Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Albert Gu*, Tri Dao*
Paper: https://arxiv.org/abs/2312.00752
| Date | Title | The First and Last Authors | Code | Reference |
|---|---|---|---|---|
| 2024-07-11 | SliceMamba for Medical Image Segmentation | C. Fan and X. Jia | None | Arxiv |
| 2024-07-01 | xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba Counterpart | T. Chen and Z. Li | Code | Arxiv |
| 2024-06-10 | MHS-VM: Multi-Head Scanning in Parallel Subspaces for Vision Mamba | Z. Ji | Code | Arxiv |
| 2024-06-09 | Convolution and Attention-Free Mamba-based Cardiac Image Segmentation | A. Khan and G. Slabaugh | None | Arxiv |
| 2024-06-05 | Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis | M. Heidari and I. Hacihaliloglu | Code | Arxiv |
| 2024-05-25 | UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation | T. Y. Tsai and X. Wang | Code | Arxiv |
| 2024-05-24 | MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion Segmentation | C. Yuan and S. S. Agaian | Code | Arxiv |
| 2024-05-08 | HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation | J. Xu | None | Arxiv |
| 2024-05-05 | AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentation | V. Nguyen and T. Tran | Code | Arxiv |
| 2024-04-26 | Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment | K. S. Sanjid and M. M. Uddin | None | Arxiv |
| 2024-04-15 | nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation | F. Isensee and P. F. Jaeger | None | Arxiv |
| 2024-04-11 | ViM-UNet: Vision Mamba for Biomedical Segmentation | A. Archit and C. Pape | Code | Arxiv |
| 2024-04-01 | T-Mamba: Frequency-Enhanced Gated Long-Range Dependency for Tooth 3D CBCT Segmentation | J. Hao and K. F. Hung | Code | Arxiv |
| 2024-03-29 | UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation | R. Wu and Q. Chang | Code | Arxiv |
| 2024-03-26 | Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation | H. Tang and K. Wu | None | Arxiv |
| 2024-03-26 | Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion | K. S. Sanjid and M. M. Uddin | None | Arxiv |
| 2024-03-20 | ProMamba: Prompt-Mamba for polyp segmentation | J.Xie and G. Luo | None | Arxiv |
| 2024-03-20 | H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation | R. Wu and Q. Chang | Code | Arxiv |
| 2024-03-14 | VM-UNetV2: Rethinking Vision Mamba UNet for Medical Image Segmentation | M. Zhang and X. Tao | Code | Arxiv |
| 2024-03-12 | Large Window-based Mamba UNet for Medical Image Segmentation: Beyond Convolution and Self-attention | J. Wang and J. Wu | Code | Arxiv |
| 2024-03-08 | LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation | W. Liao and L. Ma | Code | Arxiv |
| 2024-02-28 | MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation | J. Huang and G. Yang | Code | Arxiv |
| 2024-02-16 | Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation | Z. Wang and C. Ma | Code | Arxiv |
| 2024-02-13 | P-Mamba: Marrying Perona Malik Diffusion with Mamba for Efficient Pediatric Echocardiographic Left Ventricular Segmentation | Z. Ye and L. Zhang | None | Arxiv |
| 2024-02-11 | Semi-Mamba-UNet: Pixel-Level Contrastive Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation | Z. Wang and C. Ma | Code | Arxiv |
| 2024-02-07 | Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation | Z. Wang and L. Li | Code | Arxiv |
| 2024-02-05 | nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model | H. Gong and H. Li | Code | Arxiv |
| 2024-02-05 | Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining | J. Liu and S. Wang | Code | Arxiv |
| 2024-02-04 | VM-UNet: Vision Mamba UNet for Medical Image Segmentation | J. Ruan and S. Xiang | Code | Arxiv |
| 2024-01-24 | SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation | Z. Xing and L. Zhu | Code | Arxiv |
