Emanuele Olivetti

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 24

Top Topics

Diffusion Tensor Mri

Tissue Segmentation

Corpus Callosum

Top Venues

Publications

Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani
Supervised tractogram filtering using Geometric Deep Learning. Medical Image Anal. 90 (2023)
Soichi Hayashi, Bradley Caron, Anibal Solon 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
brainlife.io: A decentralized and open source cloud platform to support neuroscience research. CoRR (2023)
Gabriele Amorosino, Emanuele Olivetti, Jorge Jovicich, Paolo Avesani
How Does White Matter Registration Affect Tractography Alignment? ISBI (2023)
Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani
Supervised Tractogram Filtering using Geometric Deep Learning. CoRR (2022)
Gabriele Amorosino, Denis Peruzzo, Daniela Redaelli, Emanuele Olivetti, Filippo Arrigoni, Paolo Avesani
DBB - A Distorted Brain Benchmark for Automatic Tissue Segmentation in Paediatric Patients. NeuroImage 260 (2022)
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
Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation. NeuroImage 224 (2021)
Pietro Astolfi, Alessandro De Benedictis, Silvio Sarubbo, Giulia Berto, Emanuele Olivetti, Diego Sona, Paolo Avesani
A Stem-Based Dissection of Inferior Fronto-Occipital Fasciculus with A Deep Learning Model. ISBI (2020)
Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani
Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning. MICCAI (7) (2020)
Pietro Astolfi, Ruben Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani
Tractogram filtering of anatomically non-plausible fibers with geometric deep learning. CoRR (2020)
Gabriele Amorosino, Denis Peruzzo, Pietro Astolfi, Daniela Redaelli, Paolo Avesani, Filippo Arrigoni, Emanuele Olivetti
Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy. MLCN/RNO-AI@MICCAI (2020)
Emanuele Olivetti, Pietro Gori, Pietro Astolfi, Giulia Bertò, Paolo Avesani
Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem. WBIR (2020)
Giulia Bertò, Paolo Avesani, Franco Pestilli, Daniel Bullock, Bradley Caron, Emanuele Olivetti
Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation. ISBI (2019)
Elena Kalinina, Fabian Pedregosa, Vittorio Iacovella, Emanuele Olivetti, Paolo Avesani
A Test for Shared Patterns in Cross-modal Brain Activation Analysis. CoRR (2019)
Giulia Bertò, Paolo Avesani, Franco Pestilli, Daniel Bullock, Bradley Caron, Emanuele Olivetti
Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation. CoRR (2019)
Emanuele Olivetti, Danilo Benozzo, Jan Bím, Stefano Panzeri, Paolo Avesani
Classification-Based Prediction of Effective Connectivity Between Timeseries With a Realistic Cortical Network Model. Frontiers Comput. Neurosci. 12 (2018)
Danilo Benozzo, Emanuele Olivetti, Paolo Avesani
Supervised Estimation of Granger-Based Causality between Time Series. Frontiers Neuroinformatics 11 (2017)
Emanuele Olivetti, Giulia Berto, Pietro Gori, Nusrat Sharmin, Paolo Avesani
Comparison of distances for supervised segmentation of white matter tractography. PRNI (2017)
Thien Bao Nguyen, Emanuele Olivetti, Paolo Avesani
Mapping Tractography Across Subjects. CoRR (2016)
Muhaddisa Barat Ali, Emanuele Olivetti
Classification-based tests for neuroimaging data analysis: comparison of best practices. PRNI (2016)
Emanuele Olivetti, Thien Bao Nguyen, Paolo Avesani
