Aldo Marzullo
According to our database1,
Aldo Marzullo
authored at least 26 papers
between 2016 and 2023.
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Bibliography
2023
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., October, 2023
FRSR: Framework for real-time scene reconstruction in robot-assisted minimally invasive surgery.
Comput. Biol. Medicine, September, 2023
2022
Medical Biol. Eng. Comput., 2022
Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome.
Frontiers Robotics AI, 2022
Robot-assisted ex vivo neobladder reconstruction: preliminary results of surgical skill evaluation.
Int. J. Comput. Assist. Radiol. Surg., 2022
Ensemble Learning for Multiple Sclerosis Disability Estimation Using Brain Structural Connectivity.
Brain Connect., 2022
Proceedings of the 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2022
2021
A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders.
Theory Pract. Log. Program., 2021
Multi-Sensor Guided Hand Gesture Recognition for a Teleoperated Robot Using a Recurrent Neural Network.
IEEE Robotics Autom. Lett., 2021
A transfer-learning approach for lesion detection in endoscopic images from the urinary tract.
CoRR, 2021
A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture.
CoRR, 2021
Comput. Methods Programs Biomed., 2021
Data augmentation using generative adversarial neural networks on brain structural connectivity in multiple sclerosis.
Comput. Methods Programs Biomed., 2021
Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy.
Int. J. Comput. Assist. Radiol. Surg., 2021
Proceedings of the 1st Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2021) co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2021), 2021
2020
A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Tensor Factorization of Brain Structural Graph for Unsupervised Classification in Multiple Sclerosis.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Blood Vessel Segmentation in Retinal Fundus Images Using Hypercube NeuroEvolution of Augmenting Topologies (HyperNEAT).
Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019
Prediction of Multiple Sclerosis Patient Disability from Structural Connectivity using Convolutional Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Mixing Logic Programming and Neural Networks to Support Neurological Disorders Analysis.
Proceedings of the Rules and Reasoning - Second International Joint Conference, 2018
Classification and Survival Prediction in Diffuse Large B-Cell Lymphoma by Gene Expression Profiling.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018
Graph based neural networks for automatic classification of multiple sclerosis clinical courses.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Proceedings of the Machine Learning, Optimization, and Big Data, 2017
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016