| 2024-01-09 | U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation | J. Ma and B. Wang | Code | Arxiv |
| Date | Title | The First and Last Authors | Code | Reference |
|---|---|---|---|---|
| 2024-07-11 | SR-Mamba: Effective Surgical Phase Recognition with State Space Model | R. Cao and Y. Liu | Code | Arxiv |
| 2024-07-08 | Self-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution | Z. Ji and S. Ruan | None | Arxiv |
| 2024-07-08 | Deform-Mamba Network for MRI Super-Resolution | Z. Ji and S. Ruan | None | Arxiv |
| 2024-07-04 | Vision Mamba for Classification of Breast Ultrasound Images | A. N.-Sarvi and H. Rivaz | None | Arxiv |
| 2024-06-27 | MMR-Mamba: Multi-Contrast MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion | J. Zou and J. Qin | None | Arxiv |
| 2024-06-22 | Soft Masked Mamba Diffusion Model for CT to MRI Conversion | Z. Wang and Z. Zhang | Code | Arxiv |
| 2024-06-14 | ECGMamba: Towards Efficient ECG Classification with BiSSM | Y. Qiang and J. Dou | None | Arxiv |
| 2024-06-12 | On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models | H. S. Malik and F. S. Khan | Code | Arxiv |
| 2024-06-09 | Vision Mamba: Cutting-Edge Classification of Alzheimer's Disease with 3D MRI Scans | Muthukumar K A and P. Ranjan | None | Arxiv |
| 2024-06-02 | MGI: Multimodal Contrastive pre-training of Genomic and Medical Imaging | J. Zhou and Y. Jin | Code | Arxiv |
| 2024-05-28 | Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba | Z. Yang and P. Yan | Code | Arxiv |
| 2024-05-27 | Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba | J. Huang and G. Yang | None | Arxiv |
| 2024-05-23 | EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records | A. Fallahpour and A. Krishnan | Code | Arxiv |
| 2024-05-22 | I2I-Mamba: Multi-modal medical image synthesis via selective state space modeling | O. F. Atli and T. Çukur | Code | Arxiv |
| 2024-05-09 | VM-DDPM: Vision Mamba Diffusion for Medical Image Synthesis | Z. Ju and W. Zhou | None | Arxiv |
| 2024-04-15 | FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba | X. Xie and Z. Yu | Code | Arxiv |
| 2024-04-12 | MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion | Z. Li and F. Yu | None | Arxiv |
| 2024-04-11 | Simba: Mamba augmented U-ShiftGCN for Skeletal Action Recognition in Videos | S. Chaudhuri and S. Bhattacharya | None | Arxiv |
| 2024-04-07 | VMambaMorph: a Multi-Modality Deformable Image Registration Framework based on Visual State Space Model with Cross-Scan Module | Z. Wang and T. Guo | Code | Arxiv |
| 2024-03-25 | CMViM: Contrastive Masked Vim Autoencoder for 3D Multi-modal Representation Learning for AD classification | G. Yang and S. Wang | None | Arxiv |
| 2024-03-13 | MD-Dose: A Diffusion Model based on the Mamba for Radiotherapy Dose Prediction | L. Fu and Y. Yao | Code | Arxiv |
| 2024-03-11 | MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology | S. Yang and H. Chen | Code | Arxiv |
| 2024-03-08 | MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models | Z. Fang and Y. Zhang | None | Arxiv |
| 2024-03-06 | MedMamba: Vision Mamba for Medical Image Classification | Y. Yue and Z. Li | Code | Arxiv |
| 2024-02-28 | MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation | J. Huang and G. Yang | Code | Arxiv |
| 2024-01-25 | Vivim: a Video Vision Mamba for Medical Video Object Segmentation | Y. Yang and L. Zhu | Code | Arxiv |
| 2024-01-25 | MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration | T. Guo and X. Bai | Code | Arxiv |
| 2023-11-03 | APRICOT-Mamba: Acuity Prediction in Intensive Care Unit (ICU): Development and Validation of a Stability, Transitions, and Life-Sustaining Therapies Prediction Model | M. Contreras and P. Rashidi | None | Arxiv |