q-space deep learning for twelve-fold shorter and model-free diffusion MRI scans

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9349, Issue , 2015, Pages 37-44

  Golkov, Vladimir ^a   Dosovitskiy, Alexey ^b   Sämann, Philipp ^c   Sperl, Jonathan I ^d   Sprenger, Tim ^a,d   Czisch, Michael ^c   Menzel, Marion I ^d   Gómez, Pedro A ^a,d   Haase, Axel ^a   Brox, Thomas ^b   Cremers, Daniel ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b UNIVERSITY OF FREIBURG   (Germany)

^c MAX PLANCK INSTITUTE OF PSYCHIATRY   (Germany)

^d GE GLOBAL RESEARCH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; MAGNETIC RESONANCE IMAGING; NEURAL NETWORKS; PIPELINE PROCESSING SYSTEMS; PIPELINES;

ACQUISITION TIME; DATA PROCESSING PIPELINES; DEEP LEARNING; DIFFUSION KURTOSIS IMAGING; DIFFUSION MODEL; DIFFUSION MRIS; INPUT DATAS; MODEL FREE;

DIFFUSION;

EID: 84947447886     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-24553-9_5     Document Type: Chapter

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