Emerging Applications in Healthcare and Their Implications to Academia and Practice. - Raj Gururajan; Xiaohui Tao 001; Yuefeng Li; Xujuan Zhou; Soman Elangovan; Srinivas Kondalsamy-Chennakesavan; Revathi Venkataraman (WISE (2), 2021)

A novel genetic algorithm based system for the scheduling of medical treatments. - Matthew R. Squires; Xiaohui Tao 001; Soman Elangovan; Raj Gururajan; Xujuan Zhou; Udyavara Rajendra Acharya (Expert Syst. Appl., 2022)

Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment. - Matthew R. Squires; Xiaohui Tao 001; Soman Elangovan; Raj Gururajan; Xujuan Zhou; U. Rajendra Acharya; Yuefeng Li (Brain Informatics, 2023)

Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability. - Matthew R. Squires; Xiaohui Tao 001; Soman Elangovan; Raj Gururajan; Xujuan Zhou; Yuefeng Li; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2023)

DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks. - Matthew R. Squires; Xiaohui Tao 001; Soman Elangovan; Raj Gururajan; Haoran Xie 001; Xujuan Zhou; Yuefeng Li; U. Rajendra Acharya (CoRR, 2024)

Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing. - Matthew R. Squires; Xiaohui Tao 001; Soman Elangovan; U. Rajendra Acharya; Raj Gururajan; Haoran Xie 001; Xujuan Zhou (CoRR, 2024)