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Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction.

O. Jaubert, M. Pascale, J. Montalt-Tordera, J. Akesson, R. Virsinskaite, D. Knight, S. Arridge, J. Steeden, and V. Muthurangu. CoRR, (2023)

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Jennifer Anne Constantino

Jennifer Anne Vloet

Dieter Annemaier

Helmut Annen

Marianne Annen

Other publications of authors with the same name

Rapid Whole-Heart CMR with Single Volume Super-resolution.J. Steeden, M. Quail, A. Gotschy, A. Hauptmann, S. Arridge, R. Jones, and V. Muthurangu. CoRR, (2019)Implementation of a generalized heterogeneous image reconstruction system for clinical magnetic resonance.G. Kowalik, J. Steeden, and V. Muthurangu. Concurr. Comput. Pract. Exp., 27 (6): 1603-1611 (2015)Image2Flow: A hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data.T. Yao, E. Pajaziti, M. Quail, S. Schievano, J. Steeden, and V. Muthurangu. CoRR, (2024)Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction.O. Jaubert, M. Pascale, J. Montalt-Tordera, J. Akesson, R. Virsinskaite, D. Knight, S. Arridge, J. Steeden, and V. Muthurangu. CoRR, (2023)FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation.O. Jaubert, J. Montalt-Tordera, J. Brown, D. Knight, S. Arridge, J. Steeden, and V. Muthurangu. CoRR, (2022)Machine Learning in Magnetic Resonance Imaging: Image Reconstruction.J. Montalt-Tordera, V. Muthurangu, A. Hauptmann, and J. Steeden. CoRR, (2020)GLADE: Gradient Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic MRI.M. Pascale, V. Muthurangu, J. Montalt-Tordera, H. Fitzke, G. Bhatnagar, S. Taylor, and J. Steeden. CoRR, (2023)Real-time Cardiovascular MR with Spatio-temporal De-aliasing using Deep Learning - Proof of Concept in Congenital Heart Disease.A. Hauptmann, S. Arridge, F. Lucka, V. Muthurangu, and J. Steeden. CoRR, (2018)Deep Learning Pipeline for Preprocessing and Segmenting Cardiac Magnetic Resonance of Single Ventricle Patients from an Image Registry.T. Yao, N. Clair, G. Miller, A. Dorfman, M. Fogel, S. Ghelani, R. Krishnamurthy, C. Lam, J. Robinson, D. Schidlow and 6 other author(s). CoRR, (2023)HyperSLICE: HyperBand optimised Spiral for Low-latency Interactive Cardiac Examination.O. Jaubert, J. Montalt-Tordera, D. Knight, S. Arridge, J. Steeden, and V. Muthurangu. CoRR, (2023)

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Disambiguation of "Steeden, Jennifer Anne"

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Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction.

Please choose a person to relate this publication to

Jennifer Anne Constantino

Jennifer Anne Vloet

Dieter Annemaier

Helmut Annen

Marianne Annen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Steeden, Jennifer Anne"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction.

Please choose a person to relate this publication to

Jennifer Anne Constantino

Jennifer Anne Vloet

Dieter Annemaier

Helmut Annen

Marianne Annen

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction.