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)

Feature Exploration and Causal Inference on Mortality of Epilepsy Patients Using Insurance Claims Data. - Yuanda Zhu; Hang Wu; May D. Wang (BHI, 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)

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)

Mitigating Patient-to-Patient Variation in EEG Seizure Detection using Meta Transfer Learning. - Yuanda Zhu; Mohammed Saqib; Elizabeth Ham; Sami Belhareth; Ryan Hoffman; May Dongmei Wang (BIBE, 2020)

Regularization of Deep Neural Networks for EEG Seizure Detection to Mitigate Overfitting. - Mohammed Saqib; Yuanda Zhu; May D. Wang; Brett K. Beaulieu-Jones (COMPSAC, 2020)

Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation. - Yuanda Zhu; Ying Sha; Hang Wu; Mai Li; Ryan A. Hoffman; May D. Wang (CoRR, 2020)

REMOTE: Robust External Malware Detection Framework by Using Electromagnetic Signals. - Nader Sehatbakhsh; Alireza Nazari; Monjur Alam; Frank Werner 005; Yuanda Zhu; Alenka G. Zajic; Milos Prvulovic (IEEE Trans. Computers, 2020)

COVID-19 diagnosis using model agnostic meta-learning on limited chest X-ray images. - Tarun Naren; Yuanda Zhu; May Dongmei Wang (BCB, 2021)

Improving Heart Transplant Rejection Classification Training using Progressive Generative Adversarial Networks. - Ali Mirzazadeh; Arshawn Mohseni; Sahar Ibrahim; Felipe O. Giuste; Yuanda Zhu; Bahig M. Shehata; Shriprasad R. Deshpande; May D. Wang (BHI, 2021)

A FHIR-compliant Application for Multi-Site and Multi-Modality Pediatric Scoliosis Patient Rehabilitation. - Wenqi Shi; Felipe O. Giuste; Yuanda Zhu; Ashley M. Carpenter; Henry J. Iwinski; Coleman Hilton; J. Michael Wattenbarger; May D. Wang (BIBM, 2021)

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)

Development of a generalizable multi-site and multi-modality clinical data cloud infrastructure for pediatric patient care. - Andrew Hornback; Wenqi Shi; Felipe O. Giuste; Yuanda Zhu; Ashley M. Carpenter; Coleman Hilton; Vinieth N. Bijanki; Hiram Stahl; Gary S. Gottesman; Chad Purnell; Henry J. Iwinski; J. Michael Wattenbarger; et al. (BCB, 2022)

Using natural language processing on free-text clinical notes to identify patients with long-term COVID effects. - Yuanda Zhu; Aishwarya Mahale; Kourtney Peters; Lejy Mathew; Felipe O. Giuste; Blake J. Anderson; May D. Wang (BCB, 2022)

Automating Treatment Recommendations for Children with Cerebral Palsy Based on Multi-Modal Clinical Data. - Aishwarya Mahale; Yuanda Zhu; Sami Belhareth; Adam Graf; Karen M. Kruger; Joseph Krzak; May D. Wang (BHI, 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)

Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit. - Yuanda Zhu; Janani Venugopalan; Zhenyu Zhang; Nikhil Chanani; Kevin O. Maher; May D. Wang (Frontiers Artif. Intell., 2022)

Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics. - Yuanda Zhu; Ying Sha; Hang Wu; Mai Li; Ryan A. Hoffman; May D. Wang (IEEE J. Biomed. Health Informatics, 2022)

Retrieval-Augmented Large Language Models for Adolescent Idiopathic Scoliosis Patients in Shared Decision-Making. - Wenqi Shi; Yuchen Zhuang; Yuanda Zhu; Henry J. Iwinski; J. Michael Wattenbarger; May Dongmei Wang (BCB, 2023)

Adolescent Idiopathic Scoliosis Patient Subphenotyping for Surgical Planning and Improved Patient Outcomes. - Junior Ben Tamo; Wenqi Shi; Yuanda Zhu; Micky C. Nnamdi; Henry J. Iwinski; J. Michael Wattenbarger; May Dongmei Wang (BCB, 2023)

Automated Seizure Detection using Transformer Models on Multi-Channel EEGs. - Yuanda Zhu; May D. Wang (BHI, 2023)

Latent Topic Extraction as a Source of Labeling in Natural Language Processing. - Andrew Hornback; Yuanda Zhu; Monica Isgut; Wenqi Shi; Arjita Nema; Blake J. Anderson; 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)

Heterogeneous Treatment Effects of Spinal Fusion Surgery for Adolescent Idiopathic Scoliosis Patients. - J. Ben Tamo; Micky C. Nnamdi; Andrew Hornback; Matthew Chen; Wenqi Shi; Yuanda Zhu; Henry J. Iwinski; May D. Wang (BCB, 2024)

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records. - Wenqi Shi; Ran Xu 002; Yuchen Zhuang; Yue Yu 001; Jieyu Zhang 001; Hang Wu; Yuanda Zhu; Joyce C. Ho; Carl Yang 001; May Dongmei Wang (EMNLP, 2024)

EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. - Wenqi Shi; Ran Xu 002; Yuchen Zhuang; Yue Yu 001; Jieyu Zhang 001; Hang Wu; Yuanda Zhu; Joyce C. Ho; Carl Yang 001; May D. Wang (CoRR, 2024)

Graph theoretic visualization of patient and health worker messaging in the EHR. - Muhammad Zia Ul Haq; Andrew Hornback; Arash Harzand; David Andrew Gutman; Bradley Gallaher; Evan D. Schoenberg; Yuanda Zhu; May D. Wang; Blake Anderson (Frontiers Artif. Intell., 2024)

Developing Novel NLP-Enabled Timely and Accurate Decision Making for Precision Medicine. - Yuanda Zhu (2024)

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)