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Refinado por: assunto: Magnetic Resonance Imaging remover
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1
A deep learning framework for unsupervised affine and deformable image registration
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A deep learning framework for unsupervised affine and deformable image registration

de Vos, Bob D. ; Berendsen, Floris F. ; Viergever, Max A. ; Sokooti, Hessam ; Staring, Marius ; Išgum, Ivana

Medical image analysis, 2019-02, Vol.52, p.128-143 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions
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CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions

Küstner, Thomas ; Fuin, Niccolo ; Hammernik, Kerstin ; Bustin, Aurelien ; Qi, Haikun ; Hajhosseiny, Reza ; Masci, Pier Giorgio ; Neji, Radhouene ; Rueckert, Daniel ; Botnar, René M ; Prieto, Claudia

Scientific reports, 2020-08, Vol.10 (1), p.13710-13710, Article 13710 [Periódico revisado por pares]

England: Nature Publishing Group

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3
Accelerating cardiac cine MRI using a deep learning‐based ESPIRiT reconstruction
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Accelerating cardiac cine MRI using a deep learning‐based ESPIRiT reconstruction

Sandino, Christopher M. ; Lai, Peng ; Vasanawala, Shreyas S. ; Cheng, Joseph Y.

Magnetic resonance in medicine, 2021-01, Vol.85 (1), p.152-167 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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4
Prognostic Value of Cardiac Magnetic Resonance Tissue Characterization in Risk Stratifying Patients With Suspected Myocarditis
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Prognostic Value of Cardiac Magnetic Resonance Tissue Characterization in Risk Stratifying Patients With Suspected Myocarditis

Gräni, Christoph ; Eichhorn, Christian ; Bière, Loïc ; Murthy, Venkatesh L. ; Agarwal, Vikram ; Kaneko, Kyoichi ; Cuddy, Sarah ; Aghayev, Ayaz ; Steigner, Michael ; Blankstein, Ron ; Jerosch-Herold, Michael ; Kwong, Raymond Y.

Journal of the American College of Cardiology, 2017-10, Vol.70 (16), p.1964-1976 [Periódico revisado por pares]

United States: Elsevier Inc

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5
Catheter Ablation Versus Medical Rate Control in Atrial Fibrillation and Systolic Dysfunction: The CAMERA-MRI Study
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Catheter Ablation Versus Medical Rate Control in Atrial Fibrillation and Systolic Dysfunction: The CAMERA-MRI Study

Prabhu, Sandeep ; Taylor, Andrew J ; Costello, Ben T ; Kaye, David M ; McLellan, Alex J A ; Voskoboinik, Aleksandr ; Sugumar, Hariharan ; Lockwood, Siobhan M ; Stokes, Michael B ; Pathik, Bhupesh ; Nalliah, Chrishan J ; Wong, Geoff R ; Azzopardi, Sonia M ; Gutman, Sarah J ; Lee, Geoffrey ; Layland, Jamie ; Mariani, Justin A ; Ling, Liang-Han ; Kalman, Jonathan M ; Kistler, Peter M

Journal of the American College of Cardiology, 2017-10, Vol.70 (16), p.1949-1961 [Periódico revisado por pares]

United States: Elsevier Limited

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6
Validation of highly accelerated real‐time cardiac cine MRI with radial k‐space sampling and compressed sensing in patients at 1.5T and 3T
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Validation of highly accelerated real‐time cardiac cine MRI with radial k‐space sampling and compressed sensing in patients at 1.5T and 3T

Haji‐Valizadeh, Hassan ; Rahsepar, Amir A. ; Collins, Jeremy D. ; Bassett, Elwin ; Isakova, Tamara ; Block, Tobias ; Adluru, Ganesh ; DiBella, Edward V. R. ; Lee, Daniel C. ; Carr, James C. ; Kim, Daniel

Magnetic resonance in medicine, 2018-05, Vol.79 (5), p.2745-2751 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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7
Free‐breathing 2D radial cine MRI with respiratory auto‐calibrated motion correction (RAMCO)
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Free‐breathing 2D radial cine MRI with respiratory auto‐calibrated motion correction (RAMCO)

Krishnamoorthy, Guruprasad ; Tourais, Joao ; Smink, Jouke ; Breeuwer, Marcel ; Kouwenhoven, Marc

Magnetic resonance in medicine, 2023-03, Vol.89 (3), p.977-989 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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8
Rapid reconstruction of highly undersampled, non‐Cartesian real‐time cine k‐space data using a perceptual complex neural network (PCNN)
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Rapid reconstruction of highly undersampled, non‐Cartesian real‐time cine k‐space data using a perceptual complex neural network (PCNN)

Shen, Daming ; Ghosh, Sushobhan ; Haji‐Valizadeh, Hassan ; Pathrose, Ashitha ; Schiffers, Florian ; Lee, Daniel C. ; Freed, Benjamin H. ; Markl, Michael ; Cossairt, Oliver S. ; Katsaggelos, Aggelos K. ; Kim, Daniel

NMR in biomedicine, 2021-01, Vol.34 (1), p.e4405-n/a [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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9
A 16‐channel combined loop‐dipole transceiver array for 7 Tesla body MRI
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A 16‐channel combined loop‐dipole transceiver array for 7 Tesla body MRI

Ertürk, M. Arcan ; Raaijmakers, Alexander J.E. ; Adriany, Gregor ; Uğurbil, Kâmil ; Metzger, Gregory J.

Magnetic resonance in medicine, 2017-02, Vol.77 (2), p.884-894 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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10
A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices
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A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices

Banerjee, Abhirup ; Camps, Julià ; Zacur, Ernesto ; Andrews, Christopher M ; Rudy, Yoram ; Choudhury, Robin P ; Rodriguez, Blanca ; Grau, Vicente

Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2021-12, Vol.379 (2212), p.20200257-20200257 [Periódico revisado por pares]

England: The Royal Society

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