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2018

Conference Publication

Investigating brain age deviation in preterm infants: a deep learning approach

Saha, Susmita, Pagnozzi, Alex, George, Joanne, Colditz, Paul B., Boyd, Roslyn, Rose, Stephen, Fripp, Jurgen and Pannek, Kerstin (2018). Investigating brain age deviation in preterm infants: a deep learning approach. First International Workshop DATRA 2018 and Third International Workshop PIPPI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, 16 September 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-00807-9_9

Investigating brain age deviation in preterm infants: a deep learning approach

2017

Journal Article

Diagnostic accuracy of early magnetic resonance imaging to determine motor outcomes in infants born preterm: A systematic review and meta-analysis

George, Joanne M, Pannek, Kerstin, Rose, Stephen E, Ware, Robert S, Colditz, Paul B and Boyd, Roslyn N (2017). Diagnostic accuracy of early magnetic resonance imaging to determine motor outcomes in infants born preterm: A systematic review and meta-analysis. Developmental Medicine and Child Neurology, 60 (2), 134-146. doi: 10.1111/dmcn.13611

Diagnostic accuracy of early magnetic resonance imaging to determine motor outcomes in infants born preterm: A systematic review and meta-analysis

2017

Journal Article

Reply

George, J M, Fiori, S, Fripp, J, Pannek, K, Bursle, J, Moldrich, R X, Guzzetta, A, Coulthard, A, Ware, R S, Rose, S E, Colditz, P B and Boyd, R N (2017). Reply. American Journal of Neuroradiology, 39 (3), E40-E40. doi: 10.3174/ajnr.A5478

Reply

2017

Other Outputs

The relationship between brain structure and function of very preterm infants, and the ability to predict neurodevelopmental outcomes

George, Joanne (2017). The relationship between brain structure and function of very preterm infants, and the ability to predict neurodevelopmental outcomes. PhD Thesis, Faculty of Medicine, The University of Queensland. doi: 10.14264/uql.2017.917

The relationship between brain structure and function of very preterm infants, and the ability to predict neurodevelopmental outcomes

2017

Journal Article

Validation of an MRI brain injury and growth scoring system in very preterm infants scanned at 29-to 35-week postmenstrual age

George, J. M., Fiori, S., Fripp, J., Pannek, K., Bursle, J., Moldrich, R. X., Guzzetta, A., Coulthard, A., Ware, R. S., Rose, S. E., Colditz, P. B. and Boyd, R. N. (2017). Validation of an MRI brain injury and growth scoring system in very preterm infants scanned at 29-to 35-week postmenstrual age. American Journal of Neuroradiology, 38 (7), 1435-1442. doi: 10.3174/ajnr.A5191

Validation of an MRI brain injury and growth scoring system in very preterm infants scanned at 29-to 35-week postmenstrual age

2017

Conference Publication

A spatio-temporal atlas of neonatal diffusion MRI based on kernel ridge regression

Shen, Kaikai, Fripp, Jurgen, Pannek, Kerstin, George, Joanne, Colditz, Paul, Boyd, Roslyn and Rose, Stephen (2017). A spatio-temporal atlas of neonatal diffusion MRI based on kernel ridge regression. 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, VIC, Australia, 18 - 21 April 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ISBI.2017.7950484

A spatio-temporal atlas of neonatal diffusion MRI based on kernel ridge regression

2015

Journal Article

PPREMO: A prospective cohort study of preterm infant brain structure and function to predict neurodevelopmental outcome

George, Joanne M., Boyd, Roslyn N., Colditz, Paul B., Rose, Stephen E., Pannek, Kerstin, Fripp, Jurgen, Lingwood, Barbara E., Lai, Melissa M., Kong, Annice HT., Ware, Robert S., Coulthard, Alan, Finn, Christine M. and Bandaranayake, Sasaka E. (2015). PPREMO: A prospective cohort study of preterm infant brain structure and function to predict neurodevelopmental outcome. BMC Pediatrics, 15 (123) 123, 123. doi: 10.1186/s12887-015-0439-z

PPREMO: A prospective cohort study of preterm infant brain structure and function to predict neurodevelopmental outcome