Article Information
History
- April 25, 2020.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- Antonio Di Ieva1,2,3,*,
- Carlo Russo1,2,
- Pierre-Jean Le Reste4,
- John S. Magnussen1,5 and
- Gillian Heller6
- 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
- 4Department of Neurosurgery, University Hospital, Rennes, France
- 5Macquarie Medical Imaging, Macquarie University, Sydney, New South Wales, Australia
- 6Department of Statistics, Macquarie University, Sydney, NSW, Australia
- ↵*Corresponding Author:
Prof. Antonio Di Ieva, MD, PhD, FRACS, Macquarie Neurosurgery, Level 2, Suite 201, 2 Technology Place, Macquarie University, NSW 2109 - Australia, Email: antonio.diieva{at}mq.edu.au
Antonio Di Ieva and Carlo Russo contributed equally to this work.
Posted April 25, 2020.
Advanced computational and statistical multiparametric analysis of Susceptibility-Weighted Imaging to characterize gliomas and brain metastases
