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Magma (New York, N.Y.)
|
May 18, 2023
Impact of compressed sensing (CS) acceleration of two-dimensional (2D) flow sequences in clinical paediatric cardiovascular magnetic resonance (CMR)
Sara Moscatelli, Peter Gatehouse, Sylvia Krupickova, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
January 20, 2025
Evaluation of Real-Time Cardiovascular Flow MRI Using Compressed Sensing in a Phantom and in Patients With Valvular Disease or Arrhythmia
Tania Lala, Lea Christierson, Petter Frieberg, et al.
Radiology
|
October 23, 2019
Evaluation of 3.0-T MRI Brain Signal after Exposure to Gadoterate Meglumine in Women with High Breast Cancer Risk and Screening Breast MRI
Barbara Bennani-Baiti, Barbara Krug, Daniel Giese, et al.
Diagnostics (Basel, Switzerland)
|
June 28, 2023
Four-Dimensional Flow MRI for the Evaluation of Aortic Endovascular Graft: A Pilot Study
Paolo Righini, Francesco Secchi, Daniela Mazzaccaro, et al.
European Journal of Radiology
|
February 17, 2021
Velocity quantification in 44 healthy volunteers using accelerated multi-VENC 4D flow CMR
Jan Robert Kroeger, Francesca Claudia Pavesio, Richard Mörsdorf, et al.
European Journal of Radiology
|
October 8, 2018
Myocardial T1 and T2 mapping in severe aortic stenosis: Potential novel insights into the pathophysiology of myocardial remodelling
Ana Fehrmann, Melanie Treutlein, Tanja Rudolph, et al.
Circulation
|
March 12, 2014
Streaming in transposition of the great arteries by using cardiac magnetic resonance imaging
James Wong, Kuberan Pushparajah, Tarique Hussain, et al.
Biomechanics and Modeling in Mechanobiology
|
January 19, 2025
A multi-modal computational fluid dynamics model of left atrial fibrillation haemodynamics validated with 4D flow MRI
Louis Parker, Emilie Bollache, Shannon Soulez, et al.
European Radiology
|
September 28, 2020
Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network
Thomas Dratsch, Michael Korenkov, David Zopfs, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|
June 2, 2014
Characterization and correction of eddy-current artifacts in unipolar and bipolar diffusion sequences using magnetic field monitoring
Rachel W Chan, Constantin von Deuster, Daniel Giese, et al.
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Search research articles
Search
Showing results (31-40 of 78) with videos related to
Sort By:
Page
of 8
Magma (New York, N.Y.)
|
May 18, 2023
Impact of compressed sensing (CS) acceleration of two-dimensional (2D) flow sequences in clinical paediatric cardiovascular magnetic resonance (CMR)
Sara Moscatelli, Peter Gatehouse, Sylvia Krupickova, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
January 20, 2025
Evaluation of Real-Time Cardiovascular Flow MRI Using Compressed Sensing in a Phantom and in Patients With Valvular Disease or Arrhythmia
Tania Lala, Lea Christierson, Petter Frieberg, et al.
Radiology
|
October 23, 2019
Evaluation of 3.0-T MRI Brain Signal after Exposure to Gadoterate Meglumine in Women with High Breast Cancer Risk and Screening Breast MRI
Barbara Bennani-Baiti, Barbara Krug, Daniel Giese, et al.
Diagnostics (Basel, Switzerland)
|
June 28, 2023
Four-Dimensional Flow MRI for the Evaluation of Aortic Endovascular Graft: A Pilot Study
Paolo Righini, Francesco Secchi, Daniela Mazzaccaro, et al.
European Journal of Radiology
|
February 17, 2021
Velocity quantification in 44 healthy volunteers using accelerated multi-VENC 4D flow CMR
Jan Robert Kroeger, Francesca Claudia Pavesio, Richard Mörsdorf, et al.
European Journal of Radiology
|
October 8, 2018
Myocardial T1 and T2 mapping in severe aortic stenosis: Potential novel insights into the pathophysiology of myocardial remodelling
Ana Fehrmann, Melanie Treutlein, Tanja Rudolph, et al.
Circulation
|
March 12, 2014
Streaming in transposition of the great arteries by using cardiac magnetic resonance imaging
James Wong, Kuberan Pushparajah, Tarique Hussain, et al.
Biomechanics and Modeling in Mechanobiology
|
January 19, 2025
A multi-modal computational fluid dynamics model of left atrial fibrillation haemodynamics validated with 4D flow MRI
Louis Parker, Emilie Bollache, Shannon Soulez, et al.
European Radiology
|
September 28, 2020
Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network
Thomas Dratsch, Michael Korenkov, David Zopfs, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|
June 2, 2014
Characterization and correction of eddy-current artifacts in unipolar and bipolar diffusion sequences using magnetic field monitoring
Rachel W Chan, Constantin von Deuster, Daniel Giese, et al.
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of 8