University of Molise

Coronavirus covid-19 detection by means of explainable deep learning

Francesco Mercaldo, Maria Paola Belfiore, Alfonso Reginelli et al.

2023 · 43 Zit.

The Elephant in the Machine: Proposing a New Metric of Data Reliability and its Application to a Medical Case to Assess Classification Reliability

Federico Cabitza, Andrea Campagner, Domenico Albano et al.

2020 · 27 Zit.

Structured Reporting in Radiological Settings: Pitfalls and Perspectives

Vincenza Granata, Federica De Muzio, Carmen Cutolo et al.

2022 · 26 Zit.

The slow-paced digital evolution of pathology: lights and shadows from a multifaceted board

Alessandro Caputo, Vincenzo L’Imperio, Francesco Merolla et al.

2023 · 25 Zit.

How do Hugging Face Models Document Datasets, Bias, and Licenses? An Empirical Study

Federica Pepe, Vittoria Nardone, Antonio Mastropaolo et al.

2024 · 24 Zit.

Knowledge and use, perceptions of benefits and limitations of artificial intelligence chatbots among Italian physiotherapy students: a cross-sectional national study

Fabio Tortella, Alvisa Palese, Andrea Turolla et al.

2025 · 19 Zit.

Explainability of radiomics through formal methods

Giulia Varriano, Pasquale Guerriero, Antonella Santone et al.

2022 · 11 Zit.

Predicting risk of metastases and recurrence in soft-tissue sarcomas via Radiomics and Formal Methods

Roberto Casale, Giulia Varriano, Antonella Santone et al.

2023 · 9 Zit.

Closing the gap in the clinical adoption of computational pathology: a standardized, open-source framework to integrate deep-learning models into the laboratory information system

Miriam Angeloni, Davide Rizzi, Simon Schoen et al.

2025 · 8 Zit.

Digital odyssey: lessons learnt from a reverse transition from a digital to a manual pathology workflow

Alessandro Caputo, Miriam Angeloni, Francesco Merolla et al.

2024 · 6 Zit.

Deep Learning Models to Detect Anterior Cruciate Ligament Injury on MRI: A Comprehensive Review

Michele Mercurio, Federica Denami, Dimitra Melissaridou et al.

2025 · 3 Zit.

ChatGPT vs rheumatologists: cross-sectional study on accuracy and patient perception of AI-generated information for psoriatic arthritis

Giulio Forte, Daniele Mauro, Maura Raimondi et al.

2025 · 2 Zit.

An automatic radiomic-based approach for disease localization: A pilot study on COVID-19

Giulia Varriano, Vittoria Nardone, Simona Correra et al.

2024 · 2 Zit.

Editorial: Human and artificial collaboration for medical best practices

Maria-Antonietta Grasso, Remo Pareschi

2022 · 1 Zit.

Computational cost of CT Radiomics workflow: a case study on COVID-19

Giulia Varriano, Valeria Sorgente, Francesco Mercaldo et al.

2023 · 1 Zit.