Robert M Judd
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Explore the profile of Robert M Judd including associated specialties, affiliations and a list of published articles.
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73
Citations
3169
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Recent Articles
1.
Amyar A, Nakamori S, Morales M, Yoon S, Rodriguez J, Kim J, et al.
Med Image Comput Comput Assist Interv
. 2025 Jan;
14221():639-648.
PMID: 39829676
Gadolinium-based contrast agents are commonly used in cardiac magnetic resonance (CMR) imaging to characterize myocardial scar tissue. Recent works using deep learning have shown the promise of contrast-free short-axis cine...
2.
Villar-Calle P, Kochav J, Vadaketh K, Chiu C, Tak K, Agoglia H, et al.
Circ Cardiovasc Imaging
. 2024 Aug;
17(8):e016852.
PMID: 39163376
Background: Right ventricular (RV) dysfunction is known to impact prognosis, but its determinants in coronary artery disease are poorly understood. Stress cardiac magnetic resonance (CMR) has been used to assess...
3.
Tong M, Slivnick J, Sharif B, Kim H, Young A, Sierra-Galan L, et al.
J Cardiovasc Magn Reson
. 2024 Jul;
26(2):101055.
PMID: 38971501
Background: Cardiovascular magnetic resonance (CMR) is increasingly utilized to evaluate expanding cardiovascular conditions. The Society for Cardiovascular Magnetic Resonance (SCMR) Registry is a central repository for real-world clinical data to...
4.
Morales M, Ghanbari F, Nakamori S, Assana S, Amyar A, Yoon S, et al.
Radiol Cardiothorac Imaging
. 2024 May;
6(3):e230177.
PMID: 38722232
Purpose To develop a deep learning model for increasing cardiac cine frame rate while maintaining spatial resolution and scan time. Materials and Methods A transformer-based model was trained and tested...
5.
Mariscal-Harana J, Asher C, Vergani V, Rizvi M, Keehn L, Kim R, et al.
Eur Heart J Digit Health
. 2023 Oct;
4(5):370-383.
PMID: 37794871
Aims: Artificial intelligence (AI) techniques have been proposed for automating analysis of short-axis (SAX) cine cardiac magnetic resonance (CMR), but no CMR analysis tool exists to automatically analyse large (unstructured)...
6.
Amyar A, Fahmy A, Guo R, Nakata K, Sai E, Rodriguez J, et al.
J Magn Reson Imaging
. 2023 Apr;
59(1):179-189.
PMID: 37052580
Background: In cardiac T mapping, a series of T -weighted (T w) images are collected and numerically fitted to a two or three-parameter model of the signal recovery to estimate...
7.
Jenista E, Wendell D, Azevedo C, Klem I, Judd R, Kim R, et al.
J Cardiovasc Magn Reson
. 2023 Mar;
25(1):18.
PMID: 36922844
No abstract available.
8.
Kaolawanich Y, Azevedo C, Kim H, Jenista E, Wendell D, Chen E, et al.
JACC Cardiovasc Imaging
. 2022 Dec;
15(12):2069-2079.
PMID: 36481075
Background: Myocardial fibrosis is a fundamental process in cardiac injury. Cardiac magnetic resonance native T1 mapping has been proposed for diagnosing myocardial fibrosis without the need for gadolinium contrast. However,...
9.
Azevedo C, Jenista E, Kaolawanich Y, Kim H, Wendell D, Alenezi F, et al.
NMR Biomed
. 2022 May;
35(10):e4777.
PMID: 35633068
Myocardial lipomatous metaplasia, which can serve as substrate for ventricular arrhythmias, is usually composed of regions in which there is an admixture of fat and nonfat tissue. Although dedicated sequences...
10.
Romano S, DellAtti D, Judd R, Kim R, Weinsaft J, Kim J, et al.
JACC Cardiovasc Imaging
. 2021 Apr;
14(8):1561-1568.
PMID: 33865769
Objectives: This study sought to evaluate the prognostic value of cardiac magnetic resonance (CMR) feature-tracking-derived right ventricular (RV) free wall longitudinal strain (RVFWLS) in a large multicenter population of patients...