A deep-learning semantic segmentation approach to fully automated MRI-based left-ventricular deformation analysis in cardiotoxicity

J Kar, MV Cohen, SP McQuiston, CM Malozzi - Magnetic resonance …, 2021 - Elsevier
Left-ventricular (LV) strain measurements with the Displacement Encoding with Stimulated
Echoes (DENSE) MRI sequence provide accurate estimates of cardiotoxicity damage …

Can global longitudinal strain (GLS) with magnetic resonance prognosticate early cancer therapy-related cardiac dysfunction (CTRCD) in breast cancer patients, a …

J Kar, MV Cohen, SA McQuiston, CM Malozzi - Magnetic resonance …, 2023 - Elsevier
Abstract Purpose To determine if Artificial Intelligence-based computation of global
longitudinal strain (GLS) from left ventricular (LV) MRI is an early prognostic factor of cancer …

Society for cardiovascular magnetic resonance 2019 case of the week series

A Dahiya, C Chao, J Younger, J Kar… - Journal of …, 2021 - Springer
Abstract The Society for Cardiovascular Magnetic Resonance (SCMR) is an international
society focused on the research, education, and clinical application of cardiovascular …

Machine learning outcome prediction in dilated cardiomyopathy using regional left ventricular multiparametric strain

RM MacGregor, A Guo, MF Masood, BP Cupps… - Annals of biomedical …, 2021 - Springer
The clinical presentation of idiopathic dilated cardiomyopathy (IDCM) heart failure (HF)
patients who will respond to medical therapy (responders) and those who will not (non …

Direct left-ventricular global longitudinal strain (GLS) computation with a fully convolutional network

J Kar, MV Cohen, SA McQuiston, T Poorsala… - Journal of …, 2022 - Elsevier
This study's purpose was to develop a direct MRI-based, deep-learning semantic
segmentation approach for computing global longitudinal strain (GLS), a known metric for …

3D-encoded DENSE MRI with zonal excitation for quantifying biventricular myocardial strain during a breath-hold

ED Carruth, SW Fielden, CD Nevius… - Cardiovascular …, 2021 - Springer
Purpose Right ventricular (RV) function is increasingly recognized for its prognostic value in
many disease states. As with the left ventricle (LV), strain-based measurements may have …

[HTML][HTML] Topographic mapping of left ventricular regional contractile injury in ischemic mitral regurgitation

TS Lancaster, J Kar, BP Cupps, MC Henn… - The Journal of thoracic …, 2017 - Elsevier
Objective Restrictive leaflet tethering resulting from regional left ventricular (LV) contractile
injury causes ischemic mitral regurgitation (MR). We hypothesized that 3-dimensional LV …

Introduction to a mechanism for automated myocardium boundary detection with displacement encoding with stimulated echoes (DENSE)

J Kar, X Zhong, MV Cohen, DA Cornejo… - The British Journal of …, 2018 - academic.oup.com
Objective: Displacement ENcoding with Stimulated Echoes (DENSE) is an MRI technique
developed to encode phase related to myocardial tissue displacements, and the …

Automated segmentation of the left-ventricle from MRI with a fully convolutional network to investigate CTRCD in breast cancer patients

J Kar, MV Cohen, SA McQuiston… - Journal of Medical …, 2024 - spiedigitallibrary.org
Purpose: The goal of this study was to develop a fully convolutional network (FCN) tool to
automatedly segment the left-ventricular (LV) myocardium in displacement encoding with …

Validation of a deep-learning semantic segmentation approach to fully automate MRI-based left-ventricular deformation analysis in cardiotoxicity

J Karr, M Cohen, SA McQuiston… - The British Journal of …, 2021 - academic.oup.com
Objective: Left-ventricular (LV) strain measurements with the Displacement Encoding with
Stimulated Echoes (DENSE) MRI sequence provide accurate estimates of cardiotoxicity …