1 code implementation • 6 Dec 2022 • Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani
A tractogram is a virtual representation of the brain white matter.
no code implementations • 24 Mar 2020 • Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani
The intuitive idea is to model a fiber as a point cloud and the goal is to investigate whether and how a geometric deep learning model might capture its anatomical properties.
no code implementations • 24 Mar 2020 • Gabriele Amorosino, Denis Peruzzo, Pietro Astolfi, Daniela Redaelli, Paolo Avesani, Filippo Arrigoni, Emanuele Olivetti
Brains with complex distortion of cerebral anatomy present several challenges to automatic tissue segmentation methods of T1-weighted MR images.
1 code implementation • 8 Oct 2019 • Elena Kalinina, Fabian Pedregosa, Vittorio Iacovella, Emanuele Olivetti, Paolo Avesani
In the last decade, the identification of shared activity patterns has been mostly framed as a supervised learning problem.
no code implementations • 16 Jul 2019 • Giulia Bertò, Paolo Avesani, Franco Pestilli, Daniel Bullock, Bradley Caron, Emanuele Olivetti
Segmenting white matter bundles from human tractograms is a task of interest for several applications.
1 code implementation • 4 Aug 2017 • Emanuele Olivetti, Giulia Bertò, Pietro Gori, Nusrat Sharmin, Paolo Avesani
For these reasons, in this work we compare many streamline distance functions available in the literature.
no code implementations • 29 Jan 2016 • Thien Bao Nguyen, Emanuele Olivetti, Paolo Avesani
Diffusion magnetic resonance imaging (dMRI) and tractography provide means to study the anatomical structures within the white matter of the brain.
1 code implementation • 19 Nov 2015 • Emanuele Olivetti, Sandro Vega-Pons, Paolo Avesani
In clinical and neuroscientific studies, systematic differences between two populations of brain networks are investigated in order to characterize mental diseases or processes.
1 code implementation • 2 Apr 2015 • Emanuele Olivetti, Thien Bao Nguyen, Paolo Avesani
We investigate the degree of approximation of this projection under different prototype selection policies and prototype set sizes in order to characterise its use on tractography data.
no code implementations • 16 Apr 2014 • Emanuele Olivetti, Seyed Mostafa Kia, Paolo Avesani
On a face vs. scramble task MEG dataset of 16 subjects, we compare the standard approach of not modelling the differences across subjects, to the proposed one of combining TTL and ensemble learning.