Aldo Marzullo
Aldo Marzullo
Email confirmado em mat.unical.it
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Citado por
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Ano
Biomedical data augmentation using generative adversarial neural networks
F Calimeri, A Marzullo, C Stamile, G Terracina
International conference on artificial neural networks, 626-634, 2017
652017
Graph based neural networks for automatic classification of multiple sclerosis clinical courses.
F Calimeri, A Marzullo, C Stamile, G Terracina
ESANN, 2018
132018
Classification of multiple sclerosis clinical profiles via graph convolutional neural networks
A Marzullo, G Kocevar, C Stamile, F Durand-Dubief, G Terracina, ...
Frontiers in neuroscience 13, 594, 2019
122019
Optic disc detection using fine tuned convolutional neural networks
F Calimeri, A Marzullo, C Stamile, G Terracina
2016 12th International Conference on Signal-Image Technology & Internet …, 2016
122016
A logic-based framework leveraging neural networks for studying the evolution of neurological disorders
F Calimeri, F Cauteruccio, L Cinelli, A Marzullo, C Stamile, G Terracina, ...
arXiv preprint arXiv:1910.09472, 2019
52019
Mixing logic programming and neural networks to support neurological disorders analysis
F Calimeri, F Cauteruccio, A Marzullo, C Stamile, G Terracina
International Joint Conference on Rules and Reasoning, 33-47, 2018
42018
Towards realistic laparoscopic image generation using image-domain translation
A Marzullo, S Moccia, M Catellani, F Calimeri, E De Momi
Computer Methods and Programs in Biomedicine 200, 105834, 2021
22021
Blood vessel segmentation in retinal fundus images using Hypercube NeuroEvolution of augmenting topologies (HyperNEAT)
F Calimeri, A Marzullo, C Stamile, G Terracina
Italian Workshop on Neural Nets, 173-183, 2017
22017
Classification and survival prediction in Diffuse Large B-cell Lymphoma by gene expression profiling
P Bruno, F Calimeri, A Marzullo
International Conference on Machine Learning, Optimization, and Data Science …, 2018
12018
BioHIPI: biomedical hadoop image processing interface
F Calimeri, M Caracciolo, A Marzullo, C Stamile
International Workshop on Machine Learning, Optimization, and Big Data, 540-548, 2017
12017
A tensor-based mutation operator for Neuroevolution of Augmenting Topologies (NEAT)
A Marzullo, C Stamile, G Terracina, F Calimeri, S Van Huffel
2017 IEEE Congress on Evolutionary Computation (CEC), 681-687, 2017
12017
An Open-Source COVID-19 CT Dataset with Automatic Lung Tissue Classification for Radiomics
P Zaffino, A Marzullo, S Moccia, F Calimeri, E De Momi, B Bertucci, ...
Bioengineering 8 (2), 26, 2021
2021
Microstructural Changes in the Left Mesocorticolimbic Pathway are Associated with the Comorbid Development of Fatigue and Depression in Multiple Sclerosis
M Palotai, C Small, N Makris, NG Somes, AM Pinzon, Y Rathi, A Marzullo, ...
Journal of Neuroimaging, 2021
2021
A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture
JF Lazo, A Marzullo, S Moccia, M Catellani, B Rosa, M de Mathelin, ...
arXiv preprint arXiv:2101.05021, 2021
2021
Artificial intelligence for brain diseases: A systematic review
A Segato, A Marzullo, F Calimeri, E De Momi
APL bioengineering 4 (4), 041503, 2020
2020
Deep Learning and Graph Theory for Brain Connectivity Analysis in Multiple Sclerosis
A Marzullo
Université de Lyon; Università degli studi della Calabria, 2020
2020
Prediction of Multiple Sclerosis Patient Disability from Structural Connectivity using Convolutional Neural Networks
A Marzullo, G Kocevar, C Stamile, F Calimeri, G Terracina, ...
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
2019
Inducing Clinical Course Variations in Multiple Sclerosis White Matter Networks
G Melissari, A Marzullo, C Stamile, F Calimeri, F Durand-Dubief, ...
Intelligent Computing-Proceedings of the Computing Conference, 900-917, 2019
2019
Exploiting Heterogeneous Data for Automatic Classification of Multiple Sclerosis Clinical Forms through Neural Networks
A Marzullo, C Stamile, G Kocevar, F Calimeri, G Terracina, ...
ISMRM Annual Meeting, Montreal, 2019
2019
Exploitation de données hétérogènes d'IRM de diffusion pour la classification automatique des formes cliniques de sclérose en plaques par une nouvelle approche de réseaux de …
A Marzullo, C Stamile, G Kocevar, F Calimeri, G Terracina, ...
4ème Congrès de la SFRMBM, 2019
2019
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