Aldo Marzullo

Assistant Professor

Politecnico di Torino

Italy

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About

Aldo Marzullo is an Assistant Professor at Politecnico di Milano in Italy. His research encompasses deep learning applications in medical imaging, particularly focusing on cancer survival prediction models and robotic-assisted surgeries. Recent publications highlight his expertise in using machine learning for neurological disorder classification and structural connectivity analysis in multiple sclerosis.

Articles (10)

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

Collaborators (8)

Paolo Zaffino

Assistant Professor of Bioengineering

Università degli Studi Mediterranea di Reggio Calabria

ITALY

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Francesco Calimeri

Associate Professor

University of Calabria

ITALY

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Giorgio Terracina

Prof. Ordinario settore INF/01 - Informatica

University of Calabria

ITALY

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Giancarlo Ferrigno

Full Professor

Politecnico di Milano

ITALY

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Maria Francesca Spadea

University of Catanzaro

ITALY

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Francesco Cauteruccio

Assistant Professor

Università Politecnica delle Marche

ITALY

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nicoletta anzalone

professore associato

Università Vita Salute San Raffaele

ITALY

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Moiz Khan Sherwani

Københavns Universitet

DENMARK

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Aldo Marzullo

Research Interests

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About

Articles (10)

FRSR: Framework for real-time scene reconstruction in robot-assisted minimally invasive surgery

Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma Patients

Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma

Lesion segmentation in lung CT scans using unsupervised adversarial learning

Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome

Ensemble Learning for Multiple Sclerosis Disability Estimation Using Brain Structural Connectivity

Robot-assisted ex vivo neobladder reconstruction: preliminary results of surgical skill evaluation

A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders

An Open-Source COVID-19 CT Dataset with Automatic Lung Tissue Classification for Radiomics

Data augmentation using generative adversarial neural networks on brain structural connectivity in multiple sclerosis

Collaborators (8)

Paolo Zaffino

Francesco Calimeri

Giorgio Terracina

Giancarlo Ferrigno

Maria Francesca Spadea

Francesco Cauteruccio

nicoletta anzalone

Moiz Khan Sherwani

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