Paolo Brambilla

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 21

Top Topics

Magnetic Resonance Images

Machine Learning

Reconstructed Image

Top Venues

MetroInd4.0 & IoT

Neuroinformatics

Publications

Luca Pini, Paolo Brambilla, Alessandro Barcatta, Francesca Ghislanzoni, Marco Tarabini
Evaluating Illumination Strategies for Neural-Based Surface Quality Assessment in Cold-Rolled Steel Production. MetroInd4.0 & IoT (2024)
Tommaso Ciceri, Luca Casartelli, Florian Montano, Stefania Conte, Letizia Squarcina, Alessandra Bertoldo, Nivedita Agarwal, Paolo Brambilla, Denis Peruzzo
Fetal brain MRI atlases and datasets: A review. NeuroImage 292 (2024)
Eduardo Minieri, Edoardo Milani, Paolo Brambilla, Remo Sala, Marco Tarabini
Hyperspectral Imaging and Machine Learning Techniques for the Automatic Sorting of Horticultural Products. MetroInd4.0 & IoT (2024)
Paolo Brambilla, Emanuele Locatelli, Davide Mondin, Chiara Conese, Remo Sala, Marco Tarabini
AI Solutions for Grilled Eggplants Sorting: A Comparative Analysis of Image-Based Techniques. MetroInd4.0 & IoT (2024)
Inês W. Sampaio, Emma Tassi, Marcella Bellani, Francesco Benedetti, Sara Poletti, Gianfranco Spalletta, Fabrizio Piras, Anna Maria Bianchi, Paolo Brambilla, Eleonora Maggioni
Comparison of Multi-site Neuroimaging Data Harmonization Techniques for Machine Learning Applications. EUROCON (2023)
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
Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester. Neuroinformatics 21 (3) (2023)
Tommaso Ciceri, Letizia Squarcina, Alice Giubergia, Alessandra Bertoldo, Paolo Brambilla, Denis Peruzzo
Review on deep learning fetal brain segmentation from Magnetic Resonance images. Artif. Intell. Medicine 143 (2023)
Paolo Brambilla, Chiara Conese, Davide Maria Fabris, Paolo Chiariotti, Marco Tarabini
Algorithms for Vision-Based Quality Control of Circularly Symmetric Components. Sensors 23 (5) (2023)
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
Correction to: Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester. Neuroinformatics 21 (4) (2023)
Paolo Brambilla, Paolo Cattaneo, Andrea Fumagalli, Paolo Chiariotti, Marco Tarabini
Automated Vision Inspection of Critical Steel Components based on Signal Analysis Extracted form Images. MetroInd4.0& IoT (2022)
Federica Ferrari, Nicole Sanna, Paolo Brambilla, Francesca Dell'Eva, Simona Ferrante, Marco Tarabini, Alessandra Pedrocchi, Emilia Ambrosini
Training with a Mobile FES-cycling System: A Case Study with a Spinal Cord Injured Pilot to Investigate Performances Optimization. ICCHP-AAATE (2) (2022)
Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Edouard Duchesnay
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification. CoRR (2021)
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, Edouard Duchesnay
Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification. MICCAI (2) (2021)
Emma Tassi, Eleonora Maggioni, Sergio Cerutti, Paolo Brambilla, Anna Maria Bianchi
A novel spatiotemporal tool for the automatic classification of fMRI noise based on Independent Component Analysis. EMBC (2020)
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 (2019)
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)
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)
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)
Letizia Squarcina, Umberto Castellani, Marcella Bellani, Cinzia Perlini, Antonio Lasalvia, Nicola Dusi, Chiara Bonetto, Doriana Cristofalo, Sarah Tosato, Gianluca Rambaldelli, Franco Alessandrini, Giada Zoccatelli, Roberto Pozzi Mucelli, Dario Lamonaca, Enrico Ceccato, Francesca Pileggi, Fausto Mazzi, Paolo Santonastaso, Mirella Ruggeri, Paolo Brambilla
Classification of first-episode psychosis in a large cohort of patients using support vector machine and multiple kernel learning techniques. NeuroImage 145 (2017)
Tewodros Mulugeta Dagnew, Letizia Squarcina, Massimo Walter Rivolta, Paolo Brambilla, Roberto Sassi
Learning from Enhanced Contextual Similarity in Brain Imaging Data for Classification of Schizophrenia. ICIAP (1) (2017)
Simone Melzi, Alessandro Mella, Letizia Squarcina, Marcella Bellani, Cinzia Perlini, Mirella Ruggeri, Carlo Alfredo Altamura, Paolo Brambilla, Umberto Castellani
Functional Maps for Brain Classification on Spectral Domain. SeSAMI@MICCAI (2016)
Letizia Squarcina, Cinzia Perlini, Marcella Bellani, Antonio Lasalvia, Mirella Ruggeri, Paolo Brambilla, Umberto Castellani
Learning with Heterogeneous Data for Longitudinal Studies. MICCAI (3) (2015)
Alessandro Perina, Denis Peruzzo, Maria Kesa, Nebojsa Jojic, Vittorio Murino, Mellani Bellani, Paolo Brambilla, Umberto Castellani
Mapping Brains on Grids of Features for Schizophrenia Analysis. MICCAI (2) (2014)
Elisa Veronese, Umberto Castellani, Denis Peruzzo, Marcella Bellani, Paolo Brambilla
Machine Learning Approaches: From Theory to Application in Schizophrenia. Comput. Math. Methods Medicine 2013 (2013)
Aydin Ulas, Umberto Castellani, Vittorio Murino, Marcella Bellani, Michele Tansella, Paolo Brambilla
Biomarker Evaluation by Multiple Kernel Learning for Schizophrenia Detection. PRNI (2012)
Aydin Ulas, Mehmet Gönen, Umberto Castellani, Vittorio Murino, Marcella Bellani, Michele Tansella, Paolo Brambilla
A Localized MKL Method for Brain Classification with Known Intra-class Variability. MLMI (2012)
Aydin Ulas, Robert P. W. Duin, Umberto Castellani, Marco Loog, Pasquale Mirtuono, Manuele Bicego, Vittorio Murino, Marcella Bellani, Stefania Cerruti, Michele Tansella, Paolo Brambilla
Dissimilarity-based detection of schizophrenia. Int. J. Imaging Syst. Technol. 21 (2) (2011)
Aydin Ulas, Umberto Castellani, Pasquale Mirtuono, Manuele Bicego, Vittorio Murino, Stefania Cerruti, Marcella Bellani, Manfredo Atzori, Gianluca Rambaldelli, Michele Tansella, Paolo Brambilla
Multimodal Schizophrenia Detection by Multiclassification Analysis. CIARP (2011)
Umberto Castellani, Pasquale Mirtuono, Vittorio Murino, Marcella Bellani, Gianluca Rambaldelli, Michele Tansella, Paolo Brambilla
A New Shape Diffusion Descriptor for Brain Classification. MICCAI (2) (2011)
Aydin Ulas, Umberto Castellani, Vittorio Murino, Marcella Bellani, Michele Tansella, Paolo Brambilla
Heat Diffusion Based Dissimilarity Analysis for Schizophrenia Classification. PRIB (2011)
Umberto Castellani, Alessandro Perina, Vittorio Murino, Marcella Bellani, Gianluca Rambaldelli, Michele Tansella, Paolo Brambilla
Brain Morphometry by Probabilistic Latent Semantic Analysis. MICCAI (2) (2010)
Umberto Castellani, E. Rossato, Vittorio Murino, Marcella Bellani, Gianluca Rambaldelli, Michele Tansella, Paolo Brambilla
Local Kernel for Brains Classification in Schizophrenia. AI*IA (2009)