Denis Peruzzo

According to our database, Denis Peruzzo authored at least 13 papers between 2011 and 2024.

Collaborative distances:

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

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

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

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

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, Emanuele Pignoli, Lorenza Gandola, Pietro Cerveri, Luca T. Mainardi

Medical Biol. Eng. Comput., 2020

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

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2016

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

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

Machine Learning Approaches: From Theory to Application in Schizophrenia.

Elisa Veronese, Umberto Castellani, Denis Peruzzo, Marcella Bellani, Paolo Brambilla

Comput. Math. Methods Medicine, 2013

2012

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

2011

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