Research ArticlePediatric Neuroimaging
Open Access
Automating Quantitative Measures of an Established Conventional MRI Scoring System for Preterm-Born Infants Scanned between 29 and 47 Weeks’ Postmenstrual Age
L. van Eijk, M. Seidel, K. Pannek, J.M. George, S. Fiori, A. Guzzetta, A. Coulthard, J. Bursle, R.S. Ware, D. Bradford, S. Rose, P.B. Colditz, R.N. Boyd and J. Fripp
American Journal of Neuroradiology August 2021, DOI: https://doi.org/10.3174/ajnr.A7230
L. van Eijk
aFrom The Australian e-Health Research Centre (L.v.E., M.S., K.P., D.B., S.R., J.F.), Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Australia
bFaculty of Medicine (L.v.E., M.S.)
M. Seidel
aFrom The Australian e-Health Research Centre (L.v.E., M.S., K.P., D.B., S.R., J.F.), Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Australia
bFaculty of Medicine (L.v.E., M.S.)
K. Pannek
aFrom The Australian e-Health Research Centre (L.v.E., M.S., K.P., D.B., S.R., J.F.), Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Australia
J.M. George
cQueensland Cerebral Palsy and Rehabilitation Research Centre (J.M.G., R.N.B.)
S. Fiori
fDepartment of Developmental Neuroscience (S.F., A.G.), Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris, Pisa, Italy
A. Guzzetta
fDepartment of Developmental Neuroscience (S.F., A.G.), Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris, Pisa, Italy
gDepartment of Clinical and Experimental Medicine (A.G.), University of Pisa, Pisa, Italy
A. Coulthard
dCentre for Children’s Health Research, Discipline of Medical Imaging (A.C.)
hDepartments of Medical Imaging (A.C., J.B.)
J. Bursle
hDepartments of Medical Imaging (A.C., J.B.)
R.S. Ware
jMenzies Health Institute Queensland (R.S.W.), Griffith University, Brisbane, Australia.
D. Bradford
aFrom The Australian e-Health Research Centre (L.v.E., M.S., K.P., D.B., S.R., J.F.), Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Australia
S. Rose
aFrom The Australian e-Health Research Centre (L.v.E., M.S., K.P., D.B., S.R., J.F.), Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Australia
P.B. Colditz
ePerinatal Research Centre (P.B.C.), Faculty of Medicine, University of Queensland Centre for Clinical Research, The University of Queensland, Brisbane, Australia
iPerinatal Research Centre (P.B.C.), Royal Brisbane and Women’s Hospital, Brisbane, Australia
R.N. Boyd
cQueensland Cerebral Palsy and Rehabilitation Research Centre (J.M.G., R.N.B.)
J. Fripp
aFrom The Australian e-Health Research Centre (L.v.E., M.S., K.P., D.B., S.R., J.F.), Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Australia

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L. van Eijk, M. Seidel, K. Pannek, J.M. George, S. Fiori, A. Guzzetta, A. Coulthard, J. Bursle, R.S. Ware, D. Bradford, S. Rose, P.B. Colditz, R.N. Boyd, J. Fripp
Automating Quantitative Measures of an Established Conventional MRI Scoring System for Preterm-Born Infants Scanned between 29 and 47 Weeks’ Postmenstrual Age
American Journal of Neuroradiology Aug 2021, DOI: 10.3174/ajnr.A7230
Automating Quantitative Measures of an Established Conventional MRI Scoring System for Preterm-Born Infants Scanned between 29 and 47 Weeks’ Postmenstrual Age
L. van Eijk, M. Seidel, K. Pannek, J.M. George, S. Fiori, A. Guzzetta, A. Coulthard, J. Bursle, R.S. Ware, D. Bradford, S. Rose, P.B. Colditz, R.N. Boyd, J. Fripp
American Journal of Neuroradiology Aug 2021, DOI: 10.3174/ajnr.A7230
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