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2020 – today
- 2021
[j10]Paolo Soda, Natascha Claudia D'Amico, Jacopo Tessadori, Giovanni Valbusa, Valerio Guarrasi
, Chandra Bortolotto, Muhammad Usman Akbar, Rosa Sicilia, Ermanno Cordelli, Deborah Fazzini, Michaela Cellina, Giancarlo Oliva, Giovanni Callea, Silvia Panella, Maurizio Cariati, Diletta Cozzi, Vittorio Miele, Elvira Stellato, Gianpaolo Carrafiello, Giulia Castorani, Annalisa Simeone, Lorenzo Preda, Giulio Iannello, Alessio Del Bue, Fabio Tedoldi, Marco Alì, Diego Sona, Sergio Papa:
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. Medical Image Anal. 74: 102216 (2021)- [j9]Alessandro Crimi, Luca Dodero, Fabio Sambataro, Vittorio Murino, Diego Sona:
Structurally constrained effective brain connectivity. NeuroImage 239: 118288 (2021) - [c54]Muhammad Usman Akbar, Vittorio Murino, Diego Sona:
Multimodal Segmentation of Medical Images with Heavily Missing Data. BHI 2021: 1-4 - [c53]Simone Monaco, Nicole Bussola, Sara Buttò, Diego Sona, Daniele Apiletti, Giuseppe Jurman, Elisa Viola, Marco Chierici, Christodoulos Xinaris, Vincenzo Viola:
Cyst segmentation on kidney tubules by means of U-Net deep-learning models. IEEE BigData 2021: 3923-3926 - [c52]Jacopo Tessadori, Muhammad Abubakar Yamin, Paola Valsasina, Massimo Filippi, Maria Assunta Rocca, Diego Sona:
Dynamic Functional Connectivity For The Classification Of Multiple Sclerosis Phenotype: A Hidden Markov Model Approach. ISBI 2021: 559-562 - 2020
- [c51]Muhammad Usman Akbar, Muhammad Abubakar Yamin, Vittorio Murino, Diego Sona:
Organ Segmentation with Recursive Data Augmentation for Deep Models. ICPR Workshops (1) 2020: 337-343 - [c50]Avik Hati, Matteo Bustreo, Diego Sona, Vittorio Murino, Alessio Del Bue:
Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans. ICPR 2020: 5565-5572 - [c49]Muhammad Abubakar Yamin, Paola Valsasina, Michael Dayan, Sebastiano Vascon, Jacopo Tessadori, Massimo Filippi, Vittorio Murino, Maria Assunta Rocca, Diego Sona:
Encoding Brain Networks Through Geodesic Clustering of Functional Connectivity for Multiple Sclerosis Classification. ICPR 2020: 10106-10112 - [c48]Muhammad Abubakar Yamin, Jacopo Tessadori, Muhammad Usman Akbar, Michael Dayan, Vittorio Murino, Diego Sona:
Geodesic Clustering of Positive Definite Matrices For Classification of Mental Disorder Using Brain Functional Connectivity. IJCNN 2020: 1-5 - [c47]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: 267-270 - [c46]Shahab Aslani, Vittorio Murino, Michael Dayan, Roger C. Tam, Diego Sona, Ghassan Hamarneh:
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI. ISBI 2020: 781-785 - [i6]Avik Hati, Matteo Bustreo, Diego Sona, Vittorio Murino, Alessio Del Bue:
Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans. CoRR abs/2004.08270 (2020) - [i5]Paolo Soda, Natascha Claudia D'Amico, Jacopo Tessadori, Giovanni Valbusa, Valerio Guarrasi, Chandra Bortolotto, Muhammad Usman Akbar, Rosa Sicilia, Ermanno Cordelli, Deborah Fazzini, Michaela Cellina, Giancarlo Oliva, Giovanni Callea, Silvia Panella, Maurizio Cariati, Diletta Cozzi, Vittorio Miele, Elvira Stellato, Gianpaolo Carrafiello, Giulia Castorani, Annalisa Simeone, Lorenzo Preda, Giulio Iannello, Alessio Del Bue, Fabio Tedoldi, Marco Alì, Diego Sona, Sergio Papa:
AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. CoRR abs/2012.06531 (2020)
2010 – 2019
- 2019
- [j8]Shahab Aslani, Michael Dayan, Loredana Storelli, Massimo Filippi, Vittorio Murino, Maria Assunta Rocca, Diego Sona:
Multi-branch convolutional neural network for multiple sclerosis lesion segmentation. NeuroImage 196: 1-15 (2019) - [c45]Muhammad Abubakar Yamin, Michael Dayan, Letizia Squarcina, Vaibhav A. Diwadkar, Paolo Brambilla, Vittorio Murino, Diego Sona:
Investigating the Impact of Genetic Background on Brain Dynamic Functional Connectivity Through Machine Learning: A Twins Study. BHI 2019: 1-4 - [c44]Muhammad Usman Akbar, Shahab Aslani, Vittorio Murino, Diego Sona:
Multiple Organs Segmentation in Abdomen CT Scans Using a Cascade of CNNs. ICIAP (1) 2019: 509-516 - [c43]A. Yamin, Michael Dayan, Letizia Squarcina, Paolo Brambilla, Vittorio Murino, Vaibhav A. Diwadkar, Diego Sona:
Analysis of Dynamic Brain Connectivity Through Geodesic Clustering. ICIAP (2) 2019: 640-648 - [c42]Abubakar Yamin, Michael Dayan, Letizia Squarcina, Paolo Brambilla, Vittorio Murino, Vaibhav A. Diwadkar, Diego Sona:
Comparison Of Brain Connectomes Using Geodesic Distance On Manifold: A Twins Study. ISBI 2019: 1797-1800 - [i4]A. Yamin, Michael Dayan, Letizia Squarcina, Paolo Brambilla, Vittorio Murino, Vaibhav A. Diwadkar, Diego Sona:
Comparison of brain connectomes using geodesic distance on manifold: a twin study. CoRR abs/1902.01395 (2019) - [i3]Shahab Aslani, Vittorio Murino, Michael Dayan, Roger C. Tam, Diego Sona, Ghassan Hamarneh:
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI. CoRR abs/1910.10035 (2019) - 2018
- [c41]Michael Dayan, Vasiliki-Maria Katsageorgiou, Luca Dodero, Vittorio Murino, Diego Sona:
Unsupervised Detection of White Matter Fiber Bundles with Stochastic Neural Networks. ICIP 2018: 3513-3517 - [c40]Ario Sadafi, Vasiliki-Maria Katsageorgiou, Huiping Huang, Francesco Papaleo, Vittorio Murino, Diego Sona:
Multiple Mice Tracking: Occlusions Disentanglement using a Gaussian Mixture Model. ICPR 2018: 2433-2437 - [c39]Shahab Aslani, Michael Dayan, Vittorio Murino, Diego Sona:
Deep 2D Encoder-Decoder Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation in Brain MRI. BrainLes@MICCAI (1) 2018: 132-141 - [i2]Shahab Aslani, Michael Dayan, Loredana Storelli, Massimo Filippi, Vittorio Murino, Maria Assunta Rocca, Diego Sona:
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation. CoRR abs/1811.02942 (2018) - 2017
- [c38]Silvia Baglietto, Ibolya E. Kepiro, Gerrit Hilgen, Evelyne Sernagor, Vittorio Murino, Diego Sona:
Segmentation of Retinal Ganglion Cells From Fluorescent Microscopy Imaging. BIOIMAGING 2017: 17-23 - [c37]Silvia Baglietto, Ibolya E. Kepiro, Gerrit Hilgen, Evelyne Sernagor, Vittorio Murino, Diego Sona:
Automatic Segmentation of Neurons from Fluorescent Microscopy Imaging. BIOSTEC (Selected Papers) 2017: 121-133 - [c36]Vasiliki-Maria Katsageorgiou, Matteo Zanotto, Valter Tucci, Vittorio Murino, Diego Sona:
Data-driven study of mouse sleep-stages using Restricted Boltzmann Machines. IJCNN 2017: 4549-4556 - [c35]Cristina Hilario Gomez, Luca Dodero, Alessandro Gozzi, Vittorio Murino, Diego Sona:
Atlas-free connectivity analysis driven by white matter structure. ISBI 2017: 89-92 - [c34]Alessandro Crimi, Luca Dodero, Vittorio Murino, Diego Sona:
Case-control discrimination through effective brain connectivity. ISBI 2017: 970-973 - [i1]Matteo Zanotto, Riccardo Volpi, Alessandro Maccione, Luca Berdondini, Diego Sona, Vittorio Murino:
Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines. CoRR abs/1701.02898 (2017) - 2016
- [c33]Vasiliki-Maria Katsageorgiou, Matteo Zanotto, Huiping Huang, Valentina Ferretti, Francesco Papaleo, Diego Sona, Vittorio Murino:
Unsupervised mouse behavior analysis: A data-driven study of mice interactions. ICPR 2016: 925-930 - [c32]Luca Dodero, Diego Sona, Djalel Eddine Meskaldji, Vittorio Murino, Dimitri Van De Ville:
