Luca Brunese

Orcid: 0000-0002-4666-0544

According to our database1, Luca Brunese authored at least 23 papers between 2019 and 2024.

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Bibliography

2024
Extreme Learning Machine for Biomedical Image Classification: A Multi-Case Study.
EAI Endorsed Trans. Pervasive Health Technol., 2024

Spiral Drawing Test and Explainable Convolutional Neural Networks for Parkinson's Disease Detection.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Detecting Retinal Fundus Image Synthesis by Means of Generative Adversarial Network.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation.
Sensors, September, 2023

Computational cost of CT Radiomics workflow: a case study on COVID-19.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022
Explainability of radiomics through formal methods.
Comput. Methods Programs Biomed., 2022

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

Automatic Gleason Score Diagnosis with Fuzzy Classification and Radiomic Features.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021
Numerical Investigation of a Thermal Ablation Porous Media-Based Model for Tumoral Tissue with Variable Porosity.
Comput., 2021

Numerical analysis of the pulsating heat source effects in a tumor tissue.
Comput. Methods Programs Biomed., 2021

Thermal Ablation Treatment Detection by means of Machine Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Methodology based on Formal Methods for Thermal Ablation Area Detection.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

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

Machine learning for coronavirus covid-19 detection from chest x-rays.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Deep learning for heart disease detection through cardiac sounds.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 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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