Maria Chiara Fiorentino

According to our database, Maria Chiara Fiorentino authored at least 30 papers between 2018 and 2026.

Collaborative distances:

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

2026

From classification to landmark-aware identification: a multi-task multilabel approach for fetal brain ultrasound planes.

Maria Chiara Fiorentino, Riccardo Rosati, Edoardo Conti, Costantino Tigano, Adriano Mancini

Neural Comput. Appl., June, 2026

From Kellgren-Lawrence to Calcium Pyrophosphate Crystal Deposition: A Soft-Labelling Framework for Knee Osteoarthritis Assessmen.

Francisco Bérchez-Moreno, Riccardo Rosati, Maria Chiara Fiorentino, Víctor Manuel Vargas Yun, Edoardo Cipolletta, Emilio Filippucci, Luca Romeo, Pedro Antonio Gutiérrez, César Hervás-Martínez

CoRR, May, 2026

FetalMLOps: operationalizing machine learning models for standard fetal ultrasound plane classification.

Matteo Testi, Maria Chiara Fiorentino, Matteo Ballabio, Giorgio Visani, Massimo Ciccozzi, Emanuele Frontoni, Sara Moccia, Gennaro Vessio

Medical Biol. Eng. Comput., January, 2026

Adapt or specialize? A comprehensive evaluation of adapted SAM versus task-specific CNNs for fetal abdominal segmentation.

Maria Chiara Fiorentino, Lorenzo Federici, Alessandro Pietro La Camera, Enrico Gianluca Caiani

Comput. Methods Programs Biomed., 2026

Two-step latent diffusion modelling for morphology-guided synthesis of glioma intraoperative ultrasound images.

Angelo Lasala, Maria Chiara Fiorentino, Andrea Bandini, Sara Moccia, Stamatia Giannarou

Biomed. Signal Process. Control., 2026

2025

FedStenoNet X-ray Coronary Angiography Dataset for Stenosis Detection.

Mariachiara Di Cosmo, Giovanna Migliorelli, Francesca Pia Villani, Matteo Francioni, Andi Mucaj, Emanuele Frontoni, Sara Moccia, Maria Chiara Fiorentino

Dataset, October, 2025

Contrastive prototype federated learning against noisy labels in fetal standard plane detection.

Maria Chiara Fiorentino, Giovanna Migliorelli, Francesca Pia Villani, Emanuele Frontoni, Sara Moccia

Int. J. Comput. Assist. Radiol. Surg., July, 2025

Uncovering ethical biases in publicly available fetal ultrasound datasets.

Maria Chiara Fiorentino, Sara Moccia, Mariachiara Di Cosmo, Emanuele Frontoni, Benedetta Giovanola, Simona Tiribelli

npj Digit. Medicine, 2025

A Deep-Learning Approach for Vocal Fold Pose Estimation in Videoendoscopy.

Francesca Pia Villani, Maria Chiara Fiorentino, Lorenzo Federici, Cesare Piazza, Emanuele Frontoni, Alberto Paderno, Sara Moccia

J. Imaging Inform. Medicine, 2025

FedStenoNet: tackling domain shift in x-ray coronary angiography through a personalized federated detection framework.

Mariachiara Di Cosmo, Giovanna Migliorelli, Francesca Pia Villani, Matteo Francioni, Andi Mucaj, Emanuele Frontoni, Sara Moccia, Maria Chiara Fiorentino

Comput. Biol. Medicine, 2025

Automatic Quality Assurance and Subcortical Brain Segmentation in Pediatric Ultra-Low-Field MRI: Exploring Ordinal Learning and Foundation Model Adaptation.

Raquel González López, Maria Chiara Fiorentino, Gerard Martí-Juan, Oscar Camara, Miguel Ángel González Ballester

Proceedings of the Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance, 2025

2024

An intensity-based self-supervised domain adaptation method for intervertebral disc segmentation in magnetic resonance imaging.

Maria Chiara Fiorentino, Francesca Pia Villani, Rafael Benito Herce, Miguel Ángel González Ballester, Adriano Mancini, Karen López-Linares Román

Int. J. Comput. Assist. Radiol. Surg., September, 2024

Generalizability and robustness evaluation of attribute-based zero-shot learning.

Luca Rossi, Maria Chiara Fiorentino, Adriano Mancini, Marina Paolanti, Riccardo Rosati, Primo Zingaretti

Neural Networks, 2024

FetalBrainAwareNet: Bridging GANs with anatomical insight for fetal ultrasound brain plane synthesis.

