Identification of covid-19 severity and associated genetic biomarkers based on scrna-SEQ data. - Aekansh Goel; Zachary Mudge; Sarah Bi; Charles Brenner; Nicholas Huffman; Felipe O. Giuste; Benoit Marteau; Wenqi Shi; May D. Wang (BCB, 2022)

Development of Machine Learning Regression Model for COVID-19 Drug Target Prediction. - Alexandra Zamitalo; Qingtong Xie; Mayar Allam; Phinu Philip; Wenqi Shi; Felipe O. Giuste; Benoit Marteau; Mio Murakoso; May D. Wang (BIBM, 2022)

Accelerating Multi-site Health Informatics with Streamlined Data Infrastructure using OMOP-on-FHIR. - Benoit Marteau; Yuanda Zhu; Felipe O. Giuste; Wenqi Shi; Ashley M. Carpenter; Coleman Hilton; May D. Wang (EMBC, 2022)

Model Confidence Calibration for Reliable COVID-19 Early Screening via Audio Signal Analysis. - Micky C. Nnamdi; Junior Ben Tamo; Sara Stackpole; Wenqi Shi; Benoit Marteau; May Dongmei Wang (BCB, 2023)

Choice Over Effort: Mapping and Diagnosing Augmented Whole Slide Image Datasets with Training Dynamics. - Wenqi Shi; Benoit Louis Marteau; Felipe O. Giuste; May Dongmei Wang (BCB, 2023)

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)

Personalized COVID-19 Early Detection Using Wearable Data Based on Self-Reported Records. - Cheng Ding; Jayden Myers; David Lin; Wenqi Shi; May D. Wang; Zewei Lei; Benoit Marteau (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)

Confidence-Calibrated Clinical Decision Support System for Reliable Respiratory Disease Screening. - Micky C. Nnamdi; J. Ben Tamo; Wenqi Shi; Vivek K. Chundru; Benoit Marteau; Oankar Patil; May D. Wang (BHI, 2024)

Interpretable Survival Risk Prediction for High-Grade Glioma Patients via Radiomic Features from Peritumoral Region. - Rohan Dhamdhere; Satvika Bharadwaj; Arpit Aggarwal; Pushkar Mutha; Wenqi Shi; Benoit Marteau; Anant Madabhushi; May D. Wang (EMBC, 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)

Augmenting Spline Interpolated Dementia EEG Data with Deep Learning for Improved Multi-Centric Data Harmonization. - Matthew Chen; Benoit Marteau; Micky C. Nnamdi; J. Ben Tamo; May D. Wang (ISBI, 2025)

Synthetic H&E Generation from Highly Multiplixed Immunofluorescence Imaging using Deep-Learning. - Oankar R. Patil; Benoit Louis Marteau; Felipe O. Giuste; May D. Wang (ISBI, 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)