Overview
Availability
- Dr Joanne George is:
- Available for supervision
Qualifications
- Bachelor of Science in Physiotherapy, University of Cape Town
- Doctor of Philosophy of Paediatrics, The University of Queensland
Research interests
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Early Detection of Cerebral Palsy
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Follow up of infants at risk of adverse neurodevelopmental outcomes following early brain injury
Works
Search Professor Joanne George’s works on UQ eSpace
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
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
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
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
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
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
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
Supervision
Availability
- Dr Joanne George is:
- Available for supervision
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Available projects
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PREBO-6: Prediction of childhood Brain Outcomes in infants born preterm using neonatal MRI and concurrent clinical biomarkers
Doctoral projects will be part of the larger NHMRC funded PREBO-6 prospective cohort study involving advanced neuroimaging and neurodevelopmental assessment of children born prematurely. Please read our recent publication describing the PREBO-6 study protocol. Potential candidates will have a strong interest in clinical research in the field of paediatrics and particularly in neonatal and developmental medicine and neuroscience. The successful candidate will belong to a highly productive multidisciplinary research environment that has strong collaborations across Australia, India, New Zealand, and USA. Doctoral training from the highly ranked Faculty of Medicine at The University of Queensland will be an ideal opportunity for medical and non-medical graduates from related healthcare fields (e.g., health science, neuroscience, nursing, physiotherapy/physical therapy, psychology, and/or public health) who are planning for an academic and/or clinical research career.
Supervision history
Current supervision
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Doctor Philosophy
Identifying earlier biomarkers for neurodevelopmental outcomes in infants born very preterm: The ability of early and term equivalent age MRI to determine 6-year motor outcomes and cerebral palsy in infants born <31 weeks gestational age.
Principal Advisor
Other advisors: Professor Roslyn Boyd, Dr Samudragupta Bora
Media
Enquiries
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