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)

Diffusion tensor imaging and fiber tractography. - Letizia Squarcina (2012)

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)

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; et al. (MLCN@MICCAI, 2022)

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)

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)

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)