Cover Image

MoME: Mixture of Visual Language Medical Experts for Medical Imaging Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rezvani, Arghavan, Yan, Xiangyi, Wu, Anthony T., Han, Kun, Khosravi, Pooya, Xie, Xiaohui
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rotation Equivariant Convolutions in Deformable Registration of Brain MRI
by: Rezvani, Arghavan, et al.
Published: (2026)

XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning
by: Khosravi, Pooya, et al.
Published: (2025)

MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models
by: Shen, Leyang, et al.
Published: (2024)

MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition
by: Cappellazzo, Umberto, et al.
Published: (2025)

MoME: Mixture of Multimodal Experts for Cancer Survival Prediction
by: Xiong, Conghao, et al.
Published: (2024)

MoME: Estimating Psychological Traits from Gait with Multi-Stage Mixture of Movement Experts
by: Cǎtrunǎ, Andy, et al.
Published: (2025)

Medical Image Registration via Neural Fields
by: Sun, Shanlin, et al.
Published: (2022)

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

Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation
by: Płotka, Szymon, et al.
Published: (2025)

Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation
by: Chen, Qian, et al.
Published: (2024)

Patch-MoE Mamba: A Patch-Ordered Mixture-of-Experts State Space Architecture for Medical Image Segmentation
by: Adame, Diego, et al.
Published: (2026)

MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding
by: Chopra, Shivang, et al.
Published: (2025)

Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models
by: Jiang, Songtao, et al.
Published: (2024)

On-the-Fly Guidance Training for Medical Image Registration
by: Xin, Yuelin, et al.
Published: (2023)

Intelligent Communication Mixture-of-Experts Boosted-Medical Image Segmentation Foundation Model
by: Zhang, Xinwei, et al.
Published: (2025)

SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation
by: Wang, Guoan, et al.
Published: (2024)

Expert-Adaptive Medical Image Segmentation
by: Hu, Binyan, et al.
Published: (2024)

DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model
by: Zhang, Han, et al.
Published: (2025)

Prior-Guided Residual Diffusion: Calibrated and Efficient Medical Image Segmentation
by: Mao, Fuyou, et al.
Published: (2025)

ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation
by: Islam, Md Shazid, et al.
Published: (2023)

Deconver: A Deconvolutional Network for Medical Image Segmentation
by: Ashtari, Pooya, et al.
Published: (2025)

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
by: Wu, Junde, et al.
Published: (2023)

MoRE: 3D Visual Geometry Reconstruction Meets Mixture-of-Experts
by: Gao, Jingnan, et al.
Published: (2025)

MM-UNet: Meta Mamba UNet for Medical Image Segmentation
by: Xie, Bin, et al.
Published: (2025)

Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation
by: Xie, Bin, et al.
Published: (2025)

Language Guided Domain Generalized Medical Image Segmentation
by: Kunhimon, Shahina, et al.
Published: (2024)

RFMedSAM 2: Automatic Prompt Refinement for Enhanced Volumetric Medical Image Segmentation with SAM 2
by: Xie, Bin, et al.
Published: (2025)

Semi-MoE: Mixture-of-Experts meets Semi-Supervised Histopathology Segmentation
by: Vu, Nguyen Lan Vi, et al.
Published: (2025)

DeferredSeg: A Multi-Expert Deferral Framework for Trustworthy Medical Image Segmentation
by: Tian, Qiuyu, et al.
Published: (2026)

UHR-Net: An Uncertainty-Aware Hypergraph Refinement Network for Medical Image Segmentation
by: Cheng, Shuokun, et al.
Published: (2026)

Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations
by: Meng, Dongdong, et al.
Published: (2025)

Harmonized Feature Conditioning and Frequency-Prompt Personalization for Multi-Rater Medical Segmentation
by: Karimijafarbigloo, Sanaz, et al.
Published: (2026)

Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation
by: Yu, Bo, et al.
Published: (2025)

A Comprehensive Analysis of Mamba for 3D Volumetric Medical Image Segmentation
by: Wang, Chaohan, et al.
Published: (2025)

From Adaptation to Generalization: Adaptive Visual Prompting for Medical Image Segmentation
by: Çetinkaya, Evren, et al.
Published: (2026)

MaskMed: Decoupled Mask and Class Prediction for Medical Image Segmentation
by: Xie, Bin, et al.
Published: (2025)

MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation
by: Xie, Bin, et al.
Published: (2024)

SAM-aware Test-time Adaptation for Universal Medical Image Segmentation
by: Wu, Jianghao, et al.
Published: (2025)

Segment Anything in Medical Images
by: Ma, Jun, et al.
Published: (2023)

LIMIS: Towards Language-based Interactive Medical Image Segmentation
by: Heinemann, Lena, et al.
Published: (2024)