Local Kernel for Brains Classification in Schizophrenia. - Umberto Castellani; E. Rossato; Vittorio Murino; Marcella Bellani; Gianluca Rambaldelli; Michele Tansella; Paolo Brambilla (AI*IA, 2009)

Brain Morphometry by Probabilistic Latent Semantic Analysis. - Umberto Castellani; Alessandro Perina; Vittorio Murino; Marcella Bellani; Gianluca Rambaldelli; Michele Tansella; Paolo Brambilla (MICCAI (2), 2010)

Multimodal Schizophrenia Detection by Multiclassification Analysis. - Aydin Ulas; Umberto Castellani; Pasquale Mirtuono; Manuele Bicego; Vittorio Murino; Stefania Cerruti; Marcella Bellani; Manfredo Atzori; Gianluca Rambaldelli; Michele Tansella; Paolo Brambilla (CIARP, 2011)

A New Shape Diffusion Descriptor for Brain Classification. - Umberto Castellani; Pasquale Mirtuono; Vittorio Murino; Marcella Bellani; Gianluca Rambaldelli; Michele Tansella; Paolo Brambilla (MICCAI (2), 2011)

Heat Diffusion Based Dissimilarity Analysis for Schizophrenia Classification. - Aydin Ulas; Umberto Castellani; Vittorio Murino; Marcella Bellani; Michele Tansella; Paolo Brambilla (PRIB, 2011)

Dissimilarity-based detection of schizophrenia. - Aydin Ulas; Robert P. W. Duin; Umberto Castellani; Marco Loog; Pasquale Mirtuono; Manuele Bicego; Vittorio Murino; Marcella Bellani; Stefania Cerruti; Michele Tansella; Paolo Brambilla (Int. J. Imaging Syst. Technol., 2011)

A Localized MKL Method for Brain Classification with Known Intra-class Variability. - Aydin Ulas; Mehmet Gönen; Umberto Castellani; Vittorio Murino; Marcella Bellani; Michele Tansella; Paolo Brambilla (MLMI, 2012)

Biomarker Evaluation by Multiple Kernel Learning for Schizophrenia Detection. - Aydin Ulas; Umberto Castellani; Vittorio Murino; Marcella Bellani; Michele Tansella; Paolo Brambilla (PRNI, 2012)

Machine Learning Approaches: From Theory to Application in Schizophrenia. - Elisa Veronese; Umberto Castellani; Denis Peruzzo; Marcella Bellani; Paolo Brambilla (Comput. Math. Methods Medicine, 2013)

Analysis of Brain Magnetic Resonance (MR) Scans for the Diagnosis of Mental Illness. - Aydin Ulas; Umberto Castellani; Manuele Bicego; Vittorio Murino; Marcella Bellani; Michele Tansella; Paolo Brambilla (Similarity-Based Pattern Analysis and Recognition, 2013)

Mapping Brains on Grids of Features for Schizophrenia Analysis. - Alessandro Perina; Denis Peruzzo; Maria Kesa; Nebojsa Jojic; Vittorio Murino; Mellani Bellani; Paolo Brambilla; Umberto Castellani (MICCAI (2), 2014)

Learning with Heterogeneous Data for Longitudinal Studies. - Letizia Squarcina; Cinzia Perlini; Marcella Bellani; Antonio Lasalvia; Mirella Ruggeri; Paolo Brambilla; Umberto Castellani (MICCAI (3), 2015)

Functional Maps for Brain Classification on Spectral Domain. - Simone Melzi; Alessandro Mella; Letizia Squarcina; Marcella Bellani; Cinzia Perlini; Mirella Ruggeri; Carlo Alfredo Altamura; Paolo Brambilla; Umberto Castellani (SeSAMI@MICCAI, 2016)

Learning from Enhanced Contextual Similarity in Brain Imaging Data for Classification of Schizophrenia. - Tewodros Mulugeta Dagnew; Letizia Squarcina; Massimo Walter Rivolta; Paolo Brambilla; Roberto Sassi (ICIAP (1), 2017)

Classification of first-episode psychosis in a large cohort of patients using support vector machine and multiple kernel learning techniques. - Letizia Squarcina; Umberto Castellani; Marcella Bellani; Cinzia Perlini; Antonio Lasalvia; Nicola Dusi; Chiara Bonetto; Doriana Cristofalo; Sarah Tosato; Gianluca Rambaldelli; Franco Alessandrini; Giada Zoccatelli; et al. (NeuroImage, 2017)

Investigating the Impact of Genetic Background on Brain Dynamic Functional Connectivity Through Machine Learning: A Twins Study. - Muhammad Abubakar Yamin; Michael Dayan; Letizia Squarcina; Vaibhav A. Diwadkar; Paolo Brambilla; Vittorio Murino; Diego Sona (BHI, 2019)

Analysis of Dynamic Brain Connectivity Through Geodesic Clustering. - A. Yamin; Michael Dayan; Letizia Squarcina; Paolo Brambilla; Vittorio Murino; Vaibhav A. Diwadkar; Diego Sona (ICIAP (2), 2019)

Comparison Of Brain Connectomes Using Geodesic Distance On Manifold: A Twins Study. - Abubakar Yamin; Michael Dayan; Letizia Squarcina; Paolo Brambilla; Vittorio Murino; Vaibhav A. Diwadkar; Diego Sona (ISBI, 2019)

Comparison of brain connectomes using geodesic distance on manifold: a twin study. - A. Yamin; Michael Dayan; Letizia Squarcina; Paolo Brambilla; Vittorio Murino; Vaibhav A. Diwadkar; Diego Sona (CoRR, 2019)

A novel spatiotemporal tool for the automatic classification of fMRI noise based on Independent Component Analysis. - Emma Tassi; Eleonora Maggioni; Sergio Cerutti; Paolo Brambilla; Anna Maria Bianchi (EMBC, 2020)

Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification. - Benoit Dufumier; Pietro Gori; Julie Victor; Antoine Grigis; Michel Wessa; Paolo Brambilla; Pauline Favre; Mircea Polosan; Colm McDonald; Camille Marie Piguet; Mary L. Phillips; Lisa Eyler; et al. (MICCAI (2), 2021)

Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification. - Benoit Dufumier; Pietro Gori; Julie Victor; Antoine Grigis; Michel Wessa; Paolo Brambilla; Pauline Favre; Mircea Polosan; Colm McDonald; Camille Marie Piguet; Edouard Duchesnay (CoRR, 2021)

Training with a Mobile FES-cycling System: A Case Study with a Spinal Cord Injured Pilot to Investigate Performances Optimization. - Federica Ferrari; Nicole Sanna; Paolo Brambilla; Francesca Dell'Eva; Simona Ferrante; Marco Tarabini; Alessandra Pedrocchi; Emilia Ambrosini (ICCHP-AAATE (2), 2022)

Automated Vision Inspection of Critical Steel Components based on Signal Analysis Extracted form Images. - Paolo Brambilla; Paolo Cattaneo; Andrea Fumagalli; Paolo Chiariotti; Marco Tarabini (MetroInd4.0& IoT, 2022)

Comparison of Multi-site Neuroimaging Data Harmonization Techniques for Machine Learning Applications. - Inês W. Sampaio; Emma Tassi; Marcella Bellani; Francesco Benedetti; Sara Poletti; Gianfranco Spalletta; Fabrizio Piras; Anna Maria Bianchi; Paolo Brambilla; Eleonora Maggioni (EUROCON, 2023)

Algorithms for Vision-Based Quality Control of Circularly Symmetric Components. - Paolo Brambilla; Chiara Conese; Davide Maria Fabris; Paolo Chiariotti; Marco Tarabini (Sensors, 2023)

Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester. - Tommaso Ciceri; Letizia Squarcina; Alessandro Pigoni; Adele Ferro; Florian Montano; Alessandra Bertoldo; Nicola Persico; Simona Boito; Fabio Maria Triulzi; Giorgio Conte; Paolo Brambilla; Denis Peruzzo (Neuroinformatics, 2023)

Review on deep learning fetal brain segmentation from Magnetic Resonance images. - Tommaso Ciceri; Letizia Squarcina; Alice Giubergia; Alessandra Bertoldo; Paolo Brambilla; Denis Peruzzo (Artif. Intell. Medicine, 2023)

Correction to: Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester. - Tommaso Ciceri; Letizia Squarcina; Alessandro Pigoni; Adele Ferro; Florian Montano; Alessandra Bertoldo; Nicola Persico; Simona Boito; Fabio Maria Triulzi; Giorgio Conte; Paolo Brambilla; Denis Peruzzo (Neuroinformatics, 2023)

Exploring Brain Activity During Awe-Inducing Virtual Reality Experiences: a Multi-Metric EEG Frequency Analysis. - Flavia Carbone; Elena Bondi; Yara Massalha; Andrea Anastasi; Adele Ferro; Marta Pizzolante; Giandomenico Schiena; Anna Maria Maddalena Bianchi; Andrea Gaggioli; Maddalena Mazzocut-Mis; Alice Chirico; Paolo Brambilla; et al. (EMBC, 2024)

