Total: 41 papers | Displaying: 41 | This batch: 4 new | Updated: 2026-10-08
| # | Title | Score |
|---|---|---|
| 1 |
A lightweight CNN-mamba fusion model with cross-scale fusion for breast cancer image segmentation NEW
DeepSeek Judge
Segmentation 8
Mamba/SSM 8
Scan Design 6
Training Memory 6
Fusion 7
Empirical Trade-off 5
Citation Value 7
Reproducibility 5
Judge Final 6.5/10
Lightweight CNN-Mamba fusion with cross-scale fusion for breast segmentation; directly relevant to Mamba segmentation and fusion design.
|
0.742 |
| 2 |
MambaGLA-NPC: a 3D framework integrating CNN and state space models for robust multi-center nasopharyngeal carcinoma segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 8
SSL 0
Pretraining 0
Adaptive Fusion 4
Citation Value 7
Reproducibility 5
Judge Final 6.5/10
3D CNN-SSM framework for nasopharyngeal carcinoma segmentation; relevant Mamba-based medical segmentation work.
|
0.671 |
| 3 |
DT-MSMamba: dual-teacher consensus with multi-scale Mamba-CNN interaction for semi-supervised 3D medical image segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 8
SSL 6
Pretraining 0
Adaptive Fusion 5
Citation Value 8
Reproducibility 6
Judge Final 7.0/10
Dual-teacher semi-supervised 3D segmentation with multi-scale Mamba-CNN; highly relevant to Mamba, SSL, and segmentation.
|
0.701 |
| 4 |
SPAR-UNet: a structure-aware prior and ambiguity-guided refinement network for medical image segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 9
SSL 0
Pretraining 0
Adaptive Fusion 6
Citation Value 8
Reproducibility 6
Judge Final 7.5/10
Structure-aware prior and ambiguity-guided refinement with Mamba for segmentation; strongly relevant to BiUMamba method and related work.
|
0.835 |
| 5 |
Boundary-interior ratio: a spatially decomposed evaluation framework for CNN and mamba-based breast ultrasound segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 8
SSL 0
Pretraining 0
Adaptive Fusion 4
Citation Value 7
Reproducibility 5
Judge Final 6.5/10
Boundary-interior evaluation of CNN and Mamba breast ultrasound segmentation; relevant Mamba segmentation analysis.
|
0.766 |
| 6 |
HUM-Net: A Robust Semantic Segmentation Model for Medical Imaging Under Wireless Channel Degradations
DeepSeek Judge
Segmentation 9
Mamba/SSM 8
SSL 0
Pretraining 0
Adaptive Fusion 6
Citation Value 7
Reproducibility 5
Judge Final 6.5/10
Hybrid U-Net with Mamba VSS bottleneck and state-space attention gates; relevant to Mamba segmentation and adaptive fusion.
|
0.667 |
| 7 |
MGA-UNet: A Frequency-Aware Multi-Scale Mamba U-Net for Medical Image Segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 9
SSL 0
Pretraining 0
Adaptive Fusion 5
Citation Value 8
Reproducibility 6
Judge Final 7.5/10
Frequency-aware multi-scale Mamba U-Net for medical segmentation; strong Mamba segmentation relevance for BiUMamba.
|
0.745 |
| 8 |
Integrating state space models and attention mechanisms for brain tumor segmentation in MRI
DeepSeek Judge
Segmentation 9
Mamba/SSM 8
SSL 0
Pretraining 0
Adaptive Fusion 5
Citation Value 7
Reproducibility 5
Judge Final 6.5/10
Hybrid SSM and attention UNet for brain tumor MRI segmentation; directly relevant to Mamba-based medical segmentation.
|
0.681 |
| 9 |
WVM-UNet: A Wavelet–Vision Mamba Framework for Enhanced Medical Image Segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 9
SSL 0
Pretraining 0
Adaptive Fusion 0
Citation Value 8
Reproducibility 7
Judge Final 8.0/10
Wavelet-Vision Mamba UNet for medical segmentation, highly relevant to Mamba-based segmentation.
|
0.888 |
| 10 |
WVM-UNet: A Wavelet–Vision Mamba Framework for Enhanced Medical Image Segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 9
SSL 0
Pretraining 1
Adaptive Fusion 4
Citation Value 8
Reproducibility 6
Judge Final 7.5/10
Wavelet-Vision Mamba UNet for medical segmentation; highly relevant to Mamba-based segmentation and BiUMamba related work.
|
0.855 |
| 11 |
Multi-view Vision Mamba U-Shaped Network Framework for Medical Image Segmentation
DeepSeek Judge
Segmentation 8
Mamba/SSM 9
SSL 0
Pretraining 0
Adaptive Fusion 0
Citation Value 7
Reproducibility 5
Judge Final 7.0/10
Multi-view Vision Mamba U-Net for medical segmentation, relevant but less novel.
|
0.707 |
| 12 |
Leap-mamba: locality-enhanced feature calibration with pixel-region dual-stream vision mamba UNet for medical image segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 9
SSL 0
Pretraining 0
Adaptive Fusion 5
Citation Value 8
Reproducibility 7
Judge Final 8.0/10
Locality-enhanced dual-stream Vision Mamba UNet, relevant to Mamba segmentation and feature fusion.
