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2020 – today
- 2024
[c14]Aldo Marzullo, Marta Bianca Maria Ranzini:
Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? HC@AIxIA 2024: 158-168- [c13]Riccardo Levi, Aldo Marzullo
, Giovanni Savini, Victor Savevski, Letterio Salvatore Politi:
An Unet Boosting Training Strategy for the BraTS-ISBI 2024 Goat Challenge. ISBI 2024: 1-4 - [i5]Aldo Marzullo, Marta Bianca Maria Ranzini:
Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? CoRR abs/2411.09310 (2024) - 2023
- [j11]Ziyu She, Aldo Marzullo, Michela Destito, Maria Francesca Spadea, Riccardo Leone, Nicoletta Anzalone, Sara Steffanoni, Federico Erbella, Andrés J. M. Ferreri, Giancarlo Ferrigno, Teresa Calimeri, Elena De Momi:
Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma. Int. J. Comput. Assist. Radiol. Surg. 18(10): 1849-1856 (2023) - [j10]Ziyang Chen, Aldo Marzullo, Davide Alberti, Elena Lievore, Matteo Fontana, Ottavio De Cobelli, Gennaro Musi, Giancarlo Ferrigno, Elena De Momi:
FRSR: Framework for real-time scene reconstruction in robot-assisted minimally invasive surgery. Comput. Biol. Medicine 163: 107121 (2023) - 2022
- [j9]Berardino Barile, Aldo Marzullo, Claudio Stamile, Françoise Durand-Dubief, Dominique Sappey-Marinier:
Ensemble Learning for Multiple Sclerosis Disability Estimation Using Brain Structural Connectivity. Brain Connect. 12(5): 476-488 (2022) - [j8]Ziyang Chen, Serenella Terlizzi, Tommaso Da Col, Aldo Marzullo, Michele Catellani, Giancarlo Ferrigno, Elena De Momi:
Robot-assisted ex vivo neobladder reconstruction: preliminary results of surgical skill evaluation. Int. J. Comput. Assist. Radiol. Surg. 17(12): 2315-2323 (2022) - [j7]Berardino Barile, Pooya Ashtari, Claudio Stamile, Aldo Marzullo, Frederik Maes, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier:
Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome. Frontiers Robotics AI 9 (2022) - [j6]Moiz Khan Sherwani, Aldo Marzullo, Elena De Momi, Francesco Calimeri:
Lesion segmentation in lung CT scans using unsupervised adversarial learning. Medical Biol. Eng. Comput. 60(11): 3203-3215 (2022) - [c12]Ke Fan, Aldo Marzullo, Nicolò Pasini, Alberto Rota, Matteo Pecorella, Giancarlo Ferrigno, Elena De Momi:
A Unity-based Da Vinci Robot Simulator for Surgical Training. BioRob 2022: 1-6 - 2021
- [j5]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. Int. J. Comput. Assist. Radiol. Surg. 16(6): 915-922 (2021) - [j4]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) - [j3]Berardino Barile, Aldo Marzullo, Claudio Stamile, Françoise Durand-Dubief, Dominique Sappey-Marinier:
Data augmentation using generative adversarial neural networks on brain structural connectivity in multiple sclerosis. Comput. Methods Programs Biomed. 206: 106113 (2021) - [j2]Wen Qi, Salih Ertug Ovur, Zhijun Li, Aldo Marzullo, Rong Song:
Multi-Sensor Guided Hand Gesture Recognition for a Teleoperated Robot Using a Recurrent Neural Network. IEEE Robotics Autom. Lett. 6(3): 6039-6045 (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) - [c11]Aldo Marzullo, Martina Golini, Michele Catellani, Elena De Momi, Francesco Calimeri, Giuseppe Fiameni, Iuri Frosio:
Standard vs. Learning-based Codecs for Real Time Endoscopic Video Transmission. AIABI@AI*IA 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) - 2020
- [c10]Berardino Barile, Aldo Marzullo, Claudio Stamile, Françoise Durand-Dubief, Dominique Sappey-Marinier:
Tensor Factorization of Brain Structural Graph for Unsupervised Classification in Multiple Sclerosis. ICPR 2020: 5052-5059 - [c9]Jorge F. Lazo, Aldo Marzullo, Sara Moccia, Michele Catellani, Benoit Rosa, Francesco Calimeri, Michel de Mathelin, Elena De Momi:
A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture. ICPR 2020: 9203-9210
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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