output
20192026
most citedSingle multimode fiber for in vivo light-field encoded nano-imaging

174 citations

12 papers

cs.LG2026

MLB: A Scenario-Driven Benchmark for Evaluating Large Language Models in Clinical Applications

Qing He, Dongsheng Bi, Jianrong Lu +20

The proliferation of Large Language Models (LLMs) presents transformative potential for healthcare, yet practical deployment is hindered by the absence of frameworks that assess re…

q-bio.NC2025

Repetitive TMS-based Identification of Methamphetamine-Dependent Individuals Using EEG Spectra

Ziyi Zeng, Yun-Hsuan Chen, Xurong Gao +8

The impact of repetitive transcranial magnetic stimulation (rTMS) on methamphetamine (METH) users' craving levels is often assessed using questionnaires. This study explores the fe…

stat.ML2025★ 2 cited

Modeling Parkinson's Disease Progression Using Longitudinal Voice Biomarkers: A Comparative Study of Statistical and Neural Mixed-Effects Models

Ran Tong, Lanruo Wang, Tong Wang +1

Longitudinal voice biomarkers provide a non-invasive source of information for monitoring Parkinson's disease progression, but their statistical analysis is difficult because repea…

eess.SP2025

Poststroke rehabilitative mechanisms in individualized fatigue level-controlled treadmill training -- a Rat Model Study

Yuchen Xu, Yulong Peng, Yuanfa Yao +6

Individualized training improved post-stroke motor function rehabilitation efficiency. However, the mechanisms of how individualized training facilitates recovery is not clear. Thi…

eess.IV2024★ 3 cited

Translating Electrocardiograms to Cardiac Magnetic Resonance Imaging Useful for Cardiac Assessment and Disease Screening: A Multi-Center Study

Zhengyao Ding, Ziyu Li, Yujian Hu +17

Cardiovascular diseases (CVDs) are the leading cause of global mortality, necessitating accessible and accurate diagnostic tools. While cardiac magnetic resonance imaging (CMR) pro…

cs.CV2023★ 20 cited

MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization

Ke Wang, Zanting Ye, Xiang Xie +3

Accurate segmentation of clustered microcalcifications in mammography is crucial for the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy, recent…