|
0.782 |
| 13 |
Patch-MoE Mamba: A Patch-Ordered Mixture-of-Experts State Space Architecture for Medical Image Segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 9
SSL 0
Pretraining 0
Adaptive Fusion 0
Citation Value 8
Reproducibility 7
Judge Final 8.0/10
Patch-ordered MoE State Space architecture for medical segmentation, relevant to Mamba and segmentation.
|
0.768 |
| 14 |
MambaFuse: A Mixture of Experts-Driven State Space Model for Efficient Medical Image Segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 9
SSL 0
Pretraining 0
Adaptive Fusion 6
Citation Value 8
Reproducibility 7
Judge Final 8.0/10
Mixture of Experts-driven SSM for medical segmentation, relevant to Mamba and fusion.
|
0.767 |
| 15 |
MamNet-PT: A Mamba-enhanced hybrid architecture with selective state-space modeling for uncertainty-aware brain tumor segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 8
SSL 0
Pretraining 0
Adaptive Fusion 0
Citation Value 6
Reproducibility 4
Judge Final 6.2/10
MamNet-PT: Mamba-enhanced hybrid architecture for brain tumor segmentation, relevant to Mamba and segmentation.
|
0.652 |
| 16 |
Hierarchical vision mamba U-net for farmland semantic segmentation from remote sensing imagery
DeepSeek Judge
Segmentation 5
Mamba/SSM 8
SSL 0
Pretraining 0
Adaptive Fusion 0
Citation Value 4
Reproducibility 4
Judge Final 4.0/10
Hierarchical Vision Mamba for farmland segmentation, not medical, lower relevance.
|
0.685 |
| 17 |
Region-Wise Bézier Intensity Augmentation for Domain-Generalized Brain Tumor Segmentation with a Mamba U-Net
DeepSeek Judge
Segmentation 9
Mamba/SSM 8
SSL 0
Pretraining 0
Adaptive Fusion 0
Citation Value 7
Reproducibility 5
Judge Final 6.8/10
BA-SwinMamba: region-wise Bézier augmentation with Mamba U-Net for brain tumor segmentation, relevant to Mamba and segmentation.
|
0.788 |
| 18 |
Uncertainty-guided mamba network for efficient medical image segmentation with evidential deep learning
DeepSeek Judge
Segmentation 9
Mamba/SSM 8
SSL 0
Pretraining 0
Adaptive Fusion 0
Citation Value 7
Reproducibility 5
Judge Final 6.8/10
Uncertainty-guided Mamba network for medical image segmentation, highly relevant to Mamba and segmentation.
|
0.797 |
| 19 |
MSCF-Net: A Vision Mamba Network with Multi-Scale Context Bridging and Cross-Layer Adaptive Fusion for Medical Image Segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 9
SSL 0
Pretraining 0
Adaptive Fusion 9
Citation Value 9
Reproducibility 8
Judge Final 9.0/10
Vision Mamba with multi-scale context and cross-layer adaptive fusion, directly aligns with BiUMamba's adaptive fusion focus.
|
1.0 |
| 20 |
FS‐Mamba: Feature‐wise scanning Mamba UNet for automatic image segmentation in liver tumor radiotherapy
DeepSeek Judge
Segmentation 9
Mamba/SSM 8
SSL 0
Pretraining 0
Adaptive Fusion 0
Citation Value 6
Reproducibility 4
Judge Final 6.2/10
FS-Mamba: Feature-wise scanning Mamba UNet for liver tumor segmentation, relevant to Mamba and segmentation.
|
0.753 |
| 21 |
A Mamba-based channel attention-enhanced model for medical image segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 9
SSL 0
Pretraining 0
Adaptive Fusion 5
Citation Value 7
Reproducibility 6
Judge Final 7.5/10
Mamba-based channel attention for medical segmentation, relevant to Mamba and segmentation.
|
0.731 |
| 22 |
DDKVM-UNet: Dual-Domain KAN with vision mamba U-Net for medical image segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 9
SSL 0
Pretraining 0
Adaptive Fusion 0
Citation Value 7
Reproducibility 5
Judge Final 7.0/10
DDKVM-UNet: Dual-Domain KAN with vision mamba U-Net, highly relevant to Mamba and segmentation.
|
0.81 |
| 23 |
MambaClinix: hierarchical gated convolution and mamba-based u-net for enhanced 3D medical image segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 9
SSL 0
Pretraining 0
Adaptive Fusion 0
Citation Value 7
Reproducibility 5
Judge Final 7.0/10
MambaClinix: hierarchical gated convolution and mamba-based U-Net for 3D segmentation, highly relevant to Mamba and segmentation.
