Francesca Lizzi

Pisa, Italy

Last Updated: 09/26/2026

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Found 10 publications

Efficient machine learning models leveraging DCE-MRI morphological and dynamic features allow accurate breast lesion classification.

Efficient machine learning models leveraging DCE-MRI morphological and dynamic features allow accurate breast lesion classification.

Journal: Biomedical physics & engineering express

Published: February 11, 2026

DeLTA-BIT: an open-source probabilistic tractography-based deep learning framework for thalamic targeting in functional neurological disorders.

DeLTA-BIT: an open-source probabilistic tractography-based deep learning framework for thalamic targeting in functional neurological disorders.

Journal: ArXiv

Published: February 06, 2026

Denoising of low-dose chest computed tomography images using a U-net based convolutional autoencoder and transfer learning.

Denoising of low-dose chest computed tomography images using a U-net based convolutional autoencoder and transfer learning.

Journal: Biomedical physics & engineering express

Published: December 18, 2025

Radiomics and Deep Learning Interplay for Predicting MGMT Methylation in Glioblastoma: The Crucial Role of Segmentation Quality.

Radiomics and Deep Learning Interplay for Predicting MGMT Methylation in Glioblastoma: The Crucial Role of Segmentation Quality.

Journal: Cancers

Published: September 23, 2025

Myo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in neuromuscular disorders.

Myo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in neuromuscular disorders.

Journal: Computer methods and programs in biomedicine

Published: June 06, 2024

Investigation of a potential upstream harmonization based on image appearance matching to improve radiomics features robustness: a phantom study.

Investigation of a potential upstream harmonization based on image appearance matching to improve radiomics features robustness: a phantom study.

Journal: Biomedical physics & engineering express

Published: October 27, 2023

Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders.

Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders.

Journal: Brain informatics

Published: September 20, 2023

A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia.

A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia.

Journal: European radiology experimental

Published: November 01, 2022

Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients.

Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients.

Journal: IEEE transactions on technology and society

Published: December 08, 2021

Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria.

Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria.

Journal: International journal of computer assisted radiology and surgery

Published: April 26, 2021

Showing 1-10 of 10

Last Updated: 09/26/2026