  3. 2024Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
  4. 2024MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation
  5. 2024EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation
  6. 2024MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image Segmentation
  7. 2025MambaVesselNet++: A Hybrid CNN-Mamba Architecture for Medical Image Segmentation
  8. 2024Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation