Dr Joanne George
Advanced Research Physiotherapist and Postdoctoral Research Fellow
+61 7 3069 7371
| Featured projects | Duration |
|---|---|
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Queensland Early Detection and Intervention Network – for children at risk of Cerebral Palsy (QEDIN-CP) Queensland Government |
2016–2020 |
Book Chapter
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. Data driven treatment response assessment and preterm, perinatal, and paediatric image analysis. (pp. 87-96) Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-00807-9_9
Journal Articles
van Eijk, L., Seidel, M., Pannek, K., George, J.M., Fiori, S., Guzzetta, A., Coulthard, A., Bursle, J., Ware, R.S., Bradford, D., Rose, S., Colditz, P.B., Boyd, R.N. and Fripp, J. (2021). 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, 42 (10), 1870-1877. doi: 10.3174/ajnr.a7230
George, Joanne M., Colditz, Paul B., Chatfield, Mark D., Fiori, Simona, Pannek, Kerstin, Fripp, Jurgen, Guzzetta, Andrea, Rose, Stephen E., Ware, Robert S. and Boyd, Roslyn N. (2021). Early clinical and MRI biomarkers of cognitive and motor outcomes in very preterm born infants. Pediatric Research. doi: 10.1038/s41390-021-01399-5
Pannek, Kerstin, George, Joanne M., Boyd, Roslyn N., Colditz, Paul B., Rose, Stephen E. and Fripp, Jurgen (2020). Brain microstructure and morphology of very preterm-born infants at term equivalent age: associations with motor and cognitive outcomes at 1 and 2 years. NeuroImage, 221 117163, 117163. doi: 10.1016/j.neuroimage.2020.117163
Saha, Susmita, Pagnozzi, Alex, Bourgeat, Pierrick, George, Joanne M., Bradford, DanaKai, Colditz, Paul B., Boyd, Roslyn N., Rose, Stephen E., Fripp, Jurgen and Pannek, Kerstin (2020). Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model. NeuroImage, 215 116807, 116807. doi: 10.1016/j.neuroimage.2020.116807
George, Joanne M., Pagnozzi, Alex M., Bora, Samudragupta, Boyd, Roslyn N., Colditz, Paul B., Rose, Stephen E., Ware, Robert S., Pannek, Kerstin, Bursle, Jane E., Fripp, Jurgen, Barlow, Karen, Iyer, Kartik, Leishman, Shaneen J. and Jendra, Rebecca L. (2020). Prediction of childhood brain outcomes in infants born preterm using neonatal MRI and concurrent clinical biomarkers (PREBO-6): study protocol for a prospective cohort study. BMJ Open, 10 (5) e036480, e036480. doi: 10.1136/bmjopen-2019-036480
George, Joanne M., Fiori, Simona, Fripp, Jurgen, Pannek, Kerstin, Guzzetta, Andrea, David, Michael, Ware, Robert S, Rose, Stephen E, Colditz, Paul B and Boyd, Roslyn N (2018). Relationship between very early brain structure and neuromotor, neurological and neurobehavioral function in infants born <31 weeks gestational age. Early Human Development, 117, 74-82. doi: 10.1016/j.earlhumdev.2017.12.014
Pannek, Kerstin, Fripp, Jurgen, George, Joanne M., Fiori, Simona, Colditz, Paul B., Boyd, Roslyn N. and Rose, Stephen E. (2018). Fixel-based analysis reveals alterations is brain microstructure and macrostructure of preterm-born infants at term equivalent age. NeuroImage: Clinical, 18, 51-59. doi: 10.1016/j.nicl.2018.01.003
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. (2018). Erratum: Validation of an MRI Brain Injury and Growth Scoring System in Very Preterm Infants Scanned at 29- to 35-Week Postmenstrual Age (vol 38, pg 1435, 2017). American Journal of Neuroradiology, 39 (1), E8-E8. doi: 10.3174/ajnr.A5448
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
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-E41. doi: 10.3174/ajnr.A5478
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
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
Conference Paper
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
Thesis
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