Emanuele Olivetti

According to our database, Emanuele Olivetti authored at least 43 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Supervised tractogram filtering using Geometric Deep Learning.

Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani

Medical Image Anal., December, 2023

brainlife.io: A decentralized and open source cloud platform to support neuroscience research.

Soichi Hayashi, Bradley Caron, Anibal Sólon Heinsfeld, Sophia Vinci-Booher, Brent C. McPherson, Daniel N. Bullock, Giulia Berto, J. Guiomar Niso, Sandra Hanekamp, Daniel Levitas, Lindsey Kitchell, Josiah Leong, Filipi N. Silva, Serge Koudoro, Hanna Willis, Jasleen Jolly, Derek Pisner, Taylor Zuidema, Jan Kurzwaski, Koulla Mikellidou, Aurore Bussalb, Christopher Rorden, Conner Victory, Dheeraj Bhatia, Dogu Baran Aydogan, Frank C. Yeh, Franco Delogu, Javier Guaje, Jelle Veraart, Jeremy Fischer, Joshua Faskowitz, Maximilien Chaumon, Ricardo Fabrega, David Hunt, Shawn McKee, Shaw T. Brown, Stephanie Heyman, Vittorio Iacovella, Amanda Mejia, Daniele Marinazzo, R. Cameron Craddock, Emanuele Olivetti, Jamie Hanson, Paolo Avesani, Eleftherios Garyfallidis, Daniel Stanzione, James P. Carson, Robert Henschel, David Y. Hancock, Craig A. Stewart, David M. Schnyer, Damian Eke, Russell A. Poldrack, Nathalie George, Holly Bridge, Ilaria Sani, Winrich Freiwald, Aina Puce, Nicholas Port, Franco Pestilli

CoRR, 2023

How Does White Matter Registration Affect Tractography Alignment?

Gabriele Amorosino, Emanuele Olivetti, Jorge Jovicich, Paolo Avesani

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

pyRiemann/pyRiemann: v0.3.

Alexandre Barachant, Quentin Barthélemy, Jean-Rémi King, Alexandre Gramfort, Sylvain Chevallier, Pedro L. C. Rodrigues, Emanuele Olivetti, Vladislav Goncharenko, Gabriel Wagner vom Berg, Ghiles Reguig, Arthur Lebeurrier, Erik Bjäreholt, Maria Sayu Yamamoto, Pierre Clisson, Marie-Constance Corsi

Dataset, July, 2022

Supplementary Material: Design of experiment rational optimization of an inkjet deposition of silver on Kapton.

Alessio Bucciarelli, Emanuele Olivetti, Andrea Adami, Leandro Lorenzelli

Dataset, May, 2022

DBB - A Distorted Brain Benchmark for Automatic Tissue Segmentation in Paediatric Patients.

Gabriele Amorosino, Denis Peruzzo, Daniela Redaelli, Emanuele Olivetti, Filippo Arrigoni, Paolo Avesani

NeuroImage, 2022

2021

Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation.

Giulia Bertò, Daniel Bullock, Pietro Astolfi, Soichi Hayashi, Luca Zigiotto, Luciano Annicchiarico, Francesco Corsini, Alessandro De Benedictis, Silvio Sarubbo, Franco Pestilli, Paolo Avesani, Emanuele Olivetti

NeuroImage, 2021

2020

Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem.

Emanuele Olivetti, Pietro Gori, Pietro Astolfi, Giulia Bertò, Paolo Avesani

Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020

Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning.

Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy.

Gabriele Amorosino, Denis Peruzzo, Pietro Astolfi, Daniela Redaelli, Paolo Avesani, Filippo Arrigoni, Emanuele Olivetti

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

A Stem-Based Dissection of Inferior Fronto-Occipital Fasciculus with A Deep Learning Model.

Pietro Astolfi, Alessandro De Benedictis, Silvio Sarubbo, Giulia Berto, Emanuele Olivetti, Diego Sona, Paolo Avesani

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

A Test for Shared Patterns in Cross-modal Brain Activation Analysis.

Elena Kalinina, Fabian Pedregosa, Vittorio Iacovella, Emanuele Olivetti, Paolo Avesani

CoRR, 2019

Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation.

Giulia Bertò, Paolo Avesani, Franco Pestilli, Daniel Bullock, Bradley Caron, Emanuele Olivetti

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Classification-Based Prediction of Effective Connectivity Between Timeseries With a Realistic Cortical Network Model.

Emanuele Olivetti, Danilo Benozzo, Jan Bím, Stefano Panzeri, Paolo Avesani

Frontiers Comput. Neurosci., 2018

2017

Supervised Estimation of Granger-Based Causality between Time Series.

Danilo Benozzo, Emanuele Olivetti, Paolo Avesani

Frontiers Neuroinformatics, 2017

Comparison of distances for supervised segmentation of white matter tractography.

