Giuseppe Baselli

Full Professor

Politecnico di Milano

Italy

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About

Giuseppe Baselli is a Full Professor at Politecnico di Milano, Italy. His research areas include the application of advanced imaging techniques and artificial intelligence in neuromuscular disorders, Alzheimer’s disease classification, and cerebrovascular dynamics. He has recently published articles addressing multi-class muscle segmentation in MR images, the impact of anatomical variability on fNIRS-MRI integration, and real-time monitoring of cerebrovascular flow. His work emphasizes the integration of innovative methodologies to enhance diagnostic accuracy in medical imaging.

Articles (12)

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2025

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2025

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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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2022

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2022

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2022

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2022

Collaborators (9)

FRANCESCO CASELLA

Associate Professor

Politecnico di Milano

ITALY

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Liang Zhan

Assistant Professor

University of Pittsburgh

UNITED STATES

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Anna M. Bianchi

Prof.

Politecnico di Milano

ITALY

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Chiarella Sforza

Full professor

Università degli Studi di Torino

ITALY

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Mirja Tenhunen

University of Tampere

FINLAND

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Francesca Sangiuliano Intra

Libera Università di Bolzano

ITALY

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gianluca tartaglia

prof

Università degli Studi di Torino

ITALY

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Massimo Rivolta

University of Milan

ITALY

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Alberto Caprioglio

Associate Professor of Dentistry

University of Milan

ITALY

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Giuseppe Baselli

Research Interests

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About

Articles (12)

Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification

Exploring foundation models for multi-class muscle segmentation in MR images of neuromuscular disorders: A comparative analysis of accuracy and uncertainty

Accuracy of automated 3D cephalometric landmarks by deep learning algorithms: systematic review and meta-analysis

Impact of Anatomical Variