Saved in:
| Main Authors: | Chu, Yuetan, Ma, Xinhua, Jin, Xinran, Luo, Gongning, Gao, Xin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.22143 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Revisiting Data Scaling in Medical Image Segmentation via Topology-Aware Augmentation
by: Chu, Yuetan, et al.
Published: (2025)
by: Chu, Yuetan, et al.
Published: (2025)
Improving Representation of High-frequency Components for Medical Visual Foundation Models
by: Chu, Yuetan, et al.
Published: (2024)
by: Chu, Yuetan, et al.
Published: (2024)
MedFILIP: Medical Fine-grained Language-Image Pre-training
by: Liang, Xinjie, et al.
Published: (2025)
by: Liang, Xinjie, et al.
Published: (2025)
MedKCO: Medical Vision-Language Pretraining via Knowledge-Driven Cognitive Orchestration
by: Zhang, Chenran, et al.
Published: (2026)
by: Zhang, Chenran, et al.
Published: (2026)
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences
by: Chu, Yuetan, et al.
Published: (2024)
by: Chu, Yuetan, et al.
Published: (2024)
Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples
by: Wang, Yeyuan, et al.
Published: (2024)
by: Wang, Yeyuan, et al.
Published: (2024)
VIVID-Med: LLM-Supervised Structured Pretraining for Deployable Medical ViTs
by: Wang, Xiyao, et al.
Published: (2026)
by: Wang, Xiyao, et al.
Published: (2026)
PCA-Enhanced Probabilistic U-Net for Effective Ambiguous Medical Image Segmentation
by: Li, Xiangyu, et al.
Published: (2026)
by: Li, Xiangyu, et al.
Published: (2026)
Fully Kolmogorov-Arnold Deep Model in Medical Image Segmentation
by: Qiu, Xingyu, et al.
Published: (2026)
by: Qiu, Xingyu, et al.
Published: (2026)
Med-URWKV†: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation
by: Zhou, Zhenhuan, et al.
Published: (2025)
by: Zhou, Zhenhuan, et al.
Published: (2025)
MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs
by: Liu, Jiyao, et al.
Published: (2025)
by: Liu, Jiyao, et al.
Published: (2025)
MultiMedVision: Multi-Modal Medical Vision Framework
by: Li, Frank, et al.
Published: (2026)
by: Li, Frank, et al.
Published: (2026)
MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models
by: Chang, Aofei, et al.
Published: (2025)
by: Chang, Aofei, et al.
Published: (2025)
TTL: Test-time Textual Learning for OOD Detection with Pretrained Vision-Language Models
by: Ye, Jinlun, et al.
Published: (2026)
by: Ye, Jinlun, et al.
Published: (2026)
Hulu-Med: A Transparent Generalist Model towards Holistic Medical Vision-Language Understanding
by: Jiang, Songtao, et al.
Published: (2025)
by: Jiang, Songtao, et al.
Published: (2025)
Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models
by: Jiang, Songtao, et al.
Published: (2024)
by: Jiang, Songtao, et al.
Published: (2024)
MedQ-UNI: Toward Unified Medical Image Quality Assessment and Restoration via Vision-Language Modeling
by: Liu, Jiyao, et al.
Published: (2026)
by: Liu, Jiyao, et al.
Published: (2026)
Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image Analysis
by: Xin, Yu, et al.
Published: (2025)
by: Xin, Yu, et al.
Published: (2025)
CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging
by: Kumar, Ashwin, et al.
Published: (2026)
by: Kumar, Ashwin, et al.
Published: (2026)
Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models
by: Lai, Yuxiang, et al.
Published: (2025)
by: Lai, Yuxiang, et al.
Published: (2025)
Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language Models
by: Hashmi, Anees Ur Rehman, et al.
Published: (2024)
by: Hashmi, Anees Ur Rehman, et al.
Published: (2024)
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding
by: Chopra, Shivang, et al.
Published: (2025)
by: Chopra, Shivang, et al.
Published: (2025)
Multi-Aspect Knowledge-Enhanced Medical Vision-Language Pretraining with Multi-Agent Data Generation
by: Li, Xieji, et al.
