OPTICAL COHERENCE TOMOGRAPHY-BASED PREDICTORS OF CORONARY PLAQUE PROGRESSION USING VALIDATED, AUTOMATED COMPUTATIONAL METHODOLOGY

Abstract

Peer reviewed

Nicholas Kassis, Tomas Kovarnik, Joseph Weber, Brendan Martin, Zhi Chen, Andreas Wahle, Milan Sonka and John J Lopez

Journal of the American College of Cardiology, Vol.73(9), pp.1304-1304

03/2019

DOI: 10.1016/S0735-1097(19)31911-4

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Title: Subtitle: OPTICAL COHERENCE TOMOGRAPHY-BASED PREDICTORS OF CORONARY PLAQUE PROGRESSION USING VALIDATED, AUTOMATED COMPUTATIONAL METHODOLOGY
Creators: Nicholas Kassis - Loyola University Chicago
Tomas Kovarnik
Joseph Weber
Brendan Martin
Zhi Chen
Andreas Wahle
Milan Sonka
John J Lopez
Resource Type: Abstract
Publication Details: Journal of the American College of Cardiology, Vol.73(9), pp.1304-1304
DOI: 10.1016/S0735-1097(19)31911-4
ISSN: 0735-1097
eISSN: 1558-3597
Language: English
Date published: 03/2019
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; The Iowa Institute for Biomedical Imaging; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
Record Identifier: 9984186925802771

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