Short Bio
Marco Castellaro was born in Padova (PD, Italia) on May 1984. He received his bachelor degree in Biomedical Engineering in 2007 and his Master Degree in Bioengineering in 2010, both from University of Padova, Italy. He earned a Ph.D. in Bioengineering under the supervision of Prof. Alessandra Bertoldo with a thesis entitled “Quantitative neuroimaging of perfusion with Arterial Spin Labelling: deconvolution and physiology-based models”. He was a post-doctoral fellow at the Department of Information Engineering, at the Padova Neuroscience Center of the University of Padova and at the Department of Neuroscience, Medicine and movement of the University of Verona.
He is currently a research fellow at the Department of Information Engineering. His research interests mainly include artificial intelligence applied to study sleep and related disorders exploiting both medical images and biomedical signals.
Selected Publications
All Publications
2018
Inflammatory intrathecal profiles and cortical damage in multiple sclerosis Journal Article
In: Annals of Neurology, vol. 83, no. 4, pp. 739-755, 2018.
The effect of fingolimod on focal and diffuse grey matter damage in active MS patients Journal Article
In: Journal of neurology, vol. 265, no. 9, pp. 2154–2161, 2018.
The kinetic of F-18-FDG in lung cancer: compartmental models and voxel analysis Journal Article
In: vol. 8, no. 1, pp. 88, 2018.
2017
Brain PET and functional MRI: why simultaneously using hybrid PET/MR systems? Journal Article
In: The quarterly journal of nuclear medicine and molecular imaging, vol. 61, no. 4, pp. 345—359, 2017, ISSN: 1824-4785.
Cortical thickness variability in multiple sclerosis: the role of lesion segmentation and filling Proceedings Article
In: Proceedings of ISBI, IEEE International Symposium on Biomedical Imaging, IEEE, 2017.
Bayesian quantification of contrast-enhanced ultrasound images with adaptive inclusion of an irreversible component Journal Article
In: IEEE Transactions on Medical Imaging, vol. 36, no. 4, pp. 1027 - 1036, 2017, ISSN: 1558-254X.
Improving the quantification of contrast enhanced ultrasound using a Bayesian approach Conference
SPIE Conference on Medical Imaging, 2017.
Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritis Conference
SPIE Conference on Medical Imaging, 2017.
On the Role of the Inferior Intraparietal Sulcus in Visual Working Memory for Lateralized Single-feature Objects Journal Article
In: J Cogn Neurosci, vol. 29, no. 2, pp. 337–351, 2017.
A Variational Bayesian inference method for parametric imaging of PET data Journal Article
In: Neuroimage, vol. 150, pp. 136–149, 2017.