Traces of human functional activity: Moment-to-moment fluctuations in fMRI data. ISBI 2016: 1307-1310 - [c31]Alessandro Crimi, Luca Dodero, Vittorio Murino, Diego Sona:
Effective Brain Connectivity Through a Constrained Autoregressive Model. MICCAI (1) 2016: 140-147 - 2015
- [j7]Simona Ullo, Vittorio Murino, Alessandro Maccione, Luca Berdondini, Diego Sona:
Bridging the gap in connectomic studies: A particle filtering framework for estimating structural connectivity at network scale. Medical Image Anal. 21(1): 1-14 (2015) - [j6]Paolo Avesani, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Diego Sona:
Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine. Neural Networks 70: 61-73 (2015) - [c30]Vasiliki-Maria Katsageorgiou, Glenda Lassi, Valter Tucci, Vittorio Murino, Diego Sona:
Sleep-stage scoring in mice: The influence of data pre-processing on a system's performance. EMBC 2015: 598-601 - [c29]Cristina Hilario Gomez, Kartheek Medathati, Pierre Kornprobst, Vittorio Murino, Diego Sona:
Improving FREAK Descriptor for Image Classification. ICVS 2015: 14-23 - [c28]Luca Dodero, Ha Quang Minh, Marco San-Biagio, Vittorio Murino, Diego Sona:
Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices. ISBI 2015: 42-45 - [c27]Luca Dodero, Fabio Sambataro, Vittorio Murino, Diego Sona:
Kernel-Based Analysis of Functional Brain Connectivity on Grassmann Manifold. MICCAI (3) 2015: 604-611 - [e1]Vittorio Murino, Enrico Puppo, Diego Sona, Marco Cristani, Carlo Sansone:
New Trends in Image Analysis and Processing - ICIAP 2015 Workshops - ICIAP 2015 International Workshops: BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM, Genoa, Italy, September 7-8, 2015, Proceedings. Lecture Notes in Computer Science 9281, Springer 2015, ISBN 978-3-319-23221-8 [contents] - 2014
- [j5]Luca Dodero, Sebastiano Vascon, Vittorio Murino, Angelo Bifone, Alessandro Gozzi, Diego Sona:
Automated multi-subject fiber clustering of mouse brain using dominant sets. Frontiers Neuroinformatics 8: 87 (2014) - [c26]Luca Dodero, Alessandro Gozzi, Adam Liska, Vittorio Murino, Diego Sona:
Group-Wise Functional Community Detection through Joint Laplacian Diagonalization. MICCAI (2) 2014: 708-715 - [c25]Luca Dodero, Vittorio Murino, Diego Sona:
Joint laplacian diagonalization for multi-modal brain community detection. PRNI 2014: 1-4 - 2013
- [c24]Matteo Zanotto, Diego Sona, Vittorio Murino, Francesco Papaleo:
Dirichlet Process Mixtures of Multinomials for Data Mining in Mice Behaviour Analysis. ICCV Workshops 2013: 197-202 - [c23]Simona Ullo, Umberto Castellani, Diego Sona, Alessio Del Bue, Alessandro Maccione, Luca Berdondini, Vittorio Murino:
Neuronal network structural connectivity estimation by probabilistic features and graph heat kernels. ISBI 2013: 1054-1057 - [c22]Luca Dodero, Sebastiano Vascon, Luca Giancardo, Alessandro Gozzi, Diego Sona, Vittorio Murino:
Automatic White Matter Fiber Clustering Using Dominant Sets. PRNI 2013: 216-219 - 2012
- [c21]Malin Björnsdotter, Diego Sona, Sonny Rosenthal, Justin Dauwels:
Clustered subsampling for clinically informed diagnostic brain mapping. FUSION 2012: 593-599 - [c20]Paolo Piro, Diego Sona, Vittorio Murino:
Inner product tree for improved Orthogonal Matching Pursuit. ICPR 2012: 429-432 - [c19]Luca Giancardo, Diego Sona, Diego Scheggia, Francesco Papaleo, Vittorio Murino:
Segmentation and tracking of multiple interacting mice by temperature and shape information. ICPR 2012: 2520-2523 - [c18]Luca Giancardo, Diego Sona, Alessandro Gozzi, Angelo Bifone, Vittorio Murino, Sara Migliarini, Giulia Pacini, Barbara Pelosi, Massimo Pasqualetti:
