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20212026
most citedMulti-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images

1 citations · 1 across the 16 of their papers we have counts for

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cs.CV2026

SurgLQA: Scalable Long-Horizon Surgical Video Question Answering

Diandian Guo, Xikai Yang, Ruiyang Li +2

Surgical Video Question Answering (VideoQA) provides a promising paradigm for dynamic intraoperative interpretation, enabling real-time decision support and context-aware retrieval…

cs.CV2026

Med-Evo: Test-time Self-evolution for Medical Multimodal Large Language Models

Dunyuan Xu, Xikai Yang, Juzheng Miao +3

Medical Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities across diverse healthcare tasks. However, current post-training strategies, such as super…

cs.CV2025

Perceive and Calibrate: Analyzing and Enhancing Robustness of Medical Multi-Modal Large Language Models

Dunyuan XU, Xikai Yang, Yaoqian Li +3

Medical Multi-modal Large Language Models (MLLMs) have shown promising clinical performance. However, their sensitivity to real-world input perturbations, such as imaging artifacts…

cs.CV2025

From Learning to Unlearning: Biomedical Security Protection in Multimodal Large Language Models

Dunyuan Xu, Xikai Yang, Yaoqian Li +2

The security of biomedical Multimodal Large Language Models (MLLMs) has attracted increasing attention. However, training samples easily contain private information and incorrect k…

cs.CV2025

Medical Large Vision Language Models with Multi-Image Visual Ability

Xikai Yang, Juzheng Miao, Yuchen Yuan +4

Medical large vision-language models (LVLMs) have demonstrated promising performance across various single-image question answering (QA) benchmarks, yet their capability in process…

cs.CV2024

Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation

Kaixiang Yang, Wenqi Shan, Xudong Li +6

Multi-modal brain tumor segmentation typically involves four magnetic resonance imaging (MRI) modalities, while incomplete modalities significantly degrade performance. Existing so…

cs.CV2024★ 1 cited

Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images

Xikai Yang, Jian Wu, Xi Wang +3

Glaucoma is one of the major eye diseases that leads to progressive optic nerve fiber damage and irreversible blindness, afflicting millions of individuals. Glaucoma forecast is a…