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Giuseppe Jurman

Associate Professor

Humanitas University

Research Interests

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Articles (20)

Collaborators (8)

Simone Monaco

Ricercatori a tempo determinato

Polytechnic University of Turin

Fateme Nateghi Haredasht

Stanford University

UNITED STATES

Jonathan H. Chen

Assistant Professor

Stanford University School of Medicine

UNITED STATES

Jordi Martorell-Marugán

Junior Group Leader - Computational Neuroscience

LAURA AVANZINO

University of Genoa

James Teo

King’s College London

UNITED KINGDOM

Antonella Castellano

Ricercatore a tempo determinato - SSD MED/37

Vita-Salute San Raffaele University

Cristina Campi

Associate professor

Università degli Studi di Torino

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Giuseppe Jurman

Research Interests

Explore related searches

Articles (20)

Collaborators (8)

Simone Monaco

Fateme Nateghi Haredasht

Jonathan H. Chen

Jordi Martorell-Marugán

LAURA AVANZINO

James Teo

Antonella Castellano

Cristina Campi

Make your next move.

Giuseppe Jurman

Research Interests

Explore related searches

Articles (20)

Navigating the Artificial Intelligence Revolution in Clinical Neurology: A New Multidisciplinary Task Force Within the European Academy of Neurology

Deconver: A Deconvolutional Network for Medical Image Segmentation

Technology-enabled telerehabilitation for Parkinson’s disease: a scoping review of digital rehabilitation systems, delivery architectures, and implementation challenges

The landscape of artificial intelligence in neurodegenerative diseases: a systematic review

The advantages of our proposed Saturn coefficient over continuity and trustworthiness for UMAP dimensionality reduction evaluation

Machine Learning Predicts Risk of Falls in Parkison's Disease Patients in a Multicenter Observational Study

Comment on “Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper”

The Silhouette coefficient and the Davies-Bouldin index are more informative than Dunn index, Calinski-Harabasz index, Shannon entropy, and Gap statistic for unsupervised clustering internal evaluation of two convex clusters

The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clusters

A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics

Generative AI mitigates representation bias and improves model fairness through synthetic health data

The third wheel or the game changer? How AI could team up with neurologists in Parkinson's care

The Venus score for the assessment of the quality and trustworthiness of biomedical datasets

Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease

Neuropsychological tests and machine learning: identifying predictors of MCI and dementia progression

Reply to Comments on the Article “Machine Learning Predicts Risk of Falls in Parkinson's Disease Patients in a Multicenter Observational Study”

Artificial intelligence of imaging and clinical neurological data for predictive, preventive and personalized (P3) medicine for Parkinson Disease: The NeuroArtP3 protocol for a multi-center research study

AI models for automated segmentation of engineered polycystic kidney tubules

Explainable deep neural networks for predicting sample phenotypes from single-cell transcriptomics

Session-by-Session Prediction of Anti-Endothelial Growth Factor Injection Needs in Neovascular Age-Related Macular Degeneration Using Optical-Coherence-Tomography-Derived Features and Machine Learning

Collaborators (8)

Simone Monaco

Fateme Nateghi Haredasht

Jonathan H. Chen

Jordi Martorell-Marugán

LAURA AVANZINO

James Teo

Antonella Castellano

Cristina Campi

Make your next move.