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The Canadian Journal of Cardiology
|
February 27, 2013
The prognostic role of late gadolinium enhancement magnetic resonance imaging in patients with cardiomyopathy
John Stirrat, James A White
Magnetic Resonance Imaging Clinics of North America
|
November 3, 2007
The role of cardiovascular MRI in heart failure and the cardiomyopathies
James A White, Manesh R Patel
Cardiology Clinics
|
May 5, 2007
The role of cardiovascular MRI in heart failure and the cardiomyopathies
James A White, Manesh R Patel
Current Cardiology Reports
|
June 20, 2016
Recent Advances in Cardiovascular Imaging Relevant to the Management of Patients with Suspected Cardiac Amyloidosis
James A White, Nowell M Fine
Journal of Holistic Nursing : Official Journal of the American Holistic Nurses' Association
|
June 3, 2006
Faithfully fit forever: a holistic exercise and wellness program for faith communities
James A White, Janet Drechsel, Jenna Johnson
Medical Physics
|
February 9, 2019
Convolutional neural network-based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images
Fatemeh Zabihollahy, James A White, Eranga Ukwatta
The Canadian Journal of Cardiology
|
March 15, 2024
Cardiovascular Magnetic Resonance-Based Tissue Characterization in Patients With Hypertrophic Cardiomyopathy
Atish Vanmali, Waleed Alhumaid, James A White
Frontiers in Cardiovascular Medicine
|
June 19, 2023
Anderson-Fabry disease cardiomyopathy: an update on epidemiology, diagnostic approach, management and monitoring strategies
Tauben Averbuch, James A White, Nowell M Fine
Medical Physics
|
January 20, 2020
Fully automated segmentation of left ventricular scar from 3D late gadolinium enhancement magnetic resonance imaging using a cascaded multi-planar U-Net (CMPU-Net)
Fatemeh Zabihollahy, Martin Rajchl, James A White, et al.
Medical Physics
|
November 1, 2020
Evaluation of fully automated myocardial segmentation techniques in native and contrast-enhanced T1-mapping cardiovascular magnetic resonance images using fully convolutional neural networks
Nadia A Farrag, Aidan Lochbihler, James A White, et al.
Page
of 13
Search research articles
Search
Showing results (1-10 of 129) with videos related to
Sort By:
Page
of 13
The Canadian Journal of Cardiology
|
February 27, 2013
The prognostic role of late gadolinium enhancement magnetic resonance imaging in patients with cardiomyopathy
John Stirrat, James A White
Magnetic Resonance Imaging Clinics of North America
|
November 3, 2007
The role of cardiovascular MRI in heart failure and the cardiomyopathies
James A White, Manesh R Patel
Cardiology Clinics
|
May 5, 2007
The role of cardiovascular MRI in heart failure and the cardiomyopathies
James A White, Manesh R Patel
Current Cardiology Reports
|
June 20, 2016
Recent Advances in Cardiovascular Imaging Relevant to the Management of Patients with Suspected Cardiac Amyloidosis
James A White, Nowell M Fine
Journal of Holistic Nursing : Official Journal of the American Holistic Nurses' Association
|
June 3, 2006
Faithfully fit forever: a holistic exercise and wellness program for faith communities
James A White, Janet Drechsel, Jenna Johnson
Medical Physics
|
February 9, 2019
Convolutional neural network-based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images
Fatemeh Zabihollahy, James A White, Eranga Ukwatta
The Canadian Journal of Cardiology
|
March 15, 2024
Cardiovascular Magnetic Resonance-Based Tissue Characterization in Patients With Hypertrophic Cardiomyopathy
Atish Vanmali, Waleed Alhumaid, James A White
Frontiers in Cardiovascular Medicine
|
June 19, 2023
Anderson-Fabry disease cardiomyopathy: an update on epidemiology, diagnostic approach, management and monitoring strategies
Tauben Averbuch, James A White, Nowell M Fine
Medical Physics
|
January 20, 2020
Fully automated segmentation of left ventricular scar from 3D late gadolinium enhancement magnetic resonance imaging using a cascaded multi-planar U-Net (CMPU-Net)
Fatemeh Zabihollahy, Martin Rajchl, James A White, et al.
Medical Physics
|
November 1, 2020
Evaluation of fully automated myocardial segmentation techniques in native and contrast-enhanced T1-mapping cardiovascular magnetic resonance images using fully convolutional neural networks
Nadia A Farrag, Aidan Lochbihler, James A White, et al.
Page
of 13