Optic Disc Detection Using Fine Tuned Convolutional Neural Networks. - Francesco Calimeri; Aldo Marzullo; Claudio Stamile; Giorgio Terracina (SITIS, 2016)

A tensor-based mutation operator for Neuroevolution of Augmenting Topologies (NEAT). - Aldo Marzullo; Claudio Stamile; Giorgio Terracina; Francesco Calimeri; Sabine Van Huffel (CEC, 2017)

Biomedical Data Augmentation Using Generative Adversarial Neural Networks. - Francesco Calimeri; Aldo Marzullo; Claudio Stamile; Giorgio Terracina (ICANN (2), 2017)

BioHIPI: Biomedical Hadoop Image Processing Interface. - Francesco Calimeri; Mirco Caracciolo; Aldo Marzullo; Claudio Stamile (MOD, 2017)

Graph based neural networks for automatic classification of multiple sclerosis clinical courses. - Francesco Calimeri; Aldo Marzullo; Claudio Stamile; Giorgio Terracina (ESANN, 2018)

Classification and Survival Prediction in Diffuse Large B-Cell Lymphoma by Gene Expression Profiling. - Pierangela Bruno; Francesco Calimeri; Aldo Marzullo (LOD, 2018)

Mixing Logic Programming and Neural Networks to Support Neurological Disorders Analysis. - Francesco Calimeri; Francesco Cauteruccio; Aldo Marzullo; Claudio Stamile; Giorgio Terracina (RuleML+RR, 2018)

Prediction of Multiple Sclerosis Patient Disability from Structural Connectivity using Convolutional Neural Networks. - Aldo Marzullo; Gabriel Kocevar; Claudio Stamile; Francesco Calimeri; Giorgio Terracina; Françoise Durand-Dubief; Dominique Sappey-Marinier (EMBC, 2019)

Blood Vessel Segmentation in Retinal Fundus Images Using Hypercube NeuroEvolution of Augmenting Topologies (HyperNEAT). - Francesco Calimeri; Aldo Marzullo; Claudio Stamile; Giorgio Terracina (Quantifying and Processing Biomedical and Behavioral Signals, 2019)

Tensor Factorization of Brain Structural Graph for Unsupervised Classification in Multiple Sclerosis. - Berardino Barile; Aldo Marzullo; Claudio Stamile; Françoise Durand-Dubief; Dominique Sappey-Marinier (ICPR, 2020)

A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture. - Jorge F. Lazo; Aldo Marzullo; Sara Moccia; Michele Catellani; Benoit Rosa; Francesco Calimeri; Michel de Mathelin; Elena De Momi (ICPR, 2020)

Standard vs. Learning-based Codecs for Real Time Endoscopic Video Transmission. - Aldo Marzullo; Martina Golini; Michele Catellani; Elena De Momi; Francesco Calimeri; Giuseppe Fiameni; Iuri Frosio (AIABI@AI*IA, 2021)

Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy. - Jorge F. Lazo; Aldo Marzullo; Sara Moccia; Michele Catellani; Benoit Rosa; Michel de Mathelin; Elena De Momi (Int. J. Comput. Assist. Radiol. Surg., 2021)

Data augmentation using generative adversarial neural networks on brain structural connectivity in multiple sclerosis. - Berardino Barile; Aldo Marzullo; Claudio Stamile; Françoise Durand-Dubief; Dominique Sappey-Marinier (Comput. Methods Programs Biomed., 2021)

Towards realistic laparoscopic image generation using image-domain translation. - Aldo Marzullo; Sara Moccia; Michele Catellani; Francesco Calimeri; Elena De Momi (Comput. Methods Programs Biomed., 2021)

A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture. - Jorge F. Lazo; Aldo Marzullo; Sara Moccia; Michele Catellani; Benoit Rosa; Michel de Mathelin; Elena De Momi (CoRR, 2021)

A transfer-learning approach for lesion detection in endoscopic images from the urinary tract. - Jorge F. Lazo; Sara Moccia; Aldo Marzullo; Michele Catellani; Ottavio De Cobelli; Benoit Rosa; Michel de Mathelin; Elena De Momi (CoRR, 2021)

Multi-Sensor Guided Hand Gesture Recognition for a Teleoperated Robot Using a Recurrent Neural Network. - Wen Qi; Salih Ertug Ovur; Zhijun Li 001; Aldo Marzullo; Rong Song (IEEE Robotics Autom. Lett., 2021)

A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders. - Francesco Calimeri; Francesco Cauteruccio; Luca Cinelli; Aldo Marzullo; Claudio Stamile; Giorgio Terracina; Françoise Durand-Dubief; Dominique Sappey-Marinier (Theory Pract. Log. Program., 2021)

A Unity-based Da Vinci Robot Simulator for Surgical Training. - Ke Fan; Aldo Marzullo; Nicolò Pasini; Alberto Rota; Matteo Pecorella; Giancarlo Ferrigno; Elena De Momi (BioRob, 2022)

Ensemble Learning for Multiple Sclerosis Disability Estimation Using Brain Structural Connectivity. - Berardino Barile; Aldo Marzullo; Claudio Stamile; Françoise Durand-Dubief; Dominique Sappey-Marinier (Brain Connect., 2022)

Robot-assisted ex vivo neobladder reconstruction: preliminary results of surgical skill evaluation. - Ziyang Chen; Serenella Terlizzi; Tommaso Da Col; Aldo Marzullo; Michele Catellani; Giancarlo Ferrigno; Elena De Momi (Int. J. Comput. Assist. Radiol. Surg., 2022)

Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome. - Berardino Barile; Pooya Ashtari; Claudio Stamile; Aldo Marzullo; Frederik Maes; Françoise Durand-Dubief; Sabine Van Huffel; Dominique Sappey-Marinier (Frontiers Robotics AI, 2022)

Lesion segmentation in lung CT scans using unsupervised adversarial learning. - Moiz Khan Sherwani; Aldo Marzullo; Elena De Momi; Francesco Calimeri (Medical Biol. Eng. Comput., 2022)

FRSR: Framework for real-time scene reconstruction in robot-assisted minimally invasive surgery. - Ziyang Chen; Aldo Marzullo; Davide Alberti; Elena Lievore; Matteo Fontana; Ottavio De Cobelli; Gennaro Musi; Giancarlo Ferrigno; Elena De Momi (Comput. Biol. Medicine, 2023)

Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma. - 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 (Int. J. Comput. Assist. Radiol. Surg., 2023)

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet? - Aldo Marzullo; Marta Bianca Maria Ranzini (HC@AIxIA, 2024)

An Unet Boosting Training Strategy for the BraTS-ISBI 2024 Goat Challenge. - Riccardo Levi; Aldo Marzullo; Giovanni Savini; Victor Savevski; Letterio Salvatore Politi (ISBI, 2024)

Collecting and Analyzing IBD Clinical Data for Machine-Learning: Insights from an Italian Cohort. - Aldo Marzullo; Victor Savevski; Maddalena Menini; Alessandro Schilirò; Gianluca Franchellucci; Arianna Dal Buono; Cristina Bezzio; Roberto Gabbiadini; Cesare Hassan; Alessandro Repici; Alessandro Armuzzi (Data, 2025)