Automatic selection of arterial input function on dynamic contrast-enhanced MR images. - Denis Peruzzo; Alessandra Bertoldo; Francesca Zanderigo; Claudio Cobelli (Comput. Methods Programs Biomed., 2011)

Comparative analysis of algorithms for whole-genome assembly of pyrosequencing data. - Francesca Finotello; Enrico Lavezzo; Paolo Fontana; Denis Peruzzo; Alessandro Albiero; Luisa Barzon; Marco Falda; Barbara Di Camillo; Stefano Toppo (Briefings Bioinform., 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)

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)

Detection of Corpus Callosum Malformations in Pediatric Population Using the Discriminative Direction in Multiple Kernel Learning. - Denis Peruzzo; Filippo Arrigoni; Fabio Maria Triulzi; Cecilia Parazzini; Umberto Castellani (MICCAI (2), 2014)

A framework for the automatic detection and characterization of brain malformations: Validation on the corpus callosum. - Denis Peruzzo; Filippo Arrigoni; Fabio Maria Triulzi; Andrea Righini; Cecilia Parazzini; Umberto Castellani (Medical Image Anal., 2016)

Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy. - Gabriele Amorosino; Denis Peruzzo; Pietro Astolfi; Daniela Redaelli; Paolo Avesani; Filippo Arrigoni; Emanuele Olivetti (MLCN/RNO-AI@MICCAI, 2020)

A multi-metric registration strategy for the alignment of longitudinal brain images in pediatric oncology. - Eros Montin; Antonella Belfatto; Marco Bologna; Silvia Meroni; Claudia Cavatorta; Emilia Pecori; Barbara Diletto; Maura Massimino; Maria Chiara Oprandi; Geraldina Poggi; Filippo Arrigoni; Denis Peruzzo; et al. (Medical Biol. Eng. Comput., 2020)

DBB - A Distorted Brain Benchmark for Automatic Tissue Segmentation in Paediatric Patients. - Gabriele Amorosino; Denis Peruzzo; Daniela Redaelli; Emanuele Olivetti; Filippo Arrigoni; Paolo Avesani (NeuroImage, 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)

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)

Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge. - Vladyslav Zalevskyi; Thomas Sanchez; Misha P. T. Kaandorp; Margaux Roulet; Diego Fajardo Rojas; Liu Li; Jana Hutter; Hongwei Bran Li; Matthew J. Barkovich; Hui Ji; Luca Wilhelmi; Aline Dändliker; et al. (CoRR, 2025)