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Michael P Recht

Showing results (81-90 of 88) with videos related to

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Magnetic Resonance in Medicine|June 8, 2020
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challengeFlorian Knoll, Tullie Murrell, Anuroop Sriram, et al.
Academic Radiology|June 20, 2020
Preserving Radiology Resident Education During the COVID-19 Pandemic: The Simulated Daily ReadoutMichael P Recht, Nancy R Fefferman, Mark E Bittman, et al.
Journal of the American College of Radiology : JACR|July 28, 2020
Early-Stage Radiology Volume Effects and Considerations with the Coronavirus Disease 2019 (COVID-19) Pandemic: Adaptations, Risks, and Lessons LearnedAlexander M Norbash, Arl Van Moore, Michael P Recht, et al.
Journal of the American College of Radiology : JACR|May 23, 2020
ACR Statement on Safe Resumption of Routine Radiology Care During the Coronavirus Disease 2019 (COVID-19) PandemicMatthew S Davenport, Michael A Bruno, Ramesh S Iyer, et al.
Radiology|January 17, 2023
Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRIPatricia M Johnson, Dana J Lin, Jure Zbontar, et al.
Investigative Radiology|February 2, 2023
Deep Learning Diagnosis and Classification of Rotator Cuff Tears on Shoulder MRIDana J Lin, Michael Schwier, Bernhard Geiger, et al.
AJR. American Journal of Roentgenology|August 7, 2020
Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability StudyMichael P Recht, Jure Zbontar, Daniel K Sodickson, et al.
Radiology. Artificial Intelligence|February 21, 2020
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine LearningFlorian Knoll, Jure Zbontar, Anuroop Sriram, et al.
Pageof 9

Showing results (81-90 of 88) with videos related to

Sort By:
Pageof 9
You have reached the last page of results.This site can display upto 88 results.
Magnetic Resonance in Medicine|June 8, 2020
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challengeFlorian Knoll, Tullie Murrell, Anuroop Sriram, et al.
Academic Radiology|June 20, 2020
Preserving Radiology Resident Education During the COVID-19 Pandemic: The Simulated Daily ReadoutMichael P Recht, Nancy R Fefferman, Mark E Bittman, et al.
Journal of the American College of Radiology : JACR|July 28, 2020
Early-Stage Radiology Volume Effects and Considerations with the Coronavirus Disease 2019 (COVID-19) Pandemic: Adaptations, Risks, and Lessons LearnedAlexander M Norbash, Arl Van Moore, Michael P Recht, et al.
Journal of the American College of Radiology : JACR|May 23, 2020
ACR Statement on Safe Resumption of Routine Radiology Care During the Coronavirus Disease 2019 (COVID-19) PandemicMatthew S Davenport, Michael A Bruno, Ramesh S Iyer, et al.
Radiology|January 17, 2023
Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRIPatricia M Johnson, Dana J Lin, Jure Zbontar, et al.
Investigative Radiology|February 2, 2023
Deep Learning Diagnosis and Classification of Rotator Cuff Tears on Shoulder MRIDana J Lin, Michael Schwier, Bernhard Geiger, et al.
AJR. American Journal of Roentgenology|August 7, 2020
Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability StudyMichael P Recht, Jure Zbontar, Daniel K Sodickson, et al.
Radiology. Artificial Intelligence|February 21, 2020
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine LearningFlorian Knoll, Jure Zbontar, Anuroop Sriram, et al.
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