Deep Learning Super-Resolution Reconstruction for Fast and Motion-Robust T2-weighted Prostate MRI-Reference-Cited by-同舟云学术

Deep Learning Super-Resolution Reconstruction for Fast and Motion-Robust T2-weighted Prostate MRI

Published:2023-09-01 Issue:3 Volume:308 Page:
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Bischoff Leon M.^ORCID,Peeters Johannes M.^ORCID,Weinhold Leonie^ORCID,Krausewitz Philipp^ORCID,Ellinger Jörg^ORCID,Katemann Christoph^ORCID,Isaak Alexander^ORCID,Weber Oliver M.^ORCID,Kuetting Daniel^ORCID,Attenberger Ulrike^ORCID,Pieper Claus C.^ORCID,Sprinkart Alois M.^ORCID,Luetkens Julian A.^ORCID

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.230427

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4. ACR, ESUR and AdMeTech Foundation. Prostate Imaging Reporting & Data System (PI-RADS). Version 2.1. American College of Radiology, 2019.

5. Multiparametric MRI of prostate cancer: An update on state-of-the-art techniques and their performance in detecting and localizing prostate cancer

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