Lorenzo Vassallo

According to our database, Lorenzo Vassallo authored at least 8 papers between 1996 and 2025.

Collaborative distances:

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

2025

Exploring the complexities of radiomics: an in-depth analysis of a machine learning pipeline for predicting rectal cancer therapy response using MRI.

Arianna Defeudis, Jovana Panic, Lorenzo Vassallo, Stefano Cirillo, Marco Gatti, Riccardo Faletti, Antonio Esposito, Anna Palmisano, Serena Dell'Aversana, Alfonso Ragozzino, Salvatore Siena, Angelo Vanzulli, Daniele Regge, Samanta Rosati, Gabriella Balestra, Valentina Giannini

Comput. methods Biomech. Biomed. Eng. Imaging Vis., December, 2025

Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi-Center Setting.

Jovana Panic, Arianna Defeudis, Lorenzo Vassallo, Stefano Cirillo, Marco Gatti, Roberto Sghedoni, Michele Avanzo, Angelo Vanzulli, Luca Sorrentino, Luca Boldrini, Huong Elena Tran, Giuditta Chiloiro, Giuseppe Roberto D'Agostino, Enrico Menghi, Roberta Fusco, Antonella Petrillo, Vincenza Granata, Martina Mori, Claudio Fiorino, Barbara Alicja Jereczek-Fossa, Marianna Alessandra Gerardi, Serena Dell'Aversana, Antonio Esposito, Daniele Regge, Samanta Rosati, Gabriella Balestra, Valentina Giannini

Int. J. Imaging Syst. Technol., 2025

2022

A Deep Learning model to segment liver metastases on CT images acquired at different time-points during chemotherapy.

Arianna Defeudis, Jovana Panic, Walter Guzzinati, Laura Pusceddu, Lorenzo Vassallo, Daniele Regge, Valentina Giannini

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study.

Jovana Panic, Arianna Defeudis, Simone Mazzetti, Samanta Rosati, Giuliana Giannetto, Monica Micilotta, Lorenzo Vassallo, Marco Gatti, Daniele Regge, Gabriella Balestra, Valentina Giannini

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2020

Deep learning to segment liver metastases on CT images: impact on a radiomics method to predict response to chemotherapy.

Valentina Giannini, Arianna Defeudis, Samanta Rosati, Giovanni Cappello, Lorenzo Vassallo, Simone Mazzetti, Jovana Panic, Daniele Regge, Gabriella Balestra

Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images.

Jovana Panic, Arianna Defeudis, Simone Mazzetti, Samanta Rosati, Giuliana Giannetto, Lorenzo Vassallo, Daniele Regge, Gabriella Balestra, Valentina Giannini

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2017

A Web- and Cloud- based Service for the Clinical Use of a CAD (Computer Aided Detection) System - Automated Detection of Lung Nodules in Thoracic CTs (Computed Tomographies).

Maria Evelina Fantacci, Alberto Traverso, Stefano Bagnasco, Christian Bracco, Delia Campanella, G. Chiara, Ernesto Lopez Torres, A. Manca, Daniele Regge, Marco Saletta, Michele Stasi, Sara Vallero, Lorenzo Vassallo, Piergiorgio Cerello

Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

1996

Context modeling and clustering in continuous speech recognition.

Jean-Claude Junqua, Lorenzo Vassallo

Proceedings of the 4th International Conference on Spoken Language Processing, 1996