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Dr Joanne George
Dr

Joanne George

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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

  • Early Detection of Cerebral Palsy

  • Follow up of infants at risk of adverse neurodevelopmental outcomes following early brain injury

Works

Search Professor Joanne George’s works on UQ eSpace

24 works between 2015 and 2024

1 - 20 of 24 works

2024

Journal Article

Sensitivity and specificity of the Neonatal Visual Assessment to predict motor and cognitive outcomes in infants born very preterm

Blazek, Jessica W., Colditz, Paul B., Guzzetta, Andrea, Ware, Robert S., Chatfield, Mark D., Hough, Judith L., Boyd, Roslyn N. and George, Joanne M. (2024). Sensitivity and specificity of the Neonatal Visual Assessment to predict motor and cognitive outcomes in infants born very preterm. Early Human Development, 195 106068, 1-9. doi: 10.1016/j.earlhumdev.2024.106068

Sensitivity and specificity of the Neonatal Visual Assessment to predict motor and cognitive outcomes in infants born very preterm

2024

Journal Article

The Hammersmith Infant Neurological Exam Scoring Aid supports early detection for infants with high probability of cerebral palsy

Fehlings, Darcy, Makino, Amber, Church, Paige, Banihani, Rudaina, Thomas, Karen, Luther, Maureen, Lam-Damji, Sophie, Vollmer, Brigitte, Haataja, Leena, Cowan, Frances, Romeo, Dominico, George, Joanne and Kumar, Swetlana (2024). The Hammersmith Infant Neurological Exam Scoring Aid supports early detection for infants with high probability of cerebral palsy. Developmental Medicine and Child Neurology, 66 (9), 1255-1257. doi: 10.1111/dmcn.15977

The Hammersmith Infant Neurological Exam Scoring Aid supports early detection for infants with high probability of cerebral palsy

2024

Journal Article

Measuring Physical Function in the PICU: Development and Testing of a Children’s Version (Age 2–18 yr) of the Chelsea Critical Care Physical Assessment Tool

Ferguson, Alexandra H., Stockton, Kellie A., Wright, Sarah E., George, Joanne M., Fulton, Tessa J., Stocker, Christian and Long, Debbie A. (2024). Measuring Physical Function in the PICU: Development and Testing of a Children’s Version (Age 2–18 yr) of the Chelsea Critical Care Physical Assessment Tool. Pediatric Critical Care Medicine, 25 (5), e239-e245. doi: 10.1097/pcc.0000000000003463

Measuring Physical Function in the PICU: Development and Testing of a Children’s Version (Age 2–18 yr) of the Chelsea Critical Care Physical Assessment Tool

2024

Journal Article

The Knowledge Translation of Early Cerebral Palsy (KiTE CP) Study: Implementing Screening among a High-risk Prospective Cohort of Australian infants

Kwong, Amanda KL., Eeles, Abbey, Anderson, Peter J., Badawi, Nadia, Boyd, Roslyn N., Cameron, Kate L., Cheong, Jeanie, Colditz, Paul, Koorts, Pieter, Crowle, Cathryn, Dale, Russell C., Doyle, Lex W., Fahey, Michael, George, Joanne, Hunt, Rod W., McNamara, Lynda, Morgan, Catherine, Novak, Iona, Olsen, Joy E., Reid, Nadia, Rieger, Ingrid, Whittingham, Koa and Spittle, Alicia J. (2024). The Knowledge Translation of Early Cerebral Palsy (KiTE CP) Study: Implementing Screening among a High-risk Prospective Cohort of Australian infants. The Journal of Pediatrics, 268 113949, 113949. doi: 10.1016/j.jpeds.2024.113949

The Knowledge Translation of Early Cerebral Palsy (KiTE CP) Study: Implementing Screening among a High-risk Prospective Cohort of Australian infants

2023

Journal Article

Diagnostic accuracy of the Hammersmith Neonatal Neurological Examination in predicting motor outcome at 12 months for infants born very preterm

Howard, Grace T., Baque, Emmah, Colditz, Paul B., Chatfield, Mark D., Ware, Robert S., Boyd, Roslyn N. and George, Joanne M. (2023). Diagnostic accuracy of the Hammersmith Neonatal Neurological Examination in predicting motor outcome at 12 months for infants born very preterm. Developmental Medicine and Child Neurology, 65 (8), 1061-1072. doi: 10.1111/dmcn.15512

Diagnostic accuracy of the Hammersmith Neonatal Neurological Examination in predicting motor outcome at 12 months for infants born very preterm

