Emanuele Olivetti
Emanuele Olivetti
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SciPy 1.0: fundamental algorithms for scientific computing in Python
P Virtanen, R Gommers, TE Oliphant, M Haberland, T Reddy, ...
Nature methods 17 (3), 261-272, 2020
Variability in the analysis of a single neuroimaging dataset by many teams
R Botvinik-Nezer, F Holzmeister, CF Camerer, A Dreber, J Huber, ...
Nature 582 (7810), 84-88, 2020
Nusmv 2.4 user manual
R Cavada, A Cimatti, CA Jochim, G Keighren, E Olivetti, M Pistore, ...
CMU and ITC-irst 11, 22-45, 2005
PyMVPA: a unifying approach to the analysis of neuroscientific data
M Hanke, YO Halchenko, PB Sederberg, E Olivetti, I Fründ, JW Rieger, ...
Frontiers in neuroinformatics 3, 337, 2009
The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services
P Avesani, B McPherson, S Hayashi, CF Caiafa, R Henschel, ...
Scientific data 6 (1), 69, 2019
Principal component analysis and cluster analysis for measuring the local organisation of human atrial fibrillation
L Faes, G Nollo, M Kirchner, E Olivetti, F Gaita, R Riccardi, R Antolini
Medical and Biological Engineering and Computing 39, 656-663, 2001
Photogrammetry of the human brain: a novel method for three-dimensional quantitative exploration of the structural connectivity in neurosurgery and neurosciences
A De Benedictis, E Nocerino, F Menna, F Remondino, M Barbareschi, ...
World neurosurgery 115, e279-e291, 2018
NuSMV 2.2 Tutorial
R Cavada, A Cimatti, G Keighren, E Olivetti, M Pistore, M Roveri
ITC-irst-Via Sommarive 18, 38055, 2004
MEG decoding across subjects
E Olivetti, SM Kia, P Avesani
2014 International Workshop on Pattern Recognition in Neuroimaging, 1-4, 2014
Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation
G Bertò, D Bullock, P Astolfi, S Hayashi, L Zigiotto, L Annicchiarico, ...
NeuroImage 224, 117402, 2021
ADHD diagnosis from multiple data sources with batch effects
E Olivetti, S Greiner, P Avesani
Frontiers in systems neuroscience 6, 70, 2012
Bayesian hypothesis testing for pattern discrimination in brain decoding
E Olivetti, S Veeramachaneni, E Nowakowska
Pattern Recognition 45 (6), 2075-2084, 2012
Dipy–a novel software library for diffusion MR and tractography
E Garyfallidis, M Brett, B Amirbekian, C Nguyen, FC Yeh, Y Halchenko, ...
17th annual meeting of the organization for human brain mapping, 1-5, 2011
Classification of multichannel signals with cumulant-based kernels
M Signoretto, E Olivetti, L De Lathauwer, JAK Suykens
IEEE Transactions on Signal Processing 60 (5), 2304-2314, 2012
Brain decoding: biases in error estimation
E Olivetti, A Mognon, S Greiner, P Avesani
2010 First Workshop on Brain Decoding: Pattern Recognition Challenges in …, 2010
Tractogram filtering of anatomically non-plausible fibers with geometric deep learning
P Astolfi, R Verhagen, L Petit, E Olivetti, J Masci, D Boscaini, P Avesani
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
The approximation of the dissimilarity projection
E Olivetti, TB Nguyen, E Garyfallidis
2012 Second International Workshop on Pattern Recognition in NeuroImaging, 85-88, 2012
Intercepting the first pass: rapid categorization is suppressed for unseen stimuli
LN Kaunitz, JE Kamienkowski, E Olivetti, B Murphy, P Avesani, ...
Frontiers in psychology 2, 198, 2011
Inferring cognition from fMRI brain images
D Sona, S Veeramachaneni, E Olivetti, P Avesani
International Conference on Artificial Neural Networks, 869-878, 2007
Comparison of distances for supervised segmentation of white matter tractography
E Olivetti, G Berto, P Gori, N Sharmin, P Avesani
2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2017
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