Mariachiara Di Cosmo

According to our database, Mariachiara Di Cosmo authored at least 14 papers between 2017 and 2026.

Collaborative distances:

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

2026

Machine Learning-Based Clinical Decision Support System for Hepatic Fibrosis Risk Prediction in General Practice.

Michele Bernardini, Mariachiara Di Cosmo, Gaia Barone, Luca Romeo, Emanuele Frontoni

ACM Trans. Comput. Heal., April, 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

Moving AI into Clinical Practice: A Trustworthy Approach to Overcome Barriers in Real-World Implementation.

Mariachiara Di Cosmo

PhD thesis, 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

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

Federated Learning Towards the Unknown: A Deep Dive Into Diabetic Retinopathy Prediction from Real-World EHR Structured Data on Unseen Diabetic Centers.

Alessandro Cacciatore, Mariachiara Di Cosmo, Emanuele Frontoni, Michele Bernardini

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2025

Type 2 Diabetes Prediction from Multi-center Electronic Health Records in General Practice Using Machine Learning.

Max Rerisi, Mariachiara Di Cosmo, Michele Bernardini, Luca Romeo

Proceedings of the Artificial Intelligence for Biomedical Data, 2025

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

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

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

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

2020

Development of an Augmented Reality System Based on Marker Tracking for Robotic Assisted Minimally Invasive Spine Surgery.

Francesca Pia Villani, Mariachiara Di Cosmo, Álvaro Bertelsen Simonetti, Emanuele Frontoni, Sara Moccia

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2017

Quantification of Fetal ST-Segment Deviations.

Angela Agostinelli, Mariachiara Di Cosmo, Agnese Sbrollini, Luca Burattini, Micaela Morettini, Francesco Di Nardo, Sandro Fioretti, Laura Burattini

Proceedings of the Computing in Cardiology, 2017