Emanuele Olivetti

48 papers A* 1Journal 20Unranked 26

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Covariance-based decoding reveals a category-specific functional connectivity network for imagined visual objects. NeuroImage Francesco Mantegna, Emanuele Olivetti, Philipp Schwedhelm, Daniel Baldauf
2023	—	`conf`	How Does White Matter Registration Affect Tractography Alignment? ISBI Gabriele Amorosino, Emanuele Olivetti, Jorge Jovicich, Paolo Avesani
2023	J	`jnl`	Supervised tractogram filtering using Geometric Deep Learning. Medical Image Anal. Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani
2023	J	`jnl`	brainlife.io: A decentralized and open source cloud platform to support neuroscience research. CoRR 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
2022	J	`jnl`	DBB - A Distorted Brain Benchmark for Automatic Tissue Segmentation in Paediatric Patients. NeuroImage Gabriele Amorosino, Denis Peruzzo, Daniela Redaelli, Emanuele Olivetti, Filippo Arrigoni, Paolo Avesani
2022	J	`jnl`	Supervised Tractogram Filtering using Geometric Deep Learning. CoRR Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani
2021	J	`jnl`	Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation. NeuroImage 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
2020	—	`conf`	A Stem-Based Dissection of Inferior Fronto-Occipital Fasciculus with A Deep Learning Model. ISBI Pietro Astolfi, Alessandro De Benedictis, Silvio Sarubbo, Giulia Berto, Emanuele Olivetti, Diego Sona, Paolo Avesani
2020	—	`conf`	Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy. MLCN/RNO-AI@MICCAI Gabriele Amorosino, Denis Peruzzo, Pietro Astolfi, Daniela Redaelli, Paolo Avesani, Filippo Arrigoni, Emanuele Olivetti
2020	—	`conf`	Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem. WBIR Emanuele Olivetti, Pietro Gori, Pietro Astolfi, Giulia Bertò, Paolo Avesani
2020	—	`conf`	Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning. MICCAI (7) Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani
2020	J	`jnl`	Tractogram filtering of anatomically non-plausible fibers with geometric deep learning. CoRR Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Jonathan Masci, Davide Boscaini, Paolo Avesani
2019	J	`jnl`	A Test for Shared Patterns in Cross-modal Brain Activation Analysis. CoRR Elena Kalinina, Fabian Pedregosa, Vittorio Iacovella, Emanuele Olivetti, Paolo Avesani
2019	—	`conf`	Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation. ISBI Giulia Bertò, Paolo Avesani, Franco Pestilli, Daniel Bullock, Bradley Caron, Emanuele Olivetti
2019	J	`jnl`	Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation. CoRR Giulia Bertò, Paolo Avesani, Franco Pestilli, Daniel Bullock, Bradley Caron, Emanuele Olivetti
2018	J	`jnl`	Classification-Based Prediction of Effective Connectivity Between Timeseries With a Realistic Cortical Network Model. Frontiers Comput. Neurosci. Emanuele Olivetti, Danilo Benozzo, Jan Bím, Stefano Panzeri, Paolo Avesani
2017	—	`conf`	Comparison of distances for supervised segmentation of white matter tractography. PRNI Emanuele Olivetti, Giulia Berto, Pietro Gori, Nusrat Sharmin, Paolo Avesani
2017	J	`jnl`	Supervised Estimation of Granger-Based Causality between Time Series. Frontiers Neuroinformatics Danilo Benozzo, Emanuele Olivetti, Paolo Avesani
2016	—	`conf`	Classification-based tests for neuroimaging data analysis: comparison of best practices. PRNI Muhaddisa Barat Ali, Emanuele Olivetti
2016	J	`jnl`	Mapping Tractography Across Subjects. CoRR Bao Nguyen Thien, Emanuele Olivetti, Paolo Avesani
2015	—	`conf`	A Bayesian Test for Comparing Classifier Errors. PRNI Emanuele Olivetti, Dirk B. Walther
2015	J	`jnl`	Statistical independence for the evaluation of classifier-based diagnosis. Brain Informatics Emanuele Olivetti, Susanne Greiner, Paolo Avesani
