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20232026
most citedSciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis

14 citations · 29 across the 19 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

eess.IV2025

EndoControlMag: Robust Endoscopic Vascular Motion Magnification with Periodic Reference Resetting and Hierarchical Tissue-aware Dual-Mask Control

An Wang, Rulin Zhou, Mengya Xu +7

Visualizing subtle vascular motions in endoscopic surgery is crucial for surgical precision and decision-making, yet remains challenging due to the complex and dynamic nature of su…

q-bio.QM2025

VIGIL: Vision-Language Guided Multiple Instance Learning Framework for Ulcerative Colitis Histological Healing Prediction

Zhengxuan Qiu, Bo Peng, Xiaoying Tang +2

Objective: Ulcerative colitis (UC), characterized by chronic inflammation with alternating remission-relapse cycles, requires precise histological healing (HH) evaluation to improv…

eess.IV2025★ 1 cited

Uni-AIMS: AI-Powered Microscopy Image Analysis

Yanhui Hong, Nan Wang, Zhiyi Xia +11

This paper presents a systematic solution for the intelligent recognition and automatic analysis of microscopy images. We developed a data engine that generates high-quality annota…

eess.IV2025

Dual Attention Driven Lumbar Magnetic Resonance Image Feature Enhancement and Automatic Diagnosis of Herniation

Lingrui Zhang, Liang Guo, Xiao An +4

Lumbar disc herniation (LDH) is a common musculoskeletal disease that requires magnetic resonance imaging (MRI) for effective clinical management. However, the interpretation of MR…

cs.CV2025

Endo-TTAP: Robust Endoscopic Tissue Tracking via Multi-Facet Guided Attention and Hybrid Flow-point Supervision

Rulin Zhou, Wenlong He, An Wang +4

Accurate tissue point tracking in endoscopic videos is critical for robotic-assisted surgical navigation and scene understanding, but remains challenging due to complex deformation…

cs.LG2025★ 3 cited

Intelligent System for Automated Molecular Patent Infringement Assessment

Yaorui Shi, Sihang Li, Taiyan Zhang +12

Automated drug discovery offers significant potential for accelerating the development of novel therapeutics by substituting labor-intensive human workflows with machine-driven pro…