Emanuele Olivetti

发表

Tractome: a visual data mining tool for brain connectivity analysis

Paolo Avesani, Diana Porro-Muñoz, Emanuele Olivetti, 2015, Data Mining and Knowledge Discovery.

Mapping Tractography Across Subjects pdf

Paolo Avesani, Emanuele Olivetti, Thien Bao Nguyen, 2014, MLINI@NIPS.

Alignment of Tractograms As Graph Matching

Paolo Avesani, Emanuele Olivetti, Nusrat Sharmin, 2016, Front. Neurosci..

Multi-Task Learning for Interpretation of Brain Decoding Models

Sandro Vega-Pons, Paolo Avesani, Emanuele Olivetti, 2014, MLINI@NIPS.

Statistical independence for the evaluation of classifier-based diagnosis

Paolo Avesani, Emanuele Olivetti, Susanne Greiner, 2014, Brain Informatics.

The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services

Andrew J. Saykin, Daniel Bullock, Olaf Sporns, 2018, Scientific Data.

Supervised Segmentation of Fiber Tracts

Paolo Avesani, Emanuele Olivetti, P. Avesani, 2011, SIMBAD.

Multiple-Scale Visualization of Large Data Based on Hierarchical Clustering

Paolo Avesani, Emanuele Olivetti, Bao T. Nguyen, 2014 .

Inferring Cognition from fMRI Brain Images

Diego Sona, Paolo Avesani, Emanuele Olivetti, 2007, ICANN.

Neuroinformatics Original Research Article Pymvpa: a Unifying Approach to the Analysis of Neuroscientifi C Data

Stefan Pollmann, Yaroslav O. Halchenko, Per B. Sederberg, 2022 .

Learning to Interpret Cognitive States from fMRI Brain Images

Diego Sona, Paolo Avesani, Emanuele Olivetti, 2009, Computational Intelligence and Bioengineering.

Brain Decoding: Biases in Error Estimation

Paolo Avesani, Emanuele Olivetti, Susanne Greiner, 2010, 2010 First Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging.

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

Stefano Panzeri, Paolo Avesani, Emanuele Olivetti, 2018, Front. Comput. Neurosci..

Classification-Based Causality Detection in Time Series

Paolo Avesani, Emanuele Olivetti, Danilo Benozzo, 2014, MLINI@NIPS.

Induction in Neuroscience with Classification: Issues and Solutions

Paolo Avesani, Emanuele Olivetti, Susanne Greiner, 2011, MLINI.

Fast Clustering for Interactive Tractography Segmentation

Paolo Avesani, Nivedita Agarwal, Emanuele Olivetti, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Active Sampling for Data Mining

Paolo Avesani, Emanuele Olivetti, P. Avesani, 2004 .

White Matter Tract Segmentation as Multiple Linear Assignment Problems

Paolo Avesani, Emanuele Olivetti, Nusrat Sharmin, 2018, Front. Neurosci..

Testing for Information with Brain Decoding

Paolo Avesani, Emanuele Olivetti, Sriharsha Veeramachaneni, 2011, 2011 International Workshop on Pattern Recognition in NeuroImaging.

ADHD diagnosis from multiple data sources with batch effects

Paolo Avesani, Emanuele Olivetti, Susanne Greiner, 2012, Front. Syst. Neurosci..

Variability in the analysis of a single neuroimaging dataset by many teams

Bradley C. Love, Luca Turella, Brice A. Kuhl, 2019, Nature.

Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem

Paolo Avesani, Emanuele Olivetti, Pietro Gori, 2020, WBIR.

Active Learning of Feature Relevance

Paolo Avesani, Emanuele Olivetti, Sriharsha Veeramachaneni, 2007 .

The Kernel Two-Sample Test vs. Brain Decoding

Emanuele Olivetti, Seyed Mostafa Kia, Danilo Benozzo, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

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

Diego Sona, Paolo Avesani, Emanuele Olivetti, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Differential Effects of Brain Disorders on Structural and Functional Connectivity

Angelo Bifone, Alessandro Gozzi, Sandro Vega-Pons, 2017, Front. Neurosci..

