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Maria Evelina Fantacci

Associate Professor

University of Pisa

Italy

Research Interests

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Professors in Italy Professors in Medical Imaging Medical Imaging professors in Italy

Articles (16)

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2026

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2023

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2023

Collaborators (4)

Emanuele Neri

Docenti di ruolo di Ia fascia

University of Pisa

ITALY

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Piernicola Oliva

University of Pisa

ITALY

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Cosimo Nardi

Medical Doctor - Radiologist - PhD - Associate professor

University of Florence

ITALY

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Francesco Rizzetto

Radiologist

Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda

ITALY

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Maria Evelina Fantacci

Research Interests

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Articles (16)

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

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

An Explainable Deep Learning Framework for Lung Nodule Segmentation Using Attention Res-UNet and Multiple Attribution Methods

Deep Learning Model with Attention Mechanism for a 3D Pancreas Segmentation in CT Scans

An explainable-by-design end-to-end AI framework based on prototypical part learning for lesion detection and classification in Digital Breast Tomosynthesis images

A Model for a Linear a-Se Detector in Simulated X-Ray Breast Imaging With Monte Carlo Software

A Multi-input Deep Learning Model to Classify COVID-19 Pneumonia Severity from Imaging and Clinical Data

Characterization and Quantification of Image Quality in CT Imaging Systems: A Phantom Study

Explainability Applied to a Deep-Learning Based Algorithm for Lung Nodule Segmentation

Integration and Optimization of XNAT-Based Platforms for the Management of Heterogeneous and Multicenter Data in Biomedical Research

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

SC10.04 EVALUATION OF REPEATABILITY AND ROBUSTNESS OF CT-DERIVED RADIOMIC FEATURES USING A CUSTOM PHANTOM

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

COVID-19 SEVERITY PREDICTION BASED ON RADIOMIC FEATURES EXTRACTED FROM LUNG CT SCANS USING THE LUNGQUANT SEGMENTATION SOFTWARE

Deep Learning and Medical Image Analysis: Epistemology and Ethical Issues

Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report

Collaborators (4)

Emanuele Neri

Piernicola Oliva

Cosimo Nardi

Francesco Rizzetto

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