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2020 – today
- 2021
[j2]Aldo Marzullo, Sara Moccia
, Michele Catellani, Francesco Calimeri, Elena De Momi:
Towards realistic laparoscopic image generation using image-domain translation. Comput. Methods Programs Biomed. 200: 105834 (2021)- [j1]Francesco Calimeri, Francesco Cauteruccio, Luca Cinelli, Aldo Marzullo, Claudio Stamile, Giorgio Terracina, Françoise Durand-Dubief, Dominique Sappey-Marinier:
A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders. Theory Pract. Log. Program. 21(1): 80-124 (2021) - [i4]Jorge F. Lazo, Aldo Marzullo, Sara Moccia, Michele Catellani, Benoit Rosa, Michel de Mathelin, Elena De Momi:
A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture. CoRR abs/2101.05021 (2021) - [i3]Jorge F. Lazo, Aldo Marzullo, Sara Moccia, Michele Catellani, Benoit Rosa, Michel de Mathelin, Elena De Momi:
Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy. CoRR abs/2104.01985 (2021) - [i2]Jorge F. Lazo, Sara Moccia, Aldo Marzullo, Michele Catellani, Ottavio De Cobelli, Benoit Rosa, Michel de Mathelin, Elena De Momi:
A transfer-learning approach for lesion detection in endoscopic images from the urinary tract. CoRR abs/2104.03927 (2021)
2010 – 2019
- 2019
- [c8]Aldo Marzullo, Gabriel Kocevar, Claudio Stamile, Francesco Calimeri, Giorgio Terracina, Françoise Durand-Dubief, Dominique Sappey-Marinier:
Prediction of Multiple Sclerosis Patient Disability from Structural Connectivity using Convolutional Neural Networks. EMBC 2019: 2087-2090 - [p1]Francesco Calimeri, Aldo Marzullo, Claudio Stamile, Giorgio Terracina:
Blood Vessel Segmentation in Retinal Fundus Images Using Hypercube NeuroEvolution of Augmenting Topologies (HyperNEAT). Quantifying and Processing Biomedical and Behavioral Signals 2019: 173-183 - [i1]Francesco Calimeri, Francesco Cauteruccio, Luca Cinelli, Aldo Marzullo, Claudio Stamile, Giorgio Terracina, Françoise Durand-Dubief, Dominique Sappey-Marinier:
A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders. CoRR abs/1910.09472 (2019) - 2018
- [c7]Francesco Calimeri, Aldo Marzullo, Claudio Stamile, Giorgio Terracina:
Graph based neural networks for automatic classification of multiple sclerosis clinical courses. ESANN 2018 - [c6]Pierangela Bruno, Francesco Calimeri, Aldo Marzullo:
Classification and Survival Prediction in Diffuse Large B-Cell Lymphoma by Gene Expression Profiling. LOD 2018: 166-178 - [c5]Francesco Calimeri, Francesco Cauteruccio, Aldo Marzullo, Claudio Stamile, Giorgio Terracina:
Mixing Logic Programming and Neural Networks to Support Neurological Disorders Analysis. RuleML+RR 2018: 33-47 - 2017
- [c4]Aldo Marzullo, Claudio Stamile, Giorgio Terracina, Francesco Calimeri, Sabine Van Huffel:
A tensor-based mutation operator for Neuroevolution of Augmenting Topologies (NEAT). CEC 2017: 681-687 - [c3]Francesco Calimeri, Aldo Marzullo, Claudio Stamile, Giorgio Terracina:
Biomedical Data Augmentation Using Generative Adversarial Neural Networks. ICANN (2) 2017: 626-634 - [c2]Francesco Calimeri, Mirco Caracciolo, Aldo Marzullo, Claudio Stamile:
BioHIPI: Biomedical Hadoop Image Processing Interface. MOD 2017: 540-548 - 2016
- [c1]Francesco Calimeri, Aldo Marzullo, Claudio Stamile, Giorgio Terracina:
Optic Disc Detection Using Fine Tuned Convolutional Neural Networks. SITIS 2016: 69-75
Coauthor Index
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