Cover Image

Domain-Expert-Guided Hybrid Mixture-of-Experts for Medical AI: Integrating Data-Driven Learning with Clinical Priors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gu, Jinchen, Zhao, Nan, Qiu, Lei, Zhang, Lu
Format:	Preprint
Published:	2026
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

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

Stereo-Talker: Audio-driven 3D Human Synthesis with Prior-Guided Mixture-of-Experts
by: Deng, Xiang, et al.
Published: (2024)

FPED: A Functional-Network Prior-Guided Mixture-of-Experts Framework for Interpretable Brain Decoding
by: Ren, Yudan, et al.
Published: (2026)

Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks
by: Berisha, Uranik, et al.
Published: (2025)

CorrMoE: Mixture of Experts with De-stylization Learning for Cross-Scene and Cross-Domain Correspondence Pruning
by: Xia, Peiwen, et al.
Published: (2025)

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

TimeExpert: An Expert-Guided Video LLM for Video Temporal Grounding
by: Yang, Zuhao, et al.
Published: (2025)

Teacher-Guided Routing for Sparse Vision Mixture-of-Experts
by: Kada, Masahiro, et al.
Published: (2026)

Guiding the Experts: Semantic Priors for Efficient and Focused MoE Routing
by: Min, Chengxi, et al.
Published: (2025)

Metis-HOME: Hybrid Optimized Mixture-of-Experts for Multimodal Reasoning
by: Lan, Xiaohan, et al.
Published: (2025)

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

MoME: Mixture of Visual Language Medical Experts for Medical Imaging Segmentation
by: Rezvani, Arghavan, et al.
Published: (2025)

Neural Experts: Mixture of Experts for Implicit Neural Representations
by: Ben-Shabat, Yizhak, et al.
Published: (2024)

Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
by: Yu, Jiazuo, et al.
Published: (2024)

Controllable-LPMoE: Adapting to Challenging Object Segmentation via Dynamic Local Priors from Mixture-of-Experts
by: Sun, Yanguang, et al.
Published: (2025)

Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning
by: Zha, Yaohua, et al.
Published: (2024)

Mixture of Group Experts for Learning Invariant Representations
by: Kang, Lei, et al.
Published: (2025)

PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration
by: Huang, Xiaoshui, et al.
Published: (2025)

PhyG-MoE: A Physics-Guided Mixture-of-Experts Framework for Energy-Efficient GNSS Interference Recognition
by: Zeng, Zhihan, et al.
Published: (2026)

MoEE: Mixture of Emotion Experts for Audio-Driven Portrait Animation
by: Liu, Huaize, et al.
Published: (2025)

Sparse-Dense Mixture of Experts Adapter for Multi-Modal Tracking
by: Zhu, Yabin, et al.
Published: (2026)

EMoE: Eigenbasis-Guided Routing for Mixture-of-Experts
by: Cheng, Anzhe, et al.
Published: (2026)

History-Augmented Contrastive Learning With Soft Mixture of Experts for Blind Super-Resolution of Planetary Remote Sensing Images
by: Zhao, Hui-Jia, et al.
Published: (2025)

MMedExpert-R1: Strengthening Multimodal Medical Reasoning via Domain-Specific Adaptation and Clinical Guideline Reinforcement
by: Ding, Meidan, et al.
Published: (2026)

Frequency-Adaptive Pan-Sharpening with Mixture of Experts
by: He, Xuanhua, et al.
Published: (2024)

LadderMoE: Ladder-Side Mixture of Experts Adapters for Bronze Inscription Recognition
by: Zhou, Rixin, et al.
Published: (2025)

Mixture of Low-rank Experts for Transferable AI-Generated Image Detection
by: Liu, Zihan, et al.
Published: (2024)

A Quality-Guided Mixture of Score-Fusion Experts Framework for Human Recognition
by: Zhu, Jie, et al.
Published: (2025)

YOLO Meets Mixture-of-Experts: Adaptive Expert Routing for Robust Object Detection
by: Meiraz, Ori, et al.
Published: (2025)

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

MACE: Mixture-of-Experts Accelerated Coordinate Encoding for Large-Scale Scene Localization and Rendering
by: Liu, Mingkai, et al.
Published: (2025)

Multi-Domain Learning with Global Expert Mapping
by: Shamsolmoali, Pourya, et al.
Published: (2026)

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

RadioKMoE: Knowledge-Guided Radiomap Estimation with Kolmogorov-Arnold Networks and Mixture-of-Experts
by: Guo, Fupei, et al.
Published: (2025)

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

Stable Routing for Mixture-of-Experts in Class-Incremental Learning
by: Guo, Zirui, et al.
Published: (2026)

EVA: Mixture-of-Experts Semantic Variant Alignment for Compositional Zero-Shot Learning
by: Zhang, Xiao, et al.
Published: (2025)

Towards Vision Mixture of Experts for Wildlife Monitoring on the Edge
by: Mensah, Emmanuel Azuh, et al.
Published: (2024)

MambaFormer: Token-Level Guided Routing Mixture-of-Experts for Accurate and Efficient Clinical Assistance
by: Khan, Hamad, et al.
Published: (2026)

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