Diego Sona

Orcid: 0000-0003-2883-5336

According to our database1, Diego Sona authored at least 68 papers between 1996 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Structurally constrained effective brain connectivity.
NeuroImage, 2021

AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study.
Medical Image Anal., 2021

Dynamic Functional Connectivity For The Classification Of Multiple Sclerosis Phenotype: A Hidden Markov Model Approach.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Cyst segmentation on kidney tubules by means of U-Net deep-learning models.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Multimodal Segmentation of Medical Images with Heavily Missing Data.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
A Stem-Based Dissection of Inferior Fronto-Occipital Fasciculus with A Deep Learning Model.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Geodesic Clustering of Positive Definite Matrices For Classification of Mental Disorder Using Brain Functional Connectivity.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Encoding Brain Networks Through Geodesic Clustering of Functional Connectivity for Multiple Sclerosis Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Organ Segmentation with Recursive Data Augmentation for Deep Models.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
Multi-branch convolutional neural network for multiple sclerosis lesion segmentation.
NeuroImage, 2019

Comparison of brain connectomes using geodesic distance on manifold: a twin study.
CoRR, 2019

Comparison Of Brain Connectomes Using Geodesic Distance On Manifold: A Twins Study.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Analysis of Dynamic Brain Connectivity Through Geodesic Clustering.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Multiple Organs Segmentation in Abdomen CT Scans Using a Cascade of CNNs.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Investigating the Impact of Genetic Background on Brain Dynamic Functional Connectivity Through Machine Learning: A Twins Study.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
Deep 2D Encoder-Decoder Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation in Brain MRI.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Multiple Mice Tracking: Occlusions Disentanglement using a Gaussian Mixture Model.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Unsupervised Detection of White Matter Fiber Bundles with Stochastic Neural Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines.
CoRR, 2017

Atlas-free connectivity analysis driven by white matter structure.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Case-control discrimination through effective brain connectivity.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Data-driven study of mouse sleep-stages using Restricted Boltzmann Machines.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Automatic Segmentation of Neurons from Fluorescent Microscopy Imaging.
Proceedings of the Biomedical Engineering Systems and Technologies, 2017

Segmentation of Retinal Ganglion Cells From Fluorescent Microscopy Imaging.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016
Effective Brain Connectivity Through a Constrained Autoregressive Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Traces of human functional activity: Moment-to-moment fluctuations in fMRI data.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Unsupervised mouse behavior analysis: A data-driven study of mice interactions.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine.
Neural Networks, 2015

Bridging the gap in connectomic studies: A particle filtering framework for estimating structural connectivity at network scale.
Medical Image Anal., 2015

Kernel-Based Analysis of Functional Brain Connectivity on Grassmann Manifold.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Improving FREAK Descriptor for Image Classification.
Proceedings of the Computer Vision Systems - 10th International Conference, 2015

Sleep-stage scoring in mice: The influence of data pre-processing on a system's performance.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Automated multi-subject fiber clustering of mouse brain using dominant sets.
Frontiers Neuroinformatics, 2014

Joint laplacian diagonalization for multi-modal brain community detection.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Group-Wise Functional Community Detection through Joint Laplacian Diagonalization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Automatic White Matter Fiber Clustering Using Dominant Sets.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Neuronal network structural connectivity estimation by probabilistic features and graph heat kernels.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Dirichlet Process Mixtures of Multinomials for Data Mining in Mice Behaviour Analysis.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

2012
Automatic Tractography Analysis through Sparse Networks in Case-Control Studies.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

Inner product tree for improved Orthogonal Matching Pursuit.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Segmentation and tracking of multiple interacting mice by temperature and shape information.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Clustered subsampling for clinically informed diagnostic brain mapping.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
Learning BOLD Response in fMRI by Reservoir Computing.
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011

Pairwise Analysis for Longitudinal fMRI Studies.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

2010
Multivariate Brain Mapping by Random Subspaces.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Feature Rating by Random Subspaces for Functional Brain Mapping.
Proceedings of the Brain Informatics, International Conference, 2010

2009
Learning to Interpret Cognitive States from fMRI Brain Images.
Proceedings of the Computational Intelligence and Bioengineering, 2009

2008
A relational cascade correlation for structured outputs.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Inferring Cognition from fMRI Brain Images.
Proceedings of the Artificial Neural Networks, 2007

Building Quality-Based Views of the Web.
Proceedings of the AI*IA 2007: Artificial Intelligence and Human-Oriented Computing, 2007

2006
Regularization for Unsupervised Classification on Taxonomies.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

Automatic Generation of Metadata for Learning Objects.
Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies, 2006

2005
Clustering documents into a web directory for bootstrapping a supervised classification.
Data Knowl. Eng., 2005

Hierarchical Dirichlet model for document classification.
Proceedings of the Machine Learning, 2005

Helping Physicians to Organize Guidelines Within Conceptual Hierarchies.
Proceedings of the Artificial Intelligence in Medicine, 2005

2004
Contextual processing of structured data by recursive cascade correlation.
IEEE Trans. Neural Networks, 2004

2003
Clustering documents in a web directory.
Proceedings of the Fifth ACM CIKM International Workshop on Web Information and Data Management (WIDM 2003), 2003

Formal Determination of Context in Contextual Recursive Cascade Correlation Networks.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Bootstrapping for hierarchical document classification.
Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, 2003

2002
A proposal for an abstract neural machine.
PhD thesis, 2002

2001
A Neural Abstract Machine.
J. Univers. Comput. Sci., 2001

On the Need for a Neural Abstract Machine.
Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

2000
Discriminant Pattern Recognition Using Transformation-Invariant Neurons.
Neural Comput., 2000

Bi-Causal Recurrent Cascade Correlation.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1996
A Constructive Learning Algorithm for Discriminant Tangent Models.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996


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