Chronic and acute intranasal oxytocin produce divergent social effects in mice H Huang, C Michetti, M Busnelli, F Manago, S Sannino, D Scheggia, ... Neuropsychopharmacology 39 (5), 1102-1114, 2014 | 220 | 2014 |
Multi-branch convolutional neural network for multiple sclerosis lesion segmentation S Aslani, M Dayan, L Storelli, M Filippi, V Murino, MA Rocca, D Sona NeuroImage 196, 1-15, 2019 | 160 | 2019 |
Unsupervised spike sorting for large-scale, high-density multielectrode arrays G Hilgen, M Sorbaro, S Pirmoradian, JO Muthmann, IE Kepiro, S Ullo, ... Cell reports 18 (10), 2521-2532, 2017 | 116 | 2017 |
Automatic visual tracking and social behaviour analysis with multiple mice L Giancardo, D Sona, H Huang, S Sannino, F Managò, D Scheggia, ... PloS one 8 (9), e74557, 2013 | 103 | 2013 |
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study P Soda, NC D’Amico, J Tessadori, G Valbusa, V Guarrasi, C Bortolotto, ... Medical image analysis 74, 102216, 2021 | 84 | 2021 |
Clustering documents in a web directory G Adami, P Avesani, D Sona Proceedings of the 5th ACM international workshop on Web information and …, 2003 | 84 | 2003 |
Contextual processing of structured data by recursive cascade correlation A Micheli, D Sona, A Sperduti IEEE Transactions on Neural Networks 15 (6), 1396-1410, 2004 | 81 | 2004 |
Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices L Dodero, HQ Minh, M San Biagio, V Murino, D Sona 2015 IEEE 12th international symposium on biomedical imaging (ISBI), 42-45, 2015 | 64 | 2015 |
Scanner invariant multiple sclerosis lesion segmentation from MRI S Aslani, V Murino, M Dayan, R Tam, D Sona, G Hamarneh 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 781-785, 2020 | 49 | 2020 |
Functional connectivity estimation over large networks at cellular resolution based on electrophysiological recordings and structural prior S Ullo, TR Nieus, D Sona, A Maccione, L Berdondini, V Murino Frontiers in neuroanatomy 8, 137, 2014 | 46 | 2014 |
Bootstrapping for hierarchical document classification G Adami, P Avesani, D Sona Proceedings of the twelfth international conference on Information and …, 2003 | 41 | 2003 |
Clustering documents into a web directory for bootstrapping a supervised classification G Adami, P Avesani, D Sona Data & Knowledge Engineering 54 (3), 301-325, 2005 | 39 | 2005 |
Hierarchical dirichlet model for document classification S Veeramachaneni, D Sona, P Avesani Proceedings of the 22nd international conference on Machine learning, 928-935, 2005 | 34 | 2005 |
SPI: a system for palaeographic inspections F Aiolli, M Simi, D Sona, A Sperduti, A Starita, G Zaccagnini AIIA Notizie http://www. dsi. unifi. it/AIIA 4 (34-38), 7, 1999 | 33 | 1999 |
Structurally constrained effective brain connectivity A Crimi, L Dodero, F Sambataro, V Murino, D Sona NeuroImage 239, 118288, 2021 | 32 | 2021 |
Deep 2D encoder-decoder convolutional neural network for multiple sclerosis lesion segmentation in brain MRI S Aslani, M Dayan, V Murino, D Sona Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 32 | 2019 |
Kernel-based analysis of functional brain connectivity on Grassmann manifold L Dodero, F Sambataro, V Murino, D Sona Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 32 | 2015 |
Case-control discrimination through effective brain connectivity A Crimi, L Dodero, V Murino, D Sona 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 25 | 2017 |
Automatic generation of metadata for learning objects PS Saini, M Ronchetti, D Sona Sixth IEEE International Conference on Advanced Learning Technologies (ICALT …, 2006 | 25 | 2006 |
Automated multi-subject fiber clustering of mouse brain using dominant sets. L Dodero, S Vascon, V Murino, A Bifone, A Gozzi, D Sona Frontiers in neuroinformatics 8, 2015 | 21 | 2015 |