MRICloud: Delivering high-throughput MRI neuroinformatics as cloud-based software as a service

Computing in Science and Engineering

Volumn 18, Issue 5, 2016, Pages 21-35

  Mori, Susumu ^a   Wu, Dan ^a   Ceritoglu, Can ^b   Li, Yue ^c   Kolasny, Anthony ^b   Vaillant, Marc A ^d   Faria, Andreia V ^a   Oishi, Kenichi ^a   Miller, Michael I ^b  

^a JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Johns Hopkins University   (United States)

^c AnatomyWorks   (United States)

^d Animetrics   (United States)

Author keywords

cloud computation; image informatics; image segmentation; magnetic resonance atlases; MR atlases; scientific computing; software as a service

Indexed keywords

COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; DIAGNOSIS; DISTRIBUTED DATABASE SYSTEMS; IMAGE SEGMENTATION; MEDICAL IMAGING; NATURAL SCIENCES COMPUTING; SOFTWARE AS A SERVICE (SAAS); THROUGHPUT; USER INTERFACES; WEB SERVICES;

CLIENT-SERVER MODELS; HIGH PERFORMANCE COMPUTING; IMAGE ANALYSIS TOOLS; IMAGE INFORMATICS; MODERN ARCHITECTURES; MR ATLASES; REMOTE COMPUTATIONS; SOFTWARE IMPLEMENTATION;

MAGNETIC RESONANCE IMAGING;

EID: 84985025973     PISSN: 15219615     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCSE.2016.93     Document Type: Article

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