Total-variational-based optical flow for cardiac-wall motion tracking. - Arun Kumar 009; Steven Haker; Arthur E. Stillman; Cecilia W. Curry; Don P. Giddens; Allen R. Tannenbaum; Anthony J. Yezzi (Image Processing, 2001)

Coronary vessel trees from 3D imagery: A topological approach. - Andrzej Szymczak; Arthur E. Stillman; Allen R. Tannenbaum; Konstantin Mischaikow (Medical Image Anal., 2006)

Automatic Segmentation of Coronary Arteries Using Bayesian Driven Implicit Surfaces. - Yan Yang 004; Allen R. Tannenbaum; Don P. Giddens; Arthur E. Stillman (ISBI, 2007)

Estimation of myocardial volume at risk from CT angiography. - Liangjia Zhu; Yi Gao 002; Vandana Mohan; Arthur E. Stillman; Tracy L. Faber; Allen R. Tannenbaum (Computer-Aided Diagnosis, 2011)

A System for Seismocardiography-Based Identification of Quiescent Heart Phases: Implications for Cardiac Imaging. - Carson A. Wick; Jin-Jyh Su; James H. McClellan; Oliver Brand; Pamela T. Bhatti; Ashley L. Buice; Arthur E. Stillman; Xiangyang Tang; Srini Tridandapani (IEEE Trans. Inf. Technol. Biomed., 2012)

Automatic Delineation of the Myocardial Wall From CT Images Via Shape Segmentation and Variational Region Growing. - Liangjia Zhu; Yi Gao 002; Vikram V. Appia; Anthony J. Yezzi; Chesnal D. Arepalli; Tracy L. Faber; Arthur E. Stillman; Allen R. Tannenbaum (IEEE Trans. Biomed. Eng., 2013)

A Complete System for Automatic Extraction of Left Ventricular Myocardium From CT Images Using Shape Segmentation and Contour Evolution. - Liangjia Zhu; Yi Gao 002; Vikram V. Appia; Anthony J. Yezzi; Chesnal D. Arepalli; Tracy L. Faber; Arthur E. Stillman; Allen R. Tannenbaum (IEEE Trans. Image Process., 2014)

Bayesian neural networks for severity assessment of COVID-19 pneumonia from chest x-ray using a multi-reader and binational dataset. - Mohammadreza Zandehshahvar; Marly van Assen; Eun Young Kim; Yashar Kiarashi; Vikranth Keerthipati; Arthur E. Stillman; Peter Filev; Amir H. Davarpanah; Eugene A. Berkowitz; Stefan Tigges; Scott J. Lee; Brianna L. Vey; et al. (Computer-Aided Diagnosis, 2023)