Testing Multiclass Pattern Discrimination

Paolo Avesani, Emanuele Olivetti, Susanne Greiner, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

Tractography Mapping for Dissimilarity Space across Subjects

Paolo Avesani, Nivedita Agarwal, Emanuele Olivetti, 2015, 2015 International Workshop on Pattern Recognition in NeuroImaging.

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

Paolo Avesani, Filippo Arrigoni, Emanuele Olivetti, 2020, MLCN/RNO-AI@MICCAI.

Comparison of distances for supervised segmentation of white matter tractography

Pietro Gori, Paolo Avesani, Emanuele Olivetti, 2017, 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Tractogram filtering of anatomically non-plausible fibers with geometric deep learning

Jonathan Masci, Paolo Avesani, Emanuele Olivetti, 2020, MICCAI.

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

Daniel Bullock, Paolo Avesani, Franco Pestilli, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

MEG decoding across subjects

Paolo Avesani, Emanuele Olivetti, Seyed Mostafa Kia, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

The Approximation of the Dissimilarity Projection

Emanuele Olivetti, Thien Bao Nguyen, Eleftherios Garyfallidis, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

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

Daniel Bullock, Paolo Avesani, Franco Pestilli, 2020, NeuroImage.

Sensor-level maps with the kernel two-sample test

Paolo Avesani, Emanuele Olivetti, Seyed Mostafa Kia, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

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

Paolo Avesani, Emanuele Olivetti, Fabian Pedregosa, 2019, ArXiv.

A Bayesian Test for Comparing Classifier Errors

Emanuele Olivetti, Dirk Bernhardt-Walther, 2015, 2015 International Workshop on Pattern Recognition in NeuroImaging.

Active sampling for detecting irrelevant features

Paolo Avesani, Emanuele Olivetti, Sriharsha Veeramachaneni, 2006, ICML.

Active Sampling for Knowledge Discovery from Biomedical Data

Paolo Avesani, Emanuele Olivetti, Sriharsha Veeramachaneni, 2005, PKDD.

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

Daniel Bullock, Paolo Avesani, Franco Pestilli, 2020, NeuroImage.

Bayesian estimation of directed functional coupling from brain recordings

Paolo Avesani, Emanuele Olivetti, Pasi Jylänki, 2017, PloS one.

Discrete Cosine Transform for MEG Signal Decoding

Paolo Avesani, Emanuele Olivetti, Seyed Mostafa Kia, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Alignment of Tractograms as Linear Assignment Problem

Paolo Avesani, Emanuele Olivetti, Nusrat Sharmin, 2016 .

Brain connectivity analysis by reduction to pair classification

Paolo Avesani, Emanuele Olivetti, Sriharsha Veeramachaneni, 2010, 2010 2nd International Workshop on Cognitive Information Processing.

Bayesian hypothesis testing for pattern discrimination in brain decoding

Emanuele Olivetti, Sriharsha Veeramachaneni, Ewa Nowakowska, 2012, Pattern Recognit..

Supervised Estimation of Granger-Based Causality between Time Series

Paolo Avesani, Emanuele Olivetti, Danilo Benozzo, 2017, Front. Neuroinform..

The Kernel Two-Sample Test for Brain Networks

Sandro Vega-Pons, Paolo Avesani, Emanuele Olivetti, 2015, 1511.06120.

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

Emanuele Olivetti, Muhaddisa Barat Ali, E. Olivetti, 2016, 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Classification of Multichannel Signals With Cumulant-Based Kernels

Johan A. K. Suykens, Marco Signoretto, Lieven De Lathauwer, 2012, IEEE Transactions on Signal Processing.

Photogrammetry of the Human Brain: A Novel Method for Three-Dimensional Quantitative Exploration of the Structural Connectivity in Neurosurgery and Neurosciences.

Fabio Menna, Erica Nocerino, Fabio Remondino, 2018, World neurosurgery.

APPLICATION OF PHOTOGRAMMETRY TO BRAIN ANATOMY

Fabio Menna, Erica Nocerino, Fabio Remondino, 2017 .