Automatic Tractography Analysis through Sparse Networks in Case-Control Studies. PRNI 2012: 77-80 - 2011
- [c17]Diego Sona, Paolo Avesani, Stefano Magon, Gianpaolo Basso, Gabriele Miceli:
Pairwise Analysis for Longitudinal fMRI Studies. MLINI 2011: 132-139 - [c16]Paolo Avesani, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Diego Sona:
Learning BOLD Response in fMRI by Reservoir Computing. PRNI 2011: 57-60 - 2010
- [c15]Diego Sona, Paolo Avesani:
Feature Rating by Random Subspaces for Functional Brain Mapping. Brain Informatics 2010: 112-123 - [c14]Diego Sona, Paolo Avesani:
Multivariate Brain Mapping by Random Subspaces. ICPR 2010: 2576-2579
2000 – 2009
- 2009
- [p1]Diego Sona, Emanuele Olivetti, Paolo Avesani, Sriharsha Veeramachaneni:
Learning to Interpret Cognitive States from fMRI Brain Images. Computational Intelligence and Bioengineering 2009: 21-35 - 2008
- [c13]Nicola Polettini, Diego Sona, Paolo Avesani:
A relational cascade correlation for structured outputs. IJCNN 2008: 2799-2805 - 2007
- [c12]Enrico Triolo, Nicola Polettini, Diego Sona, Paolo Avesani:
Building Quality-Based Views of the Web. AI*IA 2007: 519-530 - [c11]Diego Sona, Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani:
Inferring Cognition from fMRI Brain Images. ICANN (2) 2007: 869-878 - 2006
- [c10]Paramjeet Singh Saini, Marco Ronchetti, Diego Sona:
Automatic Generation of Metadata for Learning Objects. ICALT 2006: 275-279 - [c9]Diego Sona, Sriharsha Veeramachaneni, Nicola Polettini, Paolo Avesani:
Regularization for Unsupervised Classification on Taxonomies. ISMIS 2006: 691-696 - 2005
- [j4]Giordano Adami, Paolo Avesani, Diego Sona:
Clustering documents into a web directory for bootstrapping a supervised classification. Data Knowl. Eng. 54(3): 301-325 (2005) - [c8]Diego Sona, Paolo Avesani, Robert Moskovitch:
Helping Physicians to Organize Guidelines Within Conceptual Hierarchies. AIME 2005: 141-145 - [c7]Sriharsha Veeramachaneni, Diego Sona, Paolo Avesani:
Hierarchical Dirichlet model for document classification. ICML 2005: 928-935 - 2004
- [j3]Alessio Micheli, Diego Sona, Alessandro Sperduti:
Contextual processing of structured data by recursive cascade correlation. IEEE Trans. Neural Networks 15(6): 1396-1410 (2004) - 2003
- [c6]Giordano Adami, Paolo Avesani, Diego Sona:
Bootstrapping for hierarchical document classification. CIKM 2003: 295-302 - [c5]Alessio Micheli, Diego Sona, Alessandro Sperduti:
Formal Determination of Context in Contextual Recursive Cascade Correlation Networks. ICANN 2003: 173-180 - [c4]Giordano Adami, Paolo Avesani, Diego Sona:
Clustering documents in a web directory. WIDM 2003: 66-73 - 2002
- [b1]Diego Sona:
A proposal for an abstract neural machine. University of Pisa, Italy, 2002 - 2001
- [j2]Egon Börger, Diego Sona:
A Neural Abstract Machine. J. Univers. Comput. Sci. 7(11): 1006-1023 (2001) - [c3]Diego Sona, Alessandro Sperduti:
On the Need for a Neural Abstract Machine. Sequence Learning 2001: 135-161 - 2000
- [j1]Diego Sona, Alessandro Sperduti, Antonina Starita:
Discriminant Pattern Recognition Using Transformation-Invariant Neurons. Neural Comput. 12(6): 1355-1370 (2000) - [c2]Alessio Micheli, Diego Sona, Alessandro Sperduti:
Bi-Causal Recurrent Cascade Correlation. IJCNN (3) 2000: 3-8
1990 – 1999
- 1996
- [c1]Diego Sona, Alessandro Sperduti, Antonina Starita:
A Constructive Learning Algorithm for Discriminant Tangent Models. NIPS 1996: 786-792
Coauthor Index
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