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20232026
most citedBeyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models

3 citations · 6 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Prior-Anchored Debiasing for Long-Tailed Multi-Organ Pathology Report Generation

Feng Yang, Jie Liu, Yubo Pang +5

Automated pathology report generation from Whole Slide Images (WSIs) has attracted increasing attention in digital pathology. However, existing methods are predominantly developed…

cs.CV2026

Benchmarking Egocentric Clinical Intent Understanding Capability for Medical Multimodal Large Language Models

Shaonan Liu, Guo Yu, Xiaoling Luo +4

Medical Multimodal Large Language Models (Med-MLLMs) require egocentric clinical intent understanding for real-world deployment, yet existing benchmarks fail to evaluate this criti…

cs.CV2024

DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching

Xiaofei Huang, Wenting Chen, Jie Liu +3

Medical report generation is crucial for clinical diagnosis and patient management, summarizing diagnoses and recommendations based on medical imaging. However, existing work often…

cs.CV2024

GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph

Shaonan Liu, Wenting Chen, Jie Liu +2

Gaze estimation is pivotal in human scene comprehension tasks, particularly in medical diagnostic analysis. Eye-tracking technology facilitates the recording of physicians' ocular…

cs.CV2024

Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution

Wenting Chen, Jie Liu, Tommy W. S. Chow +1

Pathology image are essential for accurately interpreting lesion cells in cytopathology screening, but acquiring high-resolution digital slides requires specialized equipment and l…