Luca Maria Sconfienza

According to our database, Luca Maria Sconfienza authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Dissimilar Similarities: Comparing Human and Statistical Similarity Evaluation in Medical AI.

Federico Cabitza, Lorenzo Famiglini, Andrea Campagner, Luca Maria Sconfienza, Stefano Fusco, Valerio Caccavella, Enrico Gallazzi

Proceedings of the Modeling Decisions for Artificial Intelligence, 2024

2023

Short-Term Precision and Repeatability of Radiofrequency Echographic Multi Spectrometry (REMS) on Lumbar Spine and Proximal Femur: An In Vivo Study.

Carmelo Messina, Salvatore Gitto, Roberta Colombo, Stefano Fusco, Giada Guagliardo, Mattia Piazza, Jacopo Carlo Poli, Domenico Albano, Luca Maria Sconfienza

J. Imaging, 2023

Rams, hounds and white boxes: Investigating human-AI collaboration protocols in medical diagnosis.

Federico Cabitza, Andrea Campagner, Luca Ronzio, Matteo Cameli, Giulia Elena Mandoli, Maria Concetta Pastore, Luca Maria Sconfienza, Duarte Folgado, Marília Barandas, Hugo Gamboa

Artif. Intell. Medicine, 2023

2022

Radiomics of Musculoskeletal Sarcomas: A Narrative Review.

Cristiana Fanciullo, Salvatore Gitto, Eleonora Carlicchi, Domenico Albano, Carmelo Messina, Luca Maria Sconfienza

J. Imaging, 2022

Frequency and anatomic variability of the mandibular lingual foramina: a cone-beam CT study.

Silvio Taschieri, Stefano Corbella, Amel Silnovic, Luca Francetti, Carmelo Messina, Luca Maria Sconfienza, Domenico Albano

BMC Medical Imaging, 2022

2021

Effects of Interobserver Variability on 2D and 3D CT- and MRI-Based Texture Feature Reproducibility of Cartilaginous Bone Tumors.

Salvatore Gitto, Renato Cuocolo, Ilaria Emili, Laura Tofanelli, Vito Chianca, Domenico Albano, Carmelo Messina, Massimo Imbriaco, Luca Maria Sconfienza

J. Digit. Imaging, 2021

Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading.

Federico Cabitza, Andrea Campagner, Luca Maria Sconfienza

Health Inf. Sci. Syst., 2021

2020

As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI.

Federico Cabitza, Andrea Campagner, Luca Maria Sconfienza

BMC Medical Informatics Decis. Mak., 2020

H-Accuracy, an Alternative Metric to Assess Classification Models in Medicine.

Andrea Campagner, Luca Maria Sconfienza, Federico Cabitza

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

2019

Potential use of a diluted high-relaxivity gadolinium-based intra-articular contrast agent for magnetic resonance arthrography: an in-vitro study.

Carmelo Messina, Domenico Albano, Davide Orlandi, Vito Chianca, Angelo Corazza, Federica Ferrari, Salvatore Gitto, Luca Maria Sconfienza

BMC Medical Imaging, 2019