Letizia Squarcina

According to our database, Letizia Squarcina authored at least 17 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Unveiling the Structural-Functional Interplay of Brain Networks in Depression: An Integrated DTI-fMRI Study.

Federica Goffi, Elena Scalbi, Emma Tassi, Letizia Squarcina, Maria Pia Marra, Lorena Di Consoli, Adele Ferro, Giandomenico Schiena, Fabio Maria Triulzi, Anna M. Bianchi, Paolo Brambilla, Eleonora Maggioni

Proceedings of the 33rd European Signal Processing Conference, 2025

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

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

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

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, October, 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, September, 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, July, 2023

2022

Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging.

Yuji Zhao, Max A. Laansma, Eva M. van Heese, Conor Owens-Walton, Laura M. Parkes, Ines Debove, Christian Rummel, Roland Wiest, Fernando Cendes, Rachel Guimaraes, Clarissa Lin Yasuda, Jiun-Jie Wang, Tim J. Anderson, John C. Dalrymple-Alford, Tracy R. Melzer, Toni L. Pitcher, Reinhold Schmidt, Petra Schwingenschuh, Gaëtan Garraux, Mario Rango, Letizia Squarcina, Sarah Al-Bachari, Hedley C. A. Emsley, Johannes C. Klein, Clare E. Mackay, Michiel F. Dirkx, Rick C. Helmich, Francesca Assogna, Fabrizio Piras, Joanna K. Bright, Gianfranco Spalletta, Kathleen Poston, Christine Lochner, Corey T. McMillan, Daniel Weintraub, Jason Druzgal, Benjamin Newman, Odile A. van den Heuvel, Neda Jahanshad, Paul M. Thompson, Ysbrand D. van der Werf, Boris Gutman

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

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

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Analysis of Dynamic Brain Connectivity Through Geodesic Clustering.

A. Yamin, Michael Dayan, Letizia Squarcina, Paolo Brambilla, Vittorio Murino, Vaibhav A. Diwadkar, Diego Sona

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.

Muhammad Abubakar Yamin, Michael Dayan, Letizia Squarcina, Vaibhav A. Diwadkar, Paolo Brambilla, Vittorio Murino, Diego Sona

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

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, Roberto Pozzi Mucelli, Dario Lamonaca, Enrico Ceccato, Francesca Pileggi, Fausto Mazzi, Paolo Santonastaso, Mirella Ruggeri, Paolo Brambilla

NeuroImage, 2017

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

Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

2016

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

Proceedings of the Spectral and Shape Analysis in Medical Imaging, 2016

2015

Learning with Heterogeneous Data for Longitudinal Studies.

Letizia Squarcina, Cinzia Perlini, Marcella Bellani, Antonio Lasalvia, Mirella Ruggeri, Paolo Brambilla, Umberto Castellani

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

2012

Diffusion tensor imaging and fiber tractography.

Letizia Squarcina

PhD thesis, 2012

A robust method for investigating thalamic white matter tracts after traumatic brain injury.

Letizia Squarcina, Alessandra Bertoldo, Timothy E. Ham, Rolf A. Heckemann, David J. Sharp

NeuroImage, 2012