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Edward Ferdian

Showing results (1-10 of 10) with videos related to

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Frontiers in Cardiovascular Medicine|February 10, 2022
WSSNet: Aortic Wall Shear Stress Estimation Using Deep Learning on 4D Flow MRIEdward Ferdian, David J Dubowitz, Charlene A Mauger, et al.
IEEE Transactions on Medical Imaging|March 25, 2026
Deep learning for temporal super-resolution 4D Flow MRIPia Callmer, Mia Bonini, Edward Ferdian, et al.
The International Journal of Cardiovascular Imaging|February 23, 2023
Super-resolution 4D flow MRI to quantify aortic regurgitation using computational fluid dynamics and deep learningDerek Long, Cameron McMurdo, Edward Ferdian, et al.
Magnetic Resonance in Medicine|August 25, 2021
Noninvasive quantification of cerebrovascular pressure changes using 4D Flow MRIDavid Marlevi, Jonas Schollenberger, Maria Aristova, et al.
Radiology. Cardiothoracic Imaging|July 28, 2020
Fully Automated Myocardial Strain Estimation from Cardiovascular MRI-tagged Images Using a Deep Learning Framework in the UK BiobankEdward Ferdian, Avan Suinesiaputra, Kenneth Fung, et al.
Computers in Biology and Medicine|May 14, 2026
Potential and challenges of generative adversarial networks for super-resolution in 4D flow MRIOliver Welin Odeback, Arivazhagan Geetha Balasubramanian, Jonas Schollenberger, et al.
Frontiers in Cardiovascular Medicine|February 7, 2022
Right Ventricular Flow Vorticity Relationships With Biventricular Shape in Adult Tetralogy of FallotAyah Elsayed, Charlène A Mauger, Edward Ferdian, et al.
IEEE Journal of Biomedical and Health Informatics|July 16, 2024
Generalized Super-Resolution 4D Flow MRI - Using Ensemble Learning to Extend Across the Cardiovascular SystemLeon Ericsson, Adam Hjalmarsson, Muhammad Usman Akbar, et al.
Arxiv|December 4, 2023
Generalized super-resolution 4D Flow MRI-using ensemble learning to extend across the cardiovascular systemLeon Ericsson, Adam Hjalmarsson, Muhammad Usman Akbar, et al.
Frontiers in Cardiovascular Medicine|January 27, 2023
MITEA: A dataset for machine learning segmentation of the left ventricle in 3D echocardiography using subject-specific labels from cardiac magnetic resonance imagingDebbie Zhao, Edward Ferdian, Gonzalo D Maso Talou, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Frontiers in Cardiovascular Medicine|February 10, 2022
WSSNet: Aortic Wall Shear Stress Estimation Using Deep Learning on 4D Flow MRIEdward Ferdian, David J Dubowitz, Charlene A Mauger, et al.
IEEE Transactions on Medical Imaging|March 25, 2026
Deep learning for temporal super-resolution 4D Flow MRIPia Callmer, Mia Bonini, Edward Ferdian, et al.
The International Journal of Cardiovascular Imaging|February 23, 2023
Super-resolution 4D flow MRI to quantify aortic regurgitation using computational fluid dynamics and deep learningDerek Long, Cameron McMurdo, Edward Ferdian, et al.
Magnetic Resonance in Medicine|August 25, 2021
Noninvasive quantification of cerebrovascular pressure changes using 4D Flow MRIDavid Marlevi, Jonas Schollenberger, Maria Aristova, et al.
Radiology. Cardiothoracic Imaging|July 28, 2020
Fully Automated Myocardial Strain Estimation from Cardiovascular MRI-tagged Images Using a Deep Learning Framework in the UK BiobankEdward Ferdian, Avan Suinesiaputra, Kenneth Fung, et al.
Computers in Biology and Medicine|May 14, 2026
Potential and challenges of generative adversarial networks for super-resolution in 4D flow MRIOliver Welin Odeback, Arivazhagan Geetha Balasubramanian, Jonas Schollenberger, et al.
Frontiers in Cardiovascular Medicine|February 7, 2022
Right Ventricular Flow Vorticity Relationships With Biventricular Shape in Adult Tetralogy of FallotAyah Elsayed, Charlène A Mauger, Edward Ferdian, et al.
IEEE Journal of Biomedical and Health Informatics|July 16, 2024
Generalized Super-Resolution 4D Flow MRI - Using Ensemble Learning to Extend Across the Cardiovascular SystemLeon Ericsson, Adam Hjalmarsson, Muhammad Usman Akbar, et al.
Arxiv|December 4, 2023
Generalized super-resolution 4D Flow MRI-using ensemble learning to extend across the cardiovascular systemLeon Ericsson, Adam Hjalmarsson, Muhammad Usman Akbar, et al.
Frontiers in Cardiovascular Medicine|January 27, 2023
MITEA: A dataset for machine learning segmentation of the left ventricle in 3D echocardiography using subject-specific labels from cardiac magnetic resonance imagingDebbie Zhao, Edward Ferdian, Gonzalo D Maso Talou, et al.
Pageof 1