Deborah Fazzini

According to our database, Deborah Fazzini authored at least 15 papers between 2018 and 2026.

Collaborative distances:

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

2026

Automated PI-RADS 3-5 Classification Using Multiparametric MRI: A Comparative Study of Radiomics and Deep Learning Approaches.

Saman Fouladi, Isa Bossi Zanetti, Fatemeh Darvizeh, Rosario Di Meo, Luca Di Palma, Eros Cambie, Antonino Licata, Alessandro Maiocchi, Ernesto Damiani, Corrado Mio, Gabriele Gianini, Marco Alì, Deborah Fazzini

SN Comput. Sci., June, 2026

Cross Modality Image Translation In Medical Imaging Using Generative Frameworks.

Giulia Romoli, Alessia Capoccia, Filippo Ruffini, Francesco Di Feola, Luca Boldrini, Arturo Chiti, Renato Cuocolo, Tugba Akinci D'Antonoli, Fatemeh Darvizeh, Marcello Di Pumpo, Bradley J. Erickson, Liu Fang, Deborah Fazzini, Paola Feraco, Fabrizia Gelardi, Francesco Gossetti, Ana Isabel Hernáiz Ferrer, Michail E. Klontzas, Seyedmehdi Payabvash, Katrine Riklund, Sara N. Strandberg, Valerio Guarrasi, Paolo Soda

CoRR, May, 2026

ACGM: Attribute-Centric Graph Modeling Network for Concurrent Missing Tabular Data Imputation and COVID-19 Prognosis.

Zhuoru Wu, Wenting Chen, Xuechen Li, Filippo Ruffini, Shaonan Liu, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Xiaoling Luo, Valerio Guarrasi, Paolo Soda, Linlin Shen

IEEE J. Biomed. Health Informatics, April, 2026

Exploring UNet-based models for prostate lesion segmentation from multi-sequence MRI (T2W, ADC, DWI).

Saman Fouladi, Fatemeh Darvizeh, Gabriele Gianini, Rosario Di Meo, Luca Di Palma, Ernesto Damiani, Alessandro Maiocchi, Deborah Fazzini, Marco Alì

World Wide Web (WWW), February, 2026

XGeM: A multi-prompt foundation model for multimodal medical data generation.

Daniele Molino, Francesco Di Feola, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Linlin Shen, Valerio Guarrasi, Paolo Soda

Comput. Medical Imaging Graph., 2026

2025

Correction: Machine learning predicts pulmonary long Covid sequelae using clinical data.

Ermanno Cordelli, Paolo Soda, Sara Citter, Elia Schiavon, Christian Salvatore, Deborah Fazzini, Greta Clementi, Michaela Cellina, Andrea Cozzi, Chandra Bortolotto, Lorenzo Preda, Luisa Francini, Matteo Tortora, Isabella Castiglioni, Sergio Papa, Diego Sona, Marco Alì

BMC Medical Informatics Decis. Mak., December, 2025

MedCoDi-M: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation.

Daniele Molino, Francesco Di Feola, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Linlin Shen, Valerio Guarrasi, Paolo Soda

CoRR, January, 2025

Neural Network Models for Prostate Zones Segmentation in Magnetic Resonance Imaging.

Saman Fouladi, Luca Di Palma, Fatemeh Darvizeh, Deborah Fazzini, Alessandro Maiocchi, Sergio Papa, Gabriele Gianini, Marco Alì

Inf., 2025

A Federated Learning Architecture for Prostate MRI Image Segmentation.

Alice Bovio, Mario Barile, Francesco Pallotta, Lorenzo Pede, Alessandro Maiocchi, Marco Alì, Fatemeh Darvizeh, Deborah Fazzini, Francesco Lacavalla, Massimo Banzi, Gabriele Gianini, Corrado Mio, Filippo Berto, Ruslan Bondaruc, Ernesto Damiani, Saman Fouladi

Proceedings of the 4th Italian Conference on Big Data and Data Science (ITADATA 2025), 2025

2024

Machine learning predicts pulmonary Long Covid sequelae using clinical data.

Ermanno Cordelli, Paolo Soda, Sara Citter, Elia Schiavon, Christian Salvatore, Deborah Fazzini, Greta Clementi, Michaela Cellina, Andrea Cozzi, Chandra Bortolotto, Lorenzo Preda, Luisa Francini, Matteo Tortora, Isabella Castiglioni, Sergio Papa, Diego Sona, Marco Alì

BMC Medical Informatics Decis. Mak., December, 2024

Multimodal explainability via latent shift applied to COVID-19 stratification.

Valerio Guarrasi, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Paolo Soda

Pattern Recognit., 2024

Advanced Prostate MRI Analysis: UNET-Based Models for Zonal and Lesion Segmentation.

Saman Fouladi, Gabriele Gianini, Deborah Fazzini, Alessandro Maiocchi, Ernesto Damiani, Sergio Papa, Marco Alì

Proceedings of the Management of Digital EcoSystems - 16th International Conference, 2024

2021

AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study.

Paolo Soda, Natascha Claudia D'Amico, Jacopo Tessadori, Giovanni Valbusa, Valerio Guarrasi, Chandra Bortolotto, Muhammad Usman Akbar, Rosa Sicilia, Ermanno Cordelli, Deborah Fazzini, Michaela Cellina, Giancarlo Oliva, Giovanni Callea, Silvia Panella, Maurizio Cariati, Diletta Cozzi, Vittorio Miele, Elvira Stellato, Gianpaolo Carrafiello, Giulia Castorani, Annalisa Simeone, Lorenzo Preda, Giulio Iannello, Alessio Del Bue, Fabio Tedoldi, Marco Alì, Diego Sona, Sergio Papa

Medical Image Anal., 2021

2019

Tackling imbalance radiomics in acoustic neuroma.

Natascha Claudia D'Amico, Mario Merone, Rosa Sicilia, Ermanno Cordelli, Federico D'Antoni, Isa Bossi Zanetti, Giovanni Valbusa, Enzo Grossi, Giancarlo Beltramo, Deborah Fazzini, Giuseppe Scotti, Giulio Iannello, Paolo Soda

Int. J. Data Min. Bioinform., 2019

2018

Radiomics for Predicting CyberKnife response in acoustic neuroma: a pilot study.

Natascha Claudia D'Amico, Rosa Sicilia, Ermanno Cordelli, Giovanni Valbusa, Enzo Grossi, Isa Bossi Zanetti, Giancarlo Beltramo, Deborah Fazzini, Giuseppe Scotti, Giulio Iannello, Paolo Soda

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018