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Mehdi H Moghari

Showing results (11-20 of 28) with videos related to

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The International Journal of Cardiovascular Imaging|February 10, 2023
Deep learning-based prediction of intra-cardiac blood flow in long-axis cine magnetic resonance imagingXiaowu Sun, Li-Hsin Cheng, Sven Plein, et al.
Frontiers in Cardiovascular Medicine|November 2, 2023
Feasibility of gray-blood late gadolinium enhancement evaluation in young patients with congenital and acquired heart diseaseCesar Gonzalez de Alba, Mehdi H Moghari, Lorna P Browne, et al.
Magnetic Resonance Imaging|June 20, 2021
Accelerated free-breathing 3D whole-heart magnetic resonance angiography with a radial phyllotaxis trajectory, compressed sensing, and curvelet transformWai Yan Ryana Fok, Yan Chi Ivy Chan, Jennifer Romanowicz, et al.
Magnetic Resonance Imaging|April 27, 2021
Cardiac self-gating using blind source separation for 2D cine cardiovascular magnetic resonance imagingHenrik von Kleist, Martin Buehrer, Sebastian Kozerke, et al.
Magnetic Resonance in Medicine|December 3, 2011
Subject-specific estimation of respiratory navigator tracking factor for free-breathing cardiovascular MRMehdi H Moghari, Peng Hu, Kraig V Kissinger, et al.
IEEE Transactions on Medical Imaging|May 4, 2011
Compressed sensing with wavelet domain dependencies for coronary MRI: a retrospective studyMehmet Akçakaya, Seunghoon Nam, Peng Hu, et al.
Journal of Clinical Images and Medical Case Reports|November 7, 2022
Predicting Hemodynamic Performance of Fontan Operation for Glenn Physiology using Computational Fluid Dynamics: Ten Patient-specific CasesElahe Javadi, Sebastian Laudenschlager, Vitaly Kheyfets, et al.
Medical Image Analysis|May 31, 2022
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart diseaseDanielle F Pace, Adrian V Dalca, Tom Brosch, et al.
Magnetic Resonance Imaging|September 19, 2022
Non-contrast free-breathing whole-heart 3D cine cardiovascular magnetic resonance with a novel 3D radial leaf trajectoryLukas Braunstorfer, Jennifer Romanowicz, Andrew J Powell, et al.
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : 4Th International Workshop, DLMIA 2018, and 8Th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, S|June 8, 2019
Iterative Segmentation from Limited Training Data: Applications to Congenital Heart DiseaseDanielle F Pace, Adrian V Dalca, Tom Brosch, et al.
Pageof 3

Showing results (11-20 of 28) with videos related to

Sort By:
Pageof 3
The International Journal of Cardiovascular Imaging|February 10, 2023
Deep learning-based prediction of intra-cardiac blood flow in long-axis cine magnetic resonance imagingXiaowu Sun, Li-Hsin Cheng, Sven Plein, et al.
Frontiers in Cardiovascular Medicine|November 2, 2023
Feasibility of gray-blood late gadolinium enhancement evaluation in young patients with congenital and acquired heart diseaseCesar Gonzalez de Alba, Mehdi H Moghari, Lorna P Browne, et al.
Magnetic Resonance Imaging|June 20, 2021
Accelerated free-breathing 3D whole-heart magnetic resonance angiography with a radial phyllotaxis trajectory, compressed sensing, and curvelet transformWai Yan Ryana Fok, Yan Chi Ivy Chan, Jennifer Romanowicz, et al.
Magnetic Resonance Imaging|April 27, 2021
Cardiac self-gating using blind source separation for 2D cine cardiovascular magnetic resonance imagingHenrik von Kleist, Martin Buehrer, Sebastian Kozerke, et al.
Magnetic Resonance in Medicine|December 3, 2011
Subject-specific estimation of respiratory navigator tracking factor for free-breathing cardiovascular MRMehdi H Moghari, Peng Hu, Kraig V Kissinger, et al.
IEEE Transactions on Medical Imaging|May 4, 2011
Compressed sensing with wavelet domain dependencies for coronary MRI: a retrospective studyMehmet Akçakaya, Seunghoon Nam, Peng Hu, et al.
Journal of Clinical Images and Medical Case Reports|November 7, 2022
Predicting Hemodynamic Performance of Fontan Operation for Glenn Physiology using Computational Fluid Dynamics: Ten Patient-specific CasesElahe Javadi, Sebastian Laudenschlager, Vitaly Kheyfets, et al.
Medical Image Analysis|May 31, 2022
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart diseaseDanielle F Pace, Adrian V Dalca, Tom Brosch, et al.
Magnetic Resonance Imaging|September 19, 2022
Non-contrast free-breathing whole-heart 3D cine cardiovascular magnetic resonance with a novel 3D radial leaf trajectoryLukas Braunstorfer, Jennifer Romanowicz, Andrew J Powell, et al.
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : 4Th International Workshop, DLMIA 2018, and 8Th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, S|June 8, 2019
Iterative Segmentation from Limited Training Data: Applications to Congenital Heart DiseaseDanielle F Pace, Adrian V Dalca, Tom Brosch, et al.
Pageof 3