Aldo Marzullo

According to our database1, Aldo Marzullo authored at least 27 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
An Unet Boosting Training Strategy for the BraTS-ISBI 2024 Goat Challenge.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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
Lesion segmentation in lung CT scans using unsupervised adversarial learning.
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

A Unity-based Da Vinci Robot Simulator for Surgical Training.
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

Towards realistic laparoscopic image generation using image-domain translation.
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

Standard vs. Learning-based Codecs for Real Time Endoscopic Video Transmission.
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
BioHIPI: Biomedical Hadoop Image Processing Interface.
Proceedings of the Machine Learning, Optimization, and Big Data, 2017

Biomedical Data Augmentation Using Generative Adversarial Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

A tensor-based mutation operator for Neuroevolution of Augmenting Topologies (NEAT).
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Optic Disc Detection Using Fine Tuned Convolutional Neural Networks.
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016


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