2023

Journal Article

Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants

Pagnozzi, Alex M., van Eijk, Liza, Pannek, Kerstin, Boyd, Roslyn N., Saha, Susmita, George, Joanne, Bora, Samudragupta, Bradford, DanaKai, Fahey, Michael, Ditchfield, Michael, Malhotra, Atul, Liley, Helen, Colditz, Paul B., Rose, Stephen and Fripp, Jurgen (2023). Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants. NeuroImage, 267 119815, 1-10. doi: 10.1016/j.neuroimage.2022.119815

Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants

2022

Journal Article

Neurological examination at 32-weeks postmenstrual age predicts 12-month cognitive outcomes in very preterm-born infants

Huf, Isabel U., Baque, Emmah, Colditz, Paul B., Chatfield, Mark D., Ware, Robert S., Boyd, Roslyn N. and George, Joanne M. (2022). Neurological examination at 32-weeks postmenstrual age predicts 12-month cognitive outcomes in very preterm-born infants. Pediatric Research, 93 (6), 1721-1727. doi: 10.1038/s41390-022-02310-6

Neurological examination at 32-weeks postmenstrual age predicts 12-month cognitive outcomes in very preterm-born infants

2022

Journal Article

Early motor repertoire of very preterm infants and relationships with 2-year neurodevelopment

Kwong, Amanda K.-L., Boyd, Roslyn N., Chatfield, Mark D., Ware, Robert S., Colditz, Paul B. and George, Joanne M. (2022). Early motor repertoire of very preterm infants and relationships with 2-year neurodevelopment. Journal of Clinical Medicine, 11 (7) 1833, 1833. doi: 10.3390/jcm11071833

Early motor repertoire of very preterm infants and relationships with 2-year neurodevelopment

2021

Journal Article

Automating quantitative measures of an established conventional MRI scoring system for preterm-born infants scanned between 29 and 47 weeks’ postmenstrual age

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

Automating quantitative measures of an established conventional MRI scoring system for preterm-born infants scanned between 29 and 47 weeks’ postmenstrual age

2021

Conference Publication

HD-EEG spectra in 6-year-old children born prematurely

Nguyen, Courtney, Iyer, Kartik, George, Joanne, Pagnozzi, Alex, Bora, Samudragupta, Colditz, Paul and Barlow, Karen (2021). HD-EEG spectra in 6-year-old children born prematurely. AAN 73rd Annual Meeting, Online, 17-22 April 2021. Philadelphia, PA United States: Wolters Kluwer. doi: 10.1212/wnl.96.15_supplement.2043

HD-EEG spectra in 6-year-old children born prematurely

2021

Journal Article

Early clinical and MRI biomarkers of cognitive and motor outcomes in very preterm born infants

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, 90 (6), 1243-1250. doi: 10.1038/s41390-021-01399-5

Early clinical and MRI biomarkers of cognitive and motor outcomes in very preterm born infants

2020

Journal Article

Brain microstructure and morphology of very preterm-born infants at term equivalent age: associations with motor and cognitive outcomes at 1 and 2 years

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

Brain microstructure and morphology of very preterm-born infants at term equivalent age: associations with motor and cognitive outcomes at 1 and 2 years

2020

Journal Article

Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model

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

Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model

2020

Journal Article

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

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

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

2018

Journal Article

Relationship between very early brain structure and neuromotor, neurological and neurobehavioral function in infants born <31 weeks gestational age

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

Relationship between very early brain structure and neuromotor, neurological and neurobehavioral function in infants born <31 weeks gestational age

2018

Journal Article

Fixel-based analysis reveals alterations is brain microstructure and macrostructure of preterm-born infants at term equivalent age

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

Fixel-based analysis reveals alterations is brain microstructure and macrostructure of preterm-born infants at term equivalent age

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

2018

Journal Article

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)

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

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)

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

Funding

Current funding

  • 2019 - 2026
    Prediction of childhood Brain Outcomes in infants born preterm using neonatal MRI and concurrent clinical biomarkers - PREBO-6
    NHMRC Project Grant
    Open grant

Past funding

  • 2020 - 2021
    Advancing early detection of infants at risk of adverse neurodevelopmental outcomes and cerebral palsy following prematurity and early brain injury
    The Children's Hospital Foundation
    Open grant
  • 2019
    Early structural MRI and concurrent clinical assessment in very preterm infants: relationship with 12 month motor outcome
    The Children's Hospital Foundation
    Open grant
  • 2014 - 2016
    PPREMO: Prediction of PReterm Early Motor and neurodevelopmental Outcomes
    Financial Markets Foundation for Children
    Open grant
  • 2014 - 2016
    Prediction of PReterm Early Motor and neurodevelopmental Outcomes using advanced brain imaging and an early assessment toolbox
    Cerebral Palsy Alliance
    Open grant

Supervision

Availability

Dr Joanne George is:
Available for supervision

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Available projects

  • 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

  • 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

For media enquiries about Dr Joanne George's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au