Emanuele Olivetti, Giulia Berto, Pietro Gori, Nusrat Sharmin, Paolo Avesani

Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017

2016

Classification-based tests for neuroimaging data analysis: comparison of best practices.

Muhaddisa Barat Ali, Emanuele Olivetti

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

2015

Tractome: a visual data mining tool for brain connectivity analysis.

Diana Porro-Muñoz, Emanuele Olivetti, Nusrat Sharmin, Thien Bao Nguyen, Eleftherios Garyfallidis, Paolo Avesani

Data Min. Knowl. Discov., 2015

The Approximation of the Dissimilarity Projection.

Emanuele Olivetti, Thien Bao Nguyen, Paolo Avesani

CoRR, 2015

Statistical independence for the evaluation of classifier-based diagnosis.

Emanuele Olivetti, Susanne Greiner, Paolo Avesani

Brain Informatics, 2015

A Bayesian Test for Comparing Classifier Errors.

Emanuele Olivetti, Dirk B. Walther

Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

Tractography Mapping for Dissimilarity Space across Subjects.

Paolo Avesani, Thien Bao Nguyen, Nivedita Agarwal, Mark Bromberg, Lubdha Shah, Emanuele Olivetti

Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

2014

MEG decoding across subjects.

Emanuele Olivetti, Seyed Mostafa Kia, Paolo Avesani

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Sensor-level maps with the kernel two-sample test.

Emanuele Olivetti, Seyed Mostafa Kia, Paolo Avesani

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Mapping Tractography Across Subjects.

Thien Bao Nguyen, Emanuele Olivetti, Paolo Avesani

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

Multi-Task Learning for Interpretation of Brain Decoding Models.

Seyed Mostafa Kia, Sandro Vega-Pons, Emanuele Olivetti, Paolo Avesani

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

Classification-Based Causality Detection in Time Series.

Danilo Benozzo, Emanuele Olivetti, Paolo Avesani

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

2013

Fast Clustering for Interactive Tractography Segmentation.

Emanuele Olivetti, Thien Bao Nguyen, Eleftherios Garyfallidis, Nivedita Agarwal, Paolo Avesani

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

The Kernel Two-Sample Test vs. Brain Decoding.

Emanuele Olivetti, Danilo Benozzo, Seyed Mostafa Kia, Marta Ellero, Thomas Hartmann

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Discrete Cosine Transform for MEG Signal Decoding.

Seyed Mostafa Kia, Emanuele Olivetti, Paolo Avesani

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

2012

Classification of Multichannel Signals With Cumulant-Based Kernels.

Marco Signoretto, Emanuele Olivetti, Lieven De Lathauwer, Johan A. K. Suykens

IEEE Trans. Signal Process., 2012

Bayesian hypothesis testing for pattern discrimination in brain decoding.

Emanuele Olivetti, Sriharsha Veeramachaneni, Ewa Nowakowska

Pattern Recognit., 2012

The Approximation of the Dissimilarity Projection.

Emanuele Olivetti, Thien Bao Nguyen, Eleftherios Garyfallidis

Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Testing Multiclass Pattern Discrimination.

Emanuele Olivetti, Susanne Greiner, Paolo Avesani

Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

2011

Supervised Segmentation of Fiber Tracts.

Emanuele Olivetti, Paolo Avesani

Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

Testing for Information with Brain Decoding.

Emanuele Olivetti, Sriharsha Veeramachaneni, Paolo Avesani

Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011

Induction in Neuroscience with Classification: Issues and Solutions.

Emanuele Olivetti, Susanne Greiner, Paolo Avesani

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

2010

Brain connectivity analysis by reduction to pair classification.

Emanuele Olivetti, Sriharsha Veeramachaneni, Susanne Greiner, Paolo Avesani

Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009

Learning to Interpret Cognitive States from fMRI Brain Images.

Diego Sona, Emanuele Olivetti, Paolo Avesani, Sriharsha Veeramachaneni

Proceedings of the Computational Intelligence and Bioengineering, 2009

PyMVPA: a unifying approach to the analysis of neuroscientific data.

Michael Hanke, Yaroslav O. Halchenko, Per B. Sederberg, Emanuele Olivetti, Ingo Fründ, Jochem W. Rieger, Christoph S. Herrmann, James V. Haxby, Stephen José Hanson, Stefan Pollmann

Frontiers Neuroinformatics, 2009

2007

Inferring Cognition from fMRI Brain Images.

Diego Sona, Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani

Proceedings of the Artificial Neural Networks, 2007

2006

Active sampling for detecting irrelevant features.

Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani

Proceedings of the Machine Learning, 2006

2005

Active Sampling for Knowledge Discovery from Biomedical Data.

Sriharsha Veeramachaneni, Francesca Demichelis, Emanuele Olivetti, Paolo Avesani

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005