The impact of RNA-seq aligners on gene expression estimation. - Cheng Yang 001; Po-Yen Wu; Li Tong 001; John H. Phan; May D. Wang (BCB, 2015)

Automated risk prediction for esophageal optical endomicroscopic images. - Sonal Kothari; Hang Wu; Li Tong 001; Kevin E. Woods; May D. Wang (BHI, 2016)

Evaluating the impact of sequencing error correction for RNA-seq data with ERCC RNA spike-in controls. - Li Tong 001; Cheng Yang 001; Po-Yen Wu; May D. Wang (BHI, 2016)

Predicting heart rejection using histopathological whole-slide imaging and deep neural network with dropout. - Li Tong 001; Ryan Hoffman; Shriprasad R. Deshpande; May D. Wang (BHI, 2017)

Improving multi-class classification for endomicroscopic images by semi-supervised learning. - Hang Wu; Li Tong 001; May D. Wang (BHI, 2017)

Prediction of heart transplant rejection using histopathological whole-slide imaging. - Adrienne E. Dooley; Li Tong 001; Shriprasad R. Deshpande; May D. Wang (BHI, 2018)

Learning to Evaluate Color Similarity for Histopathology Images using Triplet Networks. - Anirudh Choudhary; Hang Wu; Li Tong 001; May D. Wang (BCB, 2019)

Fusion In Breast Cancer Histology Classification. - Juan Carlos Vizcarra; Ryan Place; Li Tong 001; David A. Gutman; May Dongmei Wang (BCB, 2019)

Improved Prediction on Heart Transplant Rejection Using Convolutional Autoencoder and Multiple Instance Learning on Whole-Slide Imaging. - Yuanda Zhu; Li Tong 001; Shriprasad R. Deshpande; May D. Wang (BHI, 2019)

A Translational Pipeline for Overall Survival Prediction of Breast Cancer Patients by Decision-Level Integration of Multi-Omics Data. - Jonathan Mitchel; Kevin Chatlin; Li Tong 001; May D. Wang (BIBM, 2019)

Improving Classification of Breast Cancer by Utilizing the Image Pyramids of Whole-Slide Imaging and Multi-scale Convolutional Neural Networks. - Li Tong 001; Ying Sha; May D. Wang (COMPSAC (1), 2019)

Mitigating the Effect of Dataset Bias on Training Deep Models for Chest X-rays. - Yundong Zhang 001; Hang Wu; Huiye Liu; Li Tong 001; May D. Wang (CoRR, 2019)

CAESNet: Convolutional AutoEncoder based Semi-supervised Network for improving multiclass classification of endomicroscopic images. - Li Tong 001; Hang Wu; May D. Wang (J. Am. Medical Informatics Assoc., 2019)

Automated Classification of Acute Rejection from Endomyocardial Biopsies. - Felipe O. Giuste; Mythreye Venkatesan; Conan Zhao; Li Tong 001; Yuanda Zhu; Shriprasad R. Deshpande; May D. Wang (BCB, 2020)

TLSurv: Integrating Multi-Omics Data by Multi-Stage Transfer Learning for Cancer Survival Prediction. - Yixing Jiang; Kristen Alford; Frank Ketchum; Li Tong 001; May D. Wang (BCB, 2020)

EXAM: An Explainable Attention-based Model for COVID-19 Automatic Diagnosis. - Wenqi Shi; Li Tong 001; Yuchen Zhuang; Yuanda Zhu; May D. Wang (BCB, 2020)

Generating Region of Interests for Invasive Breast Cancer in Histopathological Whole-Slide-Image. - Shreyas Malakarjun Patil; Li Tong 001; May D. Wang (COMPSAC, 2020)

Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis. - Li Tong 001; Jonathan Mitchel; Kevin Chatlin; May D. Wang (BMC Medical Informatics Decis. Mak., 2020)

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review. - Felipe O. Giuste; Wenqi Shi; Yuanda Zhu; Tarun Naren; Monica Isgut; Ying Sha; Li Tong 001; Mitali S. Gupte; May D. Wang (CoRR, 2021)

COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks. - Wenqi Shi; Li Tong 001; Yuanda Zhu; May D. Wang (IEEE J. Biomed. Health Informatics, 2021)

Enabling precision medicine by integrating multi-modal biomedical data. - Li Tong 001 (2021)

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)

Fairness Artificial Intelligence in Clinical Decision Support: Mitigating Effect of Health Disparity. - Hang Wu; Yuanda Zhu; Wenqi Shi; Li Tong 001; May D. Wang (IEEE J. Biomed. Health Informatics, 2025)