Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge

Medical Image Analysis

Volumn 20, Issue 1, 2015, Pages 135-151

  Išgum, Ivana ^a   Benders, Manon J N L ^b   Avants, Brian ^c   Cardoso, M Jorge ^d   Counsell, Serena J ^e   Gomez, Elda Fischi ^f,g   Gui, Laura ^f   Huppi, Petra S ^f   Kersbergen, Karina J ^b   Makropoulos, Antonios ^e,h   Melbourne, Andrew ^d   Moeskops, Pim ^a   Mol, Christian P ^a   Kuklisova Murgasova, Maria ^e   Rueckert, Daniel ^h   Schnabel, Julia A ⁱ   Srhoj Egekher, Vedran ^j   Wu, Jue ^c   Wang, Siying ⁱ   de Vries, Linda S ^b   Viergever, Max A ^a   more..

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^b UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d UNIVERSITY COLLEGE LONDON   (United Kingdom)

^e KING'S COLLEGE LONDON   (United Kingdom)

^f UNIVERSITY OF GENEVA   (Switzerland)

^g EPFL   (Switzerland)

^h IMPERIAL COLLEGE LONDON   (United Kingdom)

ⁱ UNIVERSITY OF OXFORD   (United Kingdom)

^j UNIVERSITY OF ZAGREB   (Croatia)

more..

Author keywords

Brain segmentation; MRI; Neonatal brain; Segmentation comparison; Segmentation evaluation

Indexed keywords

ALGORITHMS; BRAIN; CEREBROSPINAL FLUID; MAGNETIC RESONANCE IMAGING; SCANNING;

BASAL GANGLIA; BRAIN SEGMENTATION; CORTICAL GREY MATTER; MRI SCANNERS; PARTICIPATING TEAMS; SEGMENTATION EVALUATION; T2 WEIGHTED; WHITE MATTER;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATION; BASAL GANGLION; BRAIN; BRAIN STEM; CEREBELLUM; CEREBROSPINAL FLUID; CONTROLLED STUDY; GRAY MATTER; HUMAN; HUMAN EXPERIMENT; INFANT; NEUROIMAGING; NEWBORN; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; THALAMUS; WHITE MATTER; ANATOMY AND HISTOLOGY; COMPUTER ASSISTED DIAGNOSIS; PREMATURITY; PROCEDURES;

ALGORITHMS; AUTOMATION; BRAIN; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFANT, NEWBORN; INFANT, PREMATURE; MAGNETIC RESONANCE IMAGING;

EID: 84920895738     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2014.11.001     Document Type: Article

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