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Bibliographic Details
Main Authors:	Yang, Sicheng, Xing, Zhaohu, Zhu, Lei
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2601.10124
Tags:	Add Tag No Tags, Be the first to tag this record!

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
by: Xing, Zhaohu, et al.
Published: (2024)

HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation
by: Xing, Zhaohu, et al.
Published: (2023)

K-Stain: Keypoint-Driven Correspondence for H&E-to-IHC Virtual Staining
by: Yang, Sicheng, et al.
Published: (2025)

Cross-conditioned Diffusion Model for Medical Image to Image Translation
by: Xing, Zhaohu, et al.
Published: (2024)

HybridMamba: A Dual-domain Mamba for 3D Medical Image Segmentation
by: Wu, Weitong, et al.
Published: (2025)

SRA-Seg: Synthetic to Real Alignment for Semi-Supervised Medical Image Segmentation
by: Aranya, OFM Riaz Rahman, et al.
Published: (2026)

Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image Segmentation
by: Shen, Sicheng, et al.
Published: (2024)

Vivim: a Video Vision Mamba for Medical Video Segmentation
by: Yang, Yijun, et al.
Published: (2024)

TokenSeg: Efficient 3D Medical Image Segmentation via Hierarchical Visual Token Compression
by: Zeng, Sen, et al.
Published: (2026)

VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers
by: Wang, Yating, et al.
Published: (2025)

SegMoTE: Token-Level Mixture of Experts for Medical Image Segmentation
by: Lu, Yujie, et al.
Published: (2026)

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation
by: Zhu, Lei, et al.
Published: (2025)

Toward Real-World High-Precision Image Matting and Segmentation
by: Zhou, Haipeng, et al.
Published: (2026)

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation
by: Wang, Mengzhu, et al.
Published: (2025)

PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization
by: Li, Honglin, et al.
Published: (2025)

Adaptive Mix for Semi-Supervised Medical Image Segmentation
by: Shen, Zhiqiang, et al.
Published: (2024)

CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation
by: Zhao, Bin, et al.
Published: (2024)

Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists
by: Wang, You, et al.
Published: (2025)

Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation
by: Ma, Qinghe, et al.
Published: (2025)

SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation
by: Zhu, Hongjie, et al.
Published: (2025)

StomataSeg: Semi-Supervised Instance Segmentation for Sorghum Stomatal Components
by: Huang, Zhongtian, et al.
Published: (2026)

SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues
by: Xie, Yuxin, et al.
Published: (2024)

P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation
by: Yao, Zhenyan, et al.
Published: (2025)

VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization
by: Zhou, Yixuan, et al.
Published: (2024)

SegMix:Shuffle-based Feedback Learning for Semantic Segmentation of Pathology Images
by: Yan, Zhiling, et al.
Published: (2026)

Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning
by: Lu, Yingling, et al.
Published: (2024)

VQ-DeepISC: Vector Quantized-Enabled Digital Semantic Communication with Channel Adaptive Image Transmission
by: Chen, Jianqiao, et al.
Published: (2025)

Phi-SegNet: Phase-Integrated Supervision for Medical Image Segmentation
by: Ali, Shams Nafisa, et al.
Published: (2026)

FL-MedSegBench: A Comprehensive Benchmark for Federated Learning on Medical Image Segmentation
by: Zhu, Meilu, et al.
Published: (2026)

Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
by: Abhishek, Kumar, et al.
Published: (2026)

Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
by: Chi, Hanyang, et al.
Published: (2024)

Semi-Supervised Medical Image Segmentation via Dual Networks
by: Lu, Yunyao, et al.
Published: (2025)

Semantic Class Distribution Learning for Debiasing Semi-Supervised Medical Image Segmentation
by: Su, Yingxue, et al.
Published: (2026)

ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba
by: Deng, Juncan, et al.
Published: (2025)

VQ-Map: Bird's-Eye-View Map Layout Estimation in Tokenized Discrete Space via Vector Quantization
by: Zhang, Yiwei, et al.
Published: (2024)

Diverse Teaching and Label Propagation for Generic Semi-Supervised Medical Image Segmentation
by: Li, Wei, et al.
Published: (2025)

Transformer-VQ: Linear-Time Transformers via Vector Quantization
by: Lingle, Lucas D.
Published: (2023)

SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency Regularization
by: Zhang, Yichi, et al.
Published: (2023)

SemiGDA: Generative Dual-distribution Alignment for Semi-Supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2026)

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