A machine learning approach to reconstruction of heart surface potentials from body surface potentials. - Avinash Malik; Tommy Peng; Mark L. Trew (EMBC, 2018)

Parametric Modeling of Electrocardiograms using Particle Swarm optimization. - Tommy Peng; Mark Trew; Avinash Malik (EMBC, 2018)

Predictive modeling of drug effects on electrocardiograms. - Tommy Peng; Mark L. Trew; Avinash Malik (Comput. Biol. Medicine, 2019)

Predicting drug-mediated pro-arrhythmic effects using pre-drug electrocardiograms. - Tommy Peng; Avinash Malik; Mark L. Trew (Biomed. Signal Process. Control., 2021)

Basis Function Based Data Driven Learning for the Inverse Problem of Electrocardiography. - Tommy Peng; Avinash Malik; Laura Bear; Mark L. Trew (CoRR, 2021)

Impulse Data Models for the Inverse Problem of Electrocardiography. - Tommy Peng; Avinash Malik; Laura R. Bear; Mark L. Trew (IEEE J. Biomed. Health Informatics, 2022)

Brain Functional Connectivity Networks do not Return to Resting-state During Control Trials in Block Design Experiments. - Jamal Esmaelpoor; Tommy Peng; Beth Jelfs; Maureen J. Shader; Colette M. McKay; Darren Mao (EMBC, 2023)

A Parametric Model for Characterizing Time-Variant Single Trials of Block-Design fNIRS Experiments. - Tommy Peng; Jamal Esmaelpoor; Darren Mao; Onn Wah Lee; Mica Haneman; Gautam Balasubramanian; Julia Wunderlich; Colette M. McKay (EMBC, 2023)