Data-driven Discovery of the Central Autonomic Network: Dynamic Integration of HRV and Multivariate fMRI Connectivity. - Federica Goffi; Pierluigi Reali; Adele Ferro; Giandomenico Schiena; Fabio Maria Triulzi; Anna M. Bianchi; Paolo Brambilla; Eleonora Maggioni (EMBC, 2024)

AI Solutions for Grilled Eggplants Sorting: A Comparative Analysis of Image-Based Techniques. - Paolo Brambilla; Emanuele Locatelli; Davide Mondin; Chiara Conese; Remo Sala; Marco Tarabini (MetroInd4.0 & IoT, 2024)

Hyperspectral Imaging and Machine Learning Techniques for the Automatic Sorting of Horticultural Products. - Eduardo Minieri; Edoardo Milani; Paolo Brambilla; Remo Sala; Marco Tarabini (MetroInd4.0 & IoT, 2024)

Evaluating Illumination Strategies for Neural-Based Surface Quality Assessment in Cold-Rolled Steel Production. - Luca Pini; Paolo Brambilla; Alessandro Barcatta; Francesca Ghislanzoni; Marco Tarabini (MetroInd4.0 & IoT, 2024)

The Possible Role of Insula and Default Mode Network in Schizophrenia During an Auditory Task: A Pilot EEG-fMRI Analysis. - Elena Bondi; Francesco Luciano Donati; Anna M. Bianchi; Fabio Maria Triulzi; Yvan Torrente; Armando D'Agostino; Paolo Brambilla; Eleonora Maggioni (MetroXRAINE, 2024)

An HRV-fMRI-DTI Integrated Framework at Ultra-High Magnetic Field. - Federica Goffi; Elena Scalbi; Emma Tassi; Letizia Squarcina; Michela Tosetti; Anna M. Bianchi; Paolo Brambilla; Eleonora Maggioni (MetroXRAINE, 2024)

Multi-site External Sets Harmonization with M-ComBat: An Application to Functional Connectivity in a Normative Framework. - Inês W. Sampaio; Emma Tassi; Anna M. Bianchi; Stefan J. Borgwardt; Joseph Kambeitz; Lana Kambeitz-Ilankovic; Eva M. Meisenzahl; Raimo K. R. Salokangas; Rachel Upthegrove; Stephen J. Wood; Nikolaos Koutsouleris; Paolo Brambilla; et al. (MetroXRAINE, 2024)

Multivariate Developmental Pattern of Cortical Thickness, Brain Functional Connectivity and Behaviour: a Multi-Block Partial Least Square Discriminant Analysis. - Emma Tassi; Federica Goffi; Carolina Bonivento; Maddalena Mauri; Nivedita Agarwal; Rossano Girometti; Yvan Torrente; Anna Maria Bianchi; Maria Nobile; Eleonora Maggioni; Paolo Brambilla (MetroXRAINE, 2024)

Ensemble-KAN: Leveraging Kolmogorov Arnold Networks to Discriminate Individuals with Psychiatric Disorders from Controls. - Gianluca De Franceschi; Inês W. Sampaio; Stefan J. Borgwardt; Joseph Kambeitz; Lana Kambeitz-Ilankovic; Eva M. Meisenzahl; Raimo K. R. Salokangas; Rachel Upthegrove; Stephen J. Wood; Nikolaos Koutsouleris; Paolo Brambilla; Eleonora Maggioni (AMAI@MICCAI, 2024)

Fetal brain MRI atlases and datasets: A review. - Tommaso Ciceri; Luca Casartelli; Florian Montano; Stefania Conte; Letizia Squarcina; Alessandra Bertoldo; Nivedita Agarwal; Paolo Brambilla; Denis Peruzzo (NeuroImage, 2024)

A generalizable normative deep autoencoder for brain morphological anomaly detection: application to the multi-site StratiBip dataset on bipolar disorder in an external validation framework. - Inês W. Sampaio; Emma Tassi; Marcella Bellani; Francesco Benedetti; Igor Nenadic; Mary L. Phillips; Fabrizio Piras; Lakshmi Yatham; Anna Maria Bianchi; Paolo Brambilla; Eleonora Maggioni (Artif. Intell. Medicine, 2025)

Neurovascular coupling of inhibitory control in late-onset depression: a simultaneous EEG-fMRI study. - Elena Bondi; Alessandro Pigoni; Adele Ferro; Maria Pia Marra; Guido Nosari; Giandomenico Schiena; Fabio Maria Triulzi; Anna M. Bianchi; Paolo Brambilla; Eleonora Maggioni (NeuroImage, 2025)