Performance Evaluation of a Wearable Tattoo Electrode Suitable for High-Resolution Surface Electromyogram Recording. - Sourav Chandra; Jinghua Li; Babak Afsharipour; Andres F. Cardona; Nina L. Suresh; Limei Tian; Yujun Deng; Yishan Zhong; Zhaoqian Xie; Haixu Shen; Yonggang Huang; John A. Rogers; et al. (IEEE Trans. Biomed. Eng., 2021)

Attention-based Automated Chest CT Image Segmentation Method of COVID-19 Lung Infection. - Beom J. Lee; Sarkis T. Martirosyan; Zaid Khan 003; Han Y. Chiu; Zun Wang; Wenqi Shi; Felipe O. Giuste; Yishan Zhong; Jimin Sun; May Dongmei Wang (BIBE, 2022)

Interpretable Evaluation of Diabetic Retinopathy Grade Regarding Eye Color Fundus Images. - Yuheng Li; Jieh Sheng Hsu; Noaima Bari; Xu Qiu; Malvika Viswanathan; Wenqi Shi; Felipe O. Giuste; Yishan Zhong; Jimin Sun; May Dongmei Wang (BIBE, 2022)

Multi-Modal Deep Learning Models for Alzheimer's Disease Prediction Using MRI and EHR. - Sathvik S. Prabhu; John A. Berkebile; Neha Rajagopalan; Renjie Yao; Wenqi Shi; Felipe O. Giuste; Yishan Zhong; Jimin Sun; May D. Wang (BIBE, 2022)

Rare Heart Transplant Rejection Classification Using Diffusion-Based Synthetic Image Augmentation. - Han Bao; Jie Deng; Shihao Xing; Yishan Zhong; Wenqi Shi; Benoit Marteau; Bibhuti Das 002; Bahig M. Shehata; Shriprasad R. Deshpande; May D. Wang (BHI, 2023)

Uncertainty-Aware Ensemble Learning Models for Out-of-Distribution Medical Imaging Analysis. - Junior Ben Tamo; Micky C. Nnamdi; Lea Lesbats; Wenqi Shi; Yishan Zhong; May D. Wang (BIBM, 2023)

Explainable synthetic image generation to improve risk assessment of rare pediatric heart transplant rejection. - Felipe O. Giuste; Ryan Sequeira; Vikranth Keerthipati; Peter Lais; Ali Mirzazadeh; Arshawn Mohseni; Yuanda Zhu; Wenqi Shi; Benoit Marteau; Yishan Zhong; Li Tong 001; Bibhuti Das 002; et al. (J. Biomed. Informatics, 2023)

Improving A Large Healthcare System Research Data Warehouse Using OHDSI's Data Quality Dashboard. - Benoit Louis Marteau; Andrew Hornback; Yishan Zhong; Christian Lowson; Jason Woloff; Benjamin M. Smith; Coleman Hilton; May D. Wang (BHI, 2024)

Quantitative Explainability Study of Deformable Convolutional Neural Networks using Chest X-rays. - Vivek K. Chundru; M. Sait Kilinc; Anthony Lim; Micky C. Nnamdi; Yishan Zhong; Wenqi Shi; May D. Wang (BIBM, 2024)

Anatomically-constrained Near-eye Gaze Tracking and Movement Classification using Transformer. - Yishan Zhong; Jingyan Xu; Benoit Marteau; Shaun Q. Y. Tan; May D. Wang (ICHI, 2025)

MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale. - Ran Xu 002; Yuchen Zhuang; Yishan Zhong; Yue Yu 001; Xiangru Tang; Hang Wu; May D. Wang; Peifeng Ruan; Donghan Yang; Tao Wang 006; Guanghua Xiao; Carl Yang 001; et al. (CoRR, 2025)

MENDR: Manifold Explainable Neural Data Representations. - Matthew Chen; Micky C. Nnamdi; Justin Shao; Andrew Hornback; Hongyun Huang; J. Ben Tamo; Yishan Zhong; Benoit Marteau; Wenqi Shi; May Dongmei Wang (CoRR, 2025)