|
0.71 |
| 24 | Decoding the surgical scene: A scoping review of scene graphs in surgery | 0.663 |
| 25 | MambaSSM: efficient segmentation of brain structures in anisotropic 3D EM images via state-space models | 0.768 |
| 26 | Liver Tumor Segmentation via State Space Modeling and Multi-Scale Detail Enhancement | 0.691 |
| 27 | Mamba-enhanced codebook learning with anatomical constraints for liver and tumor segmentation in 3D CT volumes | 0.69 |
| 28 | 2D-CrossScan Mamba: Enhancing State Space Models with Spatially Consistent Multi-Path 2D Information Propagation | 0.66 |
| 29 | PCa-Mamba: Spatiotemporal state space models for prostate cancer detection in multi-parametric MRI | 0.766 |
| 30 | Clinically oriented automatic 2D liver tumor segmentation: LCMambaNet with a state-space model and liver cancer–specific attention | 0.7 |
| 31 |
EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba
DeepSeek Judge
Segmentation 6
Mamba/SSM 8
Scan Design 8
Training Memory 8
Fusion 3
Empirical Trade-off 5
Citation Value 8
Reproducibility 6
Judge Final 7.5/10
EfficientVMamba's atrous selective scan and lightweight design are directly relevant to scan design and memory-efficiency trade-offs.
|
0.829 |
| 32 |
LocalMamba: Visual State Space Model with Windowed Selective Scan NEW
DeepSeek Judge
Segmentation 4
Mamba/SSM 9
Scan Design 10
Training Memory 7
Fusion 5
Empirical Trade-off 6
Citation Value 9
Reproducibility 7
Judge Final 8.0/10
LocalMamba's windowed selective scan is highly relevant to channel-grouped bidirectional scanning design and efficiency trade-offs.
|
0.772 |
| 33 |
GroupMamba: Efficient Group-Based Visual State Space Model
DeepSeek Judge
Segmentation 4
Mamba/SSM 9
Scan Design 9
Training Memory 8
Fusion 5
Empirical Trade-off 5
Citation Value 9
Reproducibility 6
Judge Final 8.0/10
GroupMamba's channel-grouped visual state space design is the closest conceptual match to BiUMamba's channel-grouped bidirectional scanning.
|
0.984 |
| 34 |
LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation
DeepSeek Judge
Segmentation 8
Mamba/SSM 8
Scan Design 5
Training Memory 8
Fusion 3
Empirical Trade-off 4
Citation Value 8
Reproducibility 6
Judge Final 7.5/10
LightM-UNet directly targets lightweight Mamba segmentation; highly relevant to memory-efficiency motivation though scan design is not grouped.
|
0.742 |
| 35 |
MedMamba: Vision Mamba for Medical Image Classification
DeepSeek Judge
Segmentation 5
Mamba/SSM 9
Scan Design 5
Training Memory 4
Fusion 3
Empirical Trade-off 3
Citation Value 7
Reproducibility 6
Judge Final 6.0/10
MedMamba is a Vision Mamba medical classification work; useful for Mamba background but not segmentation or memory-tradeoff core.
|
0.668 |
| 36 |
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 9
Scan Design 5
Training Memory 4
Fusion 3
Empirical Trade-off 3
Citation Value 9
Reproducibility 6
Judge Final 8.0/10
Core Mamba-UNet baseline for medical segmentation; essential Related Work/Method comparison though scan design and memory analysis are limited.
|
0.897 |
| 37 |
VM-UNet: Vision Mamba UNet for Medical Image Segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 9
Scan Design 5
Training Memory 4
Fusion 3
Empirical Trade-off 3
Citation Value 9
Reproducibility 6
Judge Final 8.0/10
VM-UNet is a canonical Vision Mamba segmentation baseline; highly citable for BiUMamba Related Work and method positioning.
|
0.892 |
| 38 |
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 9
Scan Design 5
Training Memory 4
Fusion 3
Empirical Trade-off 3
Citation Value 9
Reproducibility 6
Judge Final 8.0/10
U-Mamba is a foundational biomedical Mamba segmentation work; must-cite baseline despite limited scan/memory analysis.
|
0.889 |
| 39 |
SegMamba: Long-Range Sequential Modeling Mamba for 3D Medical Image Segmentation
DeepSeek Judge
Segmentation 9
Mamba/SSM 9
Scan Design 6
Training Memory 5
Fusion 3
Empirical Trade-off 3
Citation Value 9
Reproducibility 6
Judge Final 8.0/10
SegMamba is a key 3D medical Mamba segmentation baseline; strong citation value for BiUMamba, though not focused on channel-grouped scanning.
|
0.888 |
| 40 |
Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining NEW
DeepSeek Judge
Segmentation 9
Mamba/SSM 10
Scan Design 7
Training Memory 6
Fusion 6
Empirical Trade-off 6
Citation Value 10
Reproducibility 7
Judge Final 8.5/10
Swin-UMamba is a core medical Mamba segmentation baseline directly relevant to BiUMamba's Related Work and Method comparisons.
|
0.817 |
| 41 |
VMamba: Visual State Space Model NEW
DeepSeek Judge
Segmentation 3
Mamba/SSM 10
Scan Design 9
Training Memory 7
Fusion 5
Empirical Trade-off 6
Citation Value 9
Reproducibility 7
Judge Final 7.5/10
VMamba is the foundational vision SSM with cross-scan design, essential for BiUMamba's scan-design and memory discussion.
|
0.736 |