Determining Ischemic Stroke From CT-Angiography Imaging Using Symmetry-Sensitive Convolutional Networks. - Arko Barman; Mehmet Enes Inam; Songmi Lee; Sean I. Savitz; Sunil Sheth; Luca Giancardo (ISBI, 2019)

Combining symmetric and standard deep convolutional representations for detecting brain hemorrhage. - Arko Barman; Victor Lopez-Rivera; Songmi Lee; Farhaan S. Vahidy; James Z. Fan; Sean I. Savitz; Sunil A. Sheth; Luca Giancardo (Computer-Aided Diagnosis, 2020)

Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation. - Kanglin Hsieh; Yinyin Wang; Luyao Chen; Zhongming Zhao; Sean I. Savitz; Xiaoqian Jiang; Jing Tang 002; Yejin Kim 001 (CoRR, 2020)

DBNet: a novel deep learning framework for mechanical ventilation prediction using electronic health records. - Kai Zhang 041; Xiaoqian Jiang; Mahboubeh Madadi; Luyao Chen; Sean I. Savitz; Shayan Shams (BCB, 2021)

Personalizing repetitive transcranial magnetic stimulation for precision depression treatment based on functional brain network controllability and optimal control analysis. - Feng Fang; Beata Godlewska; Raymond Y. Cho; Sean I. Savitz; Sudhakar Selvaraj; Yingchun Zhang (NeuroImage, 2022)

Graph Representation Learning For Stroke Recurrence Prediction. - Nicholas Glaze; Artun Bayer; Xiaoqian Jiang; Sean I. Savitz; Santiago Segarra (ICASSP, 2023)

Longitudinal Resting-State Functional Magnetic Resonance Imaging Study: A Seed-Based Connectivity Biomarker in Patients with Ischemic and Intracerebral Hemorrhage Stroke. - Seth B. Boren; Sean I. Savitz; Timothy M. Ellmore; Octavio D. Arevalo; Jaroslaw Aronowski; Christin Silos; Sarah George; Muhammad E. Haque (Brain Connect., 2023)

Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework. - Yan Chu 005; Kaichen Tang; Yu-Chun Hsu; Tongtong Huang; Dulin Wang; Wentao Li; Sean I. Savitz; Xiaoqian Jiang; Shayan Shams (BMC Medical Informatics Decis. Mak., 2023)