Published: (2025)
by: Li, Xieji, et al.
Published: (2025)
InfoCLIP: Bridging Vision-Language Pretraining and Open-Vocabulary Semantic Segmentation via Information-Theoretic Alignment Transfer
by: Yuan, Muyao, et al.
Published: (2025)
by: Yuan, Muyao, et al.
Published: (2025)
Med-K2N: Flexible K-to-N Modality Translation for Medical Image Synthesis
by: Yuan, Feng, et al.
Published: (2025)
by: Yuan, Feng, et al.
Published: (2025)
Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection
by: Lai, Runhe, et al.
Published: (2025)
by: Lai, Runhe, et al.
Published: (2025)
Distribution-Based Masked Medical Vision-Language Model Using Structured Reports
by: Gowda, Shreyank N, et al.
Published: (2025)
by: Gowda, Shreyank N, et al.
Published: (2025)
MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models
by: Royer, Corentin, et al.
Published: (2024)
by: Royer, Corentin, et al.
Published: (2024)
Separators in Enhancing Autoregressive Pretraining for Vision Mamba
by: Liu, Hanpeng, et al.
Published: (2026)
by: Liu, Hanpeng, et al.
Published: (2026)
MedGround: Bridging the Evidence Gap in Medical Vision-Language Models with Verified Grounding Data
by: Zhang, Mengmeng, et al.
Published: (2026)
by: Zhang, Mengmeng, et al.
Published: (2026)
Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation
by: Li, Fanding, et al.
Published: (2025)
by: Li, Fanding, et al.
Published: (2025)
PSF-Med: Measuring and Explaining Paraphrase Sensitivity in Medical Vision Language Models
by: Sadanandan, Binesh, et al.
Published: (2026)
by: Sadanandan, Binesh, et al.
Published: (2026)
VSF-Med:A Vulnerability Scoring Framework for Medical Vision-Language Models
by: Sadanandan, Binesh, et al.
Published: (2025)
by: Sadanandan, Binesh, et al.
Published: (2025)
SURE-Med: Systematic Uncertainty Reduction for Enhanced Reliability in Medical Report Generation
by: Gu, Yuhang, et al.
Published: (2025)
by: Gu, Yuhang, et al.
Published: (2025)
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder
by: Li, Lei, et al.
Published: (2024)
by: Li, Lei, et al.
Published: (2024)
MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting
by: Asiimwe, Arnold Caleb, et al.
Published: (2024)
by: Asiimwe, Arnold Caleb, et al.
Published: (2024)
Med-VCD: Mitigating Hallucination for Medical Large Vision Language Models through Visual Contrastive Decoding
by: Mahdavi, Zahra, et al.
Published: (2025)
by: Mahdavi, Zahra, et al.
Published: (2025)
Med-StepBench: A Hierarchical Reasoning Framework for Evaluating Hallucinations in Medical Vision-Language Models
by: Nguyen, Minh Khoi, et al.
Published: (2026)
by: Nguyen, Minh Khoi, et al.
Published: (2026)
Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision
by: He, Yuting, et al.
Published: (2025)
by: He, Yuting, et al.
Published: (2025)
QwenCLIP: Boosting Medical Vision-Language Pretraining via LLM Embeddings and Prompt tuning
by: Wei, Xiaoyang, et al.
Published: (2025)
by: Wei, Xiaoyang, et al.
Published: (2025)
Similar Items
-
Revisiting Data Scaling in Medical Image Segmentation via Topology-Aware Augmentation
by: Chu, Yuetan, et al.
Published: (2025) -
Improving Representation of High-frequency Components for Medical Visual Foundation Models
by: Chu, Yuetan, et al.
Published: (2024) -
MedFILIP: Medical Fine-grained Language-Image Pre-training
by: Liang, Xinjie, et al.
Published: (2025) -
MedKCO: Medical Vision-Language Pretraining via Knowledge-Driven Cognitive Orchestration
by: Zhang, Chenran, et al.
Published: (2026) -
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences
by: Chu, Yuetan, et al.
Published: (2024)