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Advanced computational and statistical multiparametric analysis of Susceptibility-Weighted Imaging to characterize gliomas and brain metastases

View ORCID ProfileAntonio Di Ieva, View ORCID ProfileCarlo Russo, View ORCID ProfilePierre-Jean Le Reste, View ORCID ProfileJohn S. Magnussen, View ORCID ProfileGillian Heller
doi: https://doi.org/10.1101/2020.04.24.060830
Antonio Di Ieva
1Computational NeuroSurgery (CNS) Lab, Macquarie University, Sydney, NSW, Australia
2Department of Clinical Medicine, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
3Macquarie Neurosurgery, Sydney, Australia
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  • For correspondence: antonio.diieva@mq.edu.au
Carlo Russo
1Computational NeuroSurgery (CNS) Lab, Macquarie University, Sydney, NSW, Australia
2Department of Clinical Medicine, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
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Pierre-Jean Le Reste
4Department of Neurosurgery, University Hospital, Rennes, France
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John S. Magnussen
1Computational NeuroSurgery (CNS) Lab, Macquarie University, Sydney, NSW, Australia
5Macquarie Medical Imaging, Macquarie University, Sydney, New South Wales, Australia
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Gillian Heller
6Department of Statistics, Macquarie University, Sydney, NSW, Australia
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  • ORCID record for Gillian Heller
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Posted April 25, 2020.
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Advanced computational and statistical multiparametric analysis of Susceptibility-Weighted Imaging to characterize gliomas and brain metastases
Antonio Di Ieva, Carlo Russo, Pierre-Jean Le Reste, John S. Magnussen, Gillian Heller
bioRxiv 2020.04.24.060830; doi: https://doi.org/10.1101/2020.04.24.060830
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Advanced computational and statistical multiparametric analysis of Susceptibility-Weighted Imaging to characterize gliomas and brain metastases
Antonio Di Ieva, Carlo Russo, Pierre-Jean Le Reste, John S. Magnussen, Gillian Heller
bioRxiv 2020.04.24.060830; doi: https://doi.org/10.1101/2020.04.24.060830

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