James C. Moon
Orcid: 0000-0001-8071-1491
According to our database1,
James C. Moon
authored at least 9 papers
between 2017 and 2023.
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Bibliography
2023
An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar.
Comput. Methods Programs Biomed., February, 2023
A 3D deep learning classifier and its explainability when assessing coronary artery disease.
CoRR, 2023
2022
Saturation-pulse prepared heart-rate independent inversion-recovery (SAPPHIRE) biventricular T1 mapping: inter-field strength, head-to-head comparison of diastolic, systolic and dark-blood measurements.
BMC Medical Imaging, 2022
2021
A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning.
IEEE Access, 2021
2020
Landmark detection in Cardiac Magnetic Resonance Imaging Using A Convolutional Neural Network.
CoRR, 2020
2019
Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15, 000 Patients.
CoRR, 2019
Improving the generalizability of convolutional neural network-based segmentation on CMR images.
CoRR, 2019
2017
A case report in cardiovascular magnetic resonance: the contrast agent matters in amyloid.
BMC Medical Imaging, 2017