Search Results - Pagnozzi, A.

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  1. 1
    Measuring neuroplasticity associated with cerebral palsy rehabilitation: An MRI based power analysis

    Measuring neuroplasticity associated with cerebral palsy rehabilitation: An MRI based power analysis by Reid, L., Pagnozzi, A., Fiori, S., Boyd, Roslyn, Dowson, N., Rose, S.

    Published 2017
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  2. 2
    Expectation-Maximization with Image-Weighted Markov Random Fields to Handle Severe Pathology

    Expectation-Maximization with Image-Weighted Markov Random Fields to Handle Severe Pathology by Pagnozzi, A., Dowson, N., Bradley, A., Boyd, Roslyn, Bourgeat, P., Rose, S.

    Published 2016
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  3. 3
    Identifying relevant biomarkers of brain injury from structural MRI: Validation using automated approaches in children with unilateral cerebral palsy

    Identifying relevant biomarkers of brain injury from structural MRI: Validation using automated approaches in children with unilateral cerebral palsy by Pagnozzi, A., Dowson, N., Doecke, J., Fiori, S., Bradley, A., Boyd, Roslyn, Rose, S.

    Published 2017
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  4. 4
    Alterations in regional shape on ipsilateral and contralateral cortex contrast in children with unilateral cerebral palsy and are predictive of multiple outcomes

    Alterations in regional shape on ipsilateral and contralateral cortex contrast in children with unilateral cerebral palsy and are predictive of multiple outcomes by Pagnozzi, A., Dowson, N., Fiori, S., Doecke, J., Bradley, A., Boyd, Roslyn, Rose, S.

    Published 2016
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  5. 5
    Automated, quantitative measures of grey and white matter lesion burden correlates with motor and cognitive function in children with unilateral cerebral palsy

    Automated, quantitative measures of grey and white matter lesion burden correlates with motor and cognitive function in children with unilateral cerebral palsy by Pagnozzi, A., Dowson, N., Doecke, J., Fiori, S., Bradley, A., Boyd, Roslyn, Rose, S.

    Published 2016
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  6. 6
    The need for improved brain lesion segmentation techniques for children with cerebral palsy: A review

    The need for improved brain lesion segmentation techniques for children with cerebral palsy: A review by Pagnozzi, A., Gal, Y., Boyd, Roslyn, Fiori, S., Fripp, J., Rose, S., Dowson, N.

    Published 2015
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  7. 7
    Using ventricular modeling to robustly probe significant deep gray matter pathologies: Application to cerebral palsy

    Using ventricular modeling to robustly probe significant deep gray matter pathologies: Application to cerebral palsy by Pagnozzi, A., Shen, K., Doecke, J., Boyd, Roslyn, Bradley, A., Rose, S., Dowson, N.

    Published 2016
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  8. 8
    Investigating brain age deviation in preterm infants: A deep learning approach

    Investigating brain age deviation in preterm infants: A deep learning approach by Saha, S., Pagnozzi, A., George, J., Colditz, P., Boyd, Roslyn, Rose, S., Fripp, J., Pannek, K.

    Published 2018
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  9. 9
    Optimization of MRI-based scoring scales of brain injury severity in children with unilateral cerebral palsy

    Optimization of MRI-based scoring scales of brain injury severity in children with unilateral cerebral palsy by Pagnozzi, A., Fiori, S., Boyd, Roslyn, Guzzetta, A., Doecke, J., Gal, Y., Rose, S., Dowson, N.

    Published 2016
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  10. 10
    Brain lesion scores obtained using a simple semi-quantitative scale from MR imaging are associated with motor function, communication and cognition in dyskinetic cerebral palsy

    Brain lesion scores obtained using a simple semi-quantitative scale from MR imaging are associated with motor function, communication and cognition in dyskinetic cerebral palsy by Laporta-Hoyos, O., Fiori, S., Pannek, K., Ballester-Plané, J., Leiva, D., Reid, L., Pagnozzi, A., Vázquez, Élida, Delgado, I., Macaya, A., Pueyo, R., Boyd, Roslyn

    Published 2018
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