The Approximation of the Dissimilarity Projection. CoRR (2015)
Diana Porro-Muñoz, Emanuele Olivetti, Nusrat Sharmin, Thien Bao Nguyen, Eleftherios Garyfallidis, Paolo Avesani
Tractome: a visual data mining tool for brain connectivity analysis. Data Min. Knowl. Discov. 29 (5) (2015)
Paolo Avesani, Thien Bao Nguyen, Nivedita Agarwal, Mark Bromberg, Lubdha Shah, Emanuele Olivetti
Tractography Mapping for Dissimilarity Space across Subjects. PRNI (2015)
Emanuele Olivetti, Susanne Greiner, Paolo Avesani
Statistical independence for the evaluation of classifier-based diagnosis. Brain Informatics 2 (1) (2015)
Emanuele Olivetti, Dirk B. Walther
A Bayesian Test for Comparing Classifier Errors. PRNI (2015)
Emanuele Olivetti, Seyed Mostafa Kia, Paolo Avesani
Sensor-level maps with the kernel two-sample test. PRNI (2014)
Thien Bao Nguyen, Emanuele Olivetti, Paolo Avesani
Mapping Tractography Across Subjects. MLINI@NIPS (2014)
Seyed Mostafa Kia, Sandro Vega-Pons, Emanuele Olivetti, Paolo Avesani
Multi-Task Learning for Interpretation of Brain Decoding Models. MLINI@NIPS (2014)
Emanuele Olivetti, Seyed Mostafa Kia, Paolo Avesani
MEG decoding across subjects. PRNI (2014)
Danilo Benozzo, Emanuele Olivetti, Paolo Avesani
Classification-Based Causality Detection in Time Series. MLINI@NIPS (2014)
Emanuele Olivetti, Seyed Mostafa Kia, Paolo Avesani
MEG Decoding Across Subjects. CoRR (2014)
Seyed Mostafa Kia, Emanuele Olivetti, Paolo Avesani
Discrete Cosine Transform for MEG Signal Decoding. PRNI (2013)
Emanuele Olivetti, Thien Bao Nguyen, Eleftherios Garyfallidis, Nivedita Agarwal, Paolo Avesani
Fast Clustering for Interactive Tractography Segmentation. PRNI (2013)
Emanuele Olivetti, Danilo Benozzo, Seyed Mostafa Kia, Marta Ellero, Thomas Hartmann
The Kernel Two-Sample Test vs. Brain Decoding. PRNI (2013)
Emanuele Olivetti, Susanne Greiner, Paolo Avesani
Testing Multiclass Pattern Discrimination. PRNI (2012)
Emanuele Olivetti, Sriharsha Veeramachaneni, Ewa Nowakowska
Bayesian hypothesis testing for pattern discrimination in brain decoding. Pattern Recognit. 45 (6) (2012)
Emanuele Olivetti, Thien Bao Nguyen, Eleftherios Garyfallidis
The Approximation of the Dissimilarity Projection. PRNI (2012)
Marco Signoretto, Emanuele Olivetti, Lieven De Lathauwer, Johan A. K. Suykens
Classification of Multichannel Signals With Cumulant-Based Kernels. IEEE Trans. Signal Process. 60 (5) (2012)
Emanuele Olivetti, Susanne Greiner, Paolo Avesani
Induction in Neuroscience with Classification: Issues and Solutions. MLINI (2011)
Emanuele Olivetti, Sriharsha Veeramachaneni, Paolo Avesani
Testing for Information with Brain Decoding. PRNI (2011)
Emanuele Olivetti, Paolo Avesani
Supervised Segmentation of Fiber Tracts. SIMBAD (2011)
Emanuele Olivetti, Sriharsha Veeramachaneni, Susanne Greiner, Paolo Avesani
Brain connectivity analysis by reduction to pair classification. CIP (2010)
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
PyMVPA: a unifying approach to the analysis of neuroscientific data. Frontiers Neuroinformatics 3 (2009)
Diego Sona, Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani
Inferring Cognition from fMRI Brain Images. ICANN (2) (2007)
Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani
Active sampling for detecting irrelevant features. ICML (2006)
Sriharsha Veeramachaneni, Francesca Demichelis, Emanuele Olivetti, Paolo Avesani
Active Sampling for Knowledge Discovery from Biomedical Data. PKDD (2005)