2015	J	`jnl`	The Approximation of the Dissimilarity Projection. CoRR Emanuele Olivetti, Bao Nguyen Thien, Paolo Avesani
2015	—	`conf`	Tractography Mapping for Dissimilarity Space across Subjects. PRNI Paolo Avesani, Bao Nguyen Thien, Nivedita Agarwal, Mark Bromberg, Lubdha Shah, Emanuele Olivetti
2015	J	`jnl`	Tractome: a visual data mining tool for brain connectivity analysis. Data Min. Knowl. Discov. Diana Porro-Muñoz, Emanuele Olivetti, Nusrat Sharmin, Bao Nguyen Thien, Eleftherios Garyfallidis, Paolo Avesani
2014	—	`conf`	Classification-Based Causality Detection in Time Series. MLINI@NIPS Danilo Benozzo, Emanuele Olivetti, Paolo Avesani
2014	J	`jnl`	MEG Decoding Across Subjects. CoRR Emanuele Olivetti, Seyed Mostafa Kia, Paolo Avesani
2014	—	`conf`	MEG decoding across subjects. PRNI Emanuele Olivetti, Seyed Mostafa Kia, Paolo Avesani
2014	—	`conf`	Mapping Tractography Across Subjects. MLINI@NIPS Bao Nguyen Thien, Emanuele Olivetti, Paolo Avesani
2014	—	`conf`	Multi-Task Learning for Interpretation of Brain Decoding Models. MLINI@NIPS Seyed Mostafa Kia, Sandro Vega-Pons, Emanuele Olivetti, Paolo Avesani
2014	—	`conf`	Sensor-level maps with the kernel two-sample test. PRNI Emanuele Olivetti, Seyed Mostafa Kia, Paolo Avesani
2013	—	`conf`	Discrete Cosine Transform for MEG Signal Decoding. PRNI Seyed Mostafa Kia, Emanuele Olivetti, Paolo Avesani
2013	—	`conf`	Fast Clustering for Interactive Tractography Segmentation. PRNI Emanuele Olivetti, Bao Nguyen Thien, Eleftherios Garyfallidis, Nivedita Agarwal, Paolo Avesani
2013	—	`conf`	The Kernel Two-Sample Test vs. Brain Decoding. PRNI Emanuele Olivetti, Danilo Benozzo, Seyed Mostafa Kia, Marta Ellero, Thomas Hartmann
2012	J	`jnl`	Bayesian hypothesis testing for pattern discrimination in brain decoding. Pattern Recognit. Emanuele Olivetti, Sriharsha Veeramachaneni, Ewa Nowakowska
2012	J	`jnl`	Classification of Multichannel Signals With Cumulant-Based Kernels. IEEE Trans. Signal Process. Marco Signoretto, Emanuele Olivetti, Lieven De Lathauwer, Johan A. K. Suykens
2012	—	`conf`	Testing Multiclass Pattern Discrimination. PRNI Emanuele Olivetti, Susanne Greiner, Paolo Avesani
2012	—	`conf`	The Approximation of the Dissimilarity Projection. PRNI Emanuele Olivetti, Bao Nguyen Thien, Eleftherios Garyfallidis
2011	—	`conf`	Induction in Neuroscience with Classification: Issues and Solutions. MLINI Emanuele Olivetti, Susanne Greiner, Paolo Avesani
2011	—	`conf`	Supervised Segmentation of Fiber Tracts. SIMBAD Emanuele Olivetti, Paolo Avesani
2011	—	`conf`	Testing for Information with Brain Decoding. PRNI Emanuele Olivetti, Sriharsha Veeramachaneni, Paolo Avesani
2010	—	`conf`	Brain connectivity analysis by reduction to pair classification. CIP Emanuele Olivetti, Sriharsha Veeramachaneni, Susanne Greiner, Paolo Avesani
2009	—	`ch.`	Learning to Interpret Cognitive States from fMRI Brain Images. Computational Intelligence and Bioengineering Diego Sona, Emanuele Olivetti, Paolo Avesani, Sriharsha Veeramachaneni
2009	J	`jnl`	PyMVPA: a unifying approach to the analysis of neuroscientific data. Frontiers Neuroinformatics 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
2007	—	`conf`	Inferring Cognition from fMRI Brain Images. ICANN (2) Diego Sona, Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani
2006	A*	`conf`	Active sampling for detecting irrelevant features. ICML Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani
2005	—	`conf`	Active Sampling for Knowledge Discovery from Biomedical Data. PKDD Sriharsha Veeramachaneni, Francesca Demichelis, Emanuele Olivetti, Paolo Avesani
2004	J	`jnl`	Active sampling for data mining. Res. Comput. Sci. Emanuele Olivetti, Paolo Avesani