Applying Deep Learning to Accelerated Clinical Brain Magnetic Resonance Imaging for Multiple Sclerosis.

Saved in:
Bibliographic Details
Title: Applying Deep Learning to Accelerated Clinical Brain Magnetic Resonance Imaging for Multiple Sclerosis.
Authors: Mani A; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, United States., Santini T; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States., Puppala R; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States., Dahl M; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States., Venkatesh S; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States., Walker E; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States., DeHaven M; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States., Isitan C; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States., Ibrahim TS; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States., Wang L; Subtle Medical Inc., Menlo Park, CA, United States., Zhang T; Subtle Medical Inc., Menlo Park, CA, United States., Gong E; Subtle Medical Inc., Menlo Park, CA, United States., Barrios-Martinez J; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, United States., Yeh FC; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, United States., Krafty R; Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, United States., Mettenburg JM; Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States., Xia Z; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States.; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States.
Source: Frontiers in neurology [Front Neurol] 2021 Sep 27; Vol. 12, pp. 685276. Date of Electronic Publication: 2021 Sep 27 (Print Publication: 2021).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101546899 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2295 (Print) Linking ISSN: 16642295 NLM ISO Abbreviation: Front Neurol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1664-2295
DOI:10.3389/fneur.2021.685276