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Francesco Ponzio
Francesco Ponzio
Postdoctoral researcher, Department of Control and Computer Engineering, Politecnico di Torino
Verified email at polito.it
Title
Cited by
Cited by
Year
Colorectal cancer classification using deep convolutional networks
F Ponzio, E Macii, E Ficarra, S Di Cataldo
Proceedings of the 11th international joint conference on biomedical …, 2018
672018
Dealing with Lack of Training Data for Convolutional Neural Networks: The Case of Digital Pathology
P Francesco, U Gianvito, F Elisa, DC Santa
Electronics 8 (3), 2019
302019
A human-computer interface based on the “voluntary” pupil accommodative response
F Ponzio, AEL Villalobos, L Mesin, C De'Sperati, S Roatta
International Journal of Human-Computer Studies 126, 53-63, 2019
192019
Exploiting “uncertain” deep networks for data cleaning in digital pathology
F Ponzio, G Deodato, E Macii, S Di Cataldo, E Ficarra
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1139-1143, 2020
132020
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations
A Mascolini, D Cardamone, F Ponzio, S Di Cataldo, E Ficarra
BMC bioinformatics 23 (1), 295, 2022
122022
Detection of inferior Vena Cava in ultrasound scans through a deep learning model
P Policastro, G Chiarion, F Ponzio, L Ermini, S Civera, S Albani, ...
Electronics 12 (7), 1725, 2023
42023
e-Pupil: IoT-based Augmentative and Alternative Communication device exploiting the pupillary near-reflex
G Chiarion, F Ponzio, S Terna, C Moglia, E Patti, S Di Cataldo, S Roatta
IEEE Access 10, 130078-130088, 2022
32022
A novel proof-of-concept framework for the exploitation of convnets on whole slide images
A Mascolini, S Puzzo, G Incatasciato, F Ponzio, E Ficarra, S Di Cataldo
Progresses in Artificial Intelligence and Neural Systems, 125-136, 2021
32021
A Multi-modal Brain Image Registration Framework for US-guided Neuronavigation Systems-Integrating MR and US for Minimally Invasive Neuroimaging.
F Ponzio, E Macii, E Ficarra, S Di Cataldo
BIOIMAGING, 114-121, 2017
32017
W2wnet: A two-module probabilistic convolutional neural network with embedded data cleansing functionality
F Ponzio, E Macii, E Ficarra, S Di Cataldo
Expert Systems with Applications 214, 119121, 2023
22023
Going deeper into colorectal cancer histopathology
F Ponzio, E Macii, E Ficarra, S Di Cataldo
Biomedical Engineering Systems and Technologies: 11th International Joint …, 2019
22019
A Machine Learning Approach to Support Treatment Identification for Chiari I Malformation
L Mesin, F Ponzio, CF Carlino, M Lenge, A Noris, MC Leo, M Sica, ...
Applied Sciences 12 (18), 9039, 2022
12022
A bayesian approach to expert gate incremental learning
V Mieuli, F Ponzio, A Mascolini, E Macii, E Ficarra, S Di Cataldo
2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021
12021
A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring
S Gaiardelli, N Dall’Ora, F Ponzio, E Fraccaroli, F Fummi, S DI CATALDO, ...
Titolo volume non avvalorato, 2024
2024
An AI-Enabled Framework for Smart Semiconductor Manufacturing
KSS Alamin, D Appello, A Beghi, N Dall’Ora, F Depaoli, S DI CATALDO, ...
Titolo volume non avvalorato, 2024
2024
Machine learning-enabled real-time anomaly detection for electron beam powder bed fusion additive manufacturing
D Cannizzaro, P Antonioni, F Ponzio, M Galati, E Patti, S Di Cataldo
Journal of Intelligent Manufacturing, 1-15, 2024
2024
Radiomics for differentiation of gliomas from primary central nervous system lymphomas: a systematic review and meta-analysis
A Garaba, N Aslam, F Ponzio, PP Panciani, W Brinjikji, M Fontanella, ...
Frontiers in Oncology 14, 2024
2024
Radiomics for Differentiation of Pediatric Posterior Fossa Tumors: A Meta-Analysis and Systematic Review of the Literature
A Garaba, F Ponzio, EA Grasso, W Brinjikji, MM Fontanella, L De Maria
Cancers 15 (24), 5891, 2023
2023
Cigarette Smoking and Intracranial Aneurysms: A Pilot Analysis of SNPs in the CYP2A6 Gene in the Italian Population
E Ferrari, C Cornali, A Fiorindi, E Agosti, S Gallone, E Rubino, F Ponzio, ...
World Neurosurgery 179, e492-e499, 2023
2023
Robotic Arm Dataset (RoAD): A Dataset to Support the Design and Test of Machine Learning-Driven Anomaly Detection in a Production Line
A Mascolini, S Gaiardelli, F Ponzio, N Dall'Ora, E Macii, S Vinco, ...
IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society …, 2023
2023
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