Angelo Lasala, Maria Chiara Fiorentino, Andrea Bandini, Sara Moccia

Comput. Medical Imaging Graph., 2024

On the use of contrastive learning for standard-plane classification in fetal ultrasound imaging.

Giovanna Migliorelli, Maria Chiara Fiorentino, Mariachiara Di Cosmo, Francesca Pia Villani, Adriano Mancini, Sara Moccia

Comput. Biol. Medicine, 2024

Vision Transformer Approaches for COVID-19 Pneumonia Assessment in Lung Ultrasound Images.

Maria Chiara Fiorentino, Riccardo Rosati, Andrian Melnic, Edoardo Conti, Primo Zingaretti

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

A Multi-Task Deep Learning Approach for the Assessment of COVID-19 in Lung Ultrasound.

Maria Chiara Fiorentino, Riccardo Rosati, Lorenzo Federici, Primo Zingaretti

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

2023

A review on deep-learning algorithms for fetal ultrasound-image analysis.

Maria Chiara Fiorentino, Francesca Pia Villani, Mariachiara Di Cosmo, Emanuele Frontoni, Sara Moccia

Medical Image Anal., 2023

A Federated Learning Framework for Stenosis Detection.

Mariachiara Di Cosmo, Giovanna Migliorelli, Matteo Francioni, Andi Mucaj, Alessandro Maolo, Alessandro Aprile, Emanuele Frontoni, Maria Chiara Fiorentino, Sara Moccia

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Classifying Vocal Folds Fixation from Endoscopic Videos with Machine Learning.

Francesca Pia Villani, Alberto Paderno, Maria Chiara Fiorentino, Alessandro Casella, Cesare Piazza, Sara Moccia

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Exploiting class activation mappings as prior to generate fetal brain ultrasound images with GANs.

Angelo Lasala, Maria Chiara Fiorentino, Silvestro Micera, Andrea Bandini, Sara Moccia

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

A deep learning approach to median nerve evaluation in ultrasound images of carpal tunnel inlet.

Mariachiara Di Cosmo, Maria Chiara Fiorentino, Francesca Pia Villani, Emanuele Frontoni, Gianluca Smerilli, Emilio Filippucci, Sara Moccia

Medical Biol. Eng. Comput., 2022

A deep-learning framework for metacarpal-head cartilage-thickness estimation in ultrasound rheumatological images.

Maria Chiara Fiorentino, Edoardo Cipolletta, Emilio Filippucci, Walter Grassi, Emanuele Frontoni, Sara Moccia

Comput. Biol. Medicine, 2022

2021

A regression framework to head-circumference delineation from US fetal images.

Maria Chiara Fiorentino, Sara Moccia, Morris Capparuccini, Sara Giamberini, Emanuele Frontoni

Comput. Methods Programs Biomed., 2021

Mask-R²CNN: a distance-field regression version of Mask-RCNN for fetal-head delineation in ultrasound images.

Sara Moccia, Maria Chiara Fiorentino, Emanuele Frontoni

Int. J. Comput. Assist. Radiol. Surg., 2021

Learning-Based Median Nerve Segmentation From Ultrasound Images For Carpal Tunnel Syndrome Evaluation.

Mariachiara Di Cosmo, Maria Chiara Fiorentino, Francesca Pia Villani, Gianmarco Sartini, Gianluca Smerilli, Emilio Filippucci, Emanuele Frontoni, Sara Moccia

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019

MyDi application: Towards automatic activity annotation of young patients with Type 1 diabetes.

Lucia Migliorelli, Sara Moccia, Ismaela Avellino, Maria Chiara Fiorentino, Emanuele Frontoni

Proceedings of the IEEE 23rd International Symposium on Consumer Technologies, 2019

A Learning Approach for Informative-Frame Selection in US Rheumatology Images.

Maria Chiara Fiorentino, Sara Moccia, Edoardo Cipolletta, Emilio Filippucci, Emanuele Frontoni

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

Design and Implementation of a Real-Time Upper Limbs Dyskinesia Detection System.

Giulia Belgiovine, Marianna Capecci, Lucio Ciabattoni, Maria Chiara Fiorentino, Gabriele Foresi, Andrea Monteriù, Lucia Pepa

Proceedings of the IEEE International Conference on Consumer Electronics, 2019

2018

Upper and Lower Limbs Dyskinesia Detection for Patients with Parkinson's Disease.

Giulia Belgiovine, Marianna Capecci, Lucio Ciabattoni, Maria Chiara Fiorentino, Gabriele Foresi, Andrea Monteriù, Lucia Pepa

Proceedings of the IEEE 7th Global Conference on Consumer Electronics, 2018