Alfonso Reginelli

Orcid: 0000-0003-4809-6235

According to our database1, Alfonso Reginelli authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Bright Luminal Sign on High b-Value Diffusion-Weighted Magnetic Resonance Enterography Imaging as a New Biomarker to Predict Fibrotic Strictures in Crohn's Disease Patients: A Retrospective Preliminary Study.
J. Imaging, 2024

2022
A novel methodology for head and neck carcinoma treatment stage detection by means of model checking.
Artif. Intell. Medicine, 2022

2020
Radiomics for Gleason Score Detection through Deep Learning.
Sensors, 2020

Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays.
Comput. Methods Programs Biomed., 2020

An ensemble learning approach for brain cancer detection exploiting radiomic features.
Comput. Methods Programs Biomed., 2020

Lung Cancer Detection and Characterisation through Genomic and Radiomic Biomarkers.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Prostate Gleason Score Detection and Cancer Treatment Through Real-Time Formal Verification.
IEEE Access, 2019

Formal Modeling for Magnetic Resonance Images Tamper Mitigation.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Radiomic Features for Medical Images Tamper Detection by Equivalence Checking.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

A Blockchain Based Proposal for Protecting Healthcare Systems through Formal Methods.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Neural Networks for Lung Cancer Detection through Radiomic Features.
Proceedings of the International Joint Conference on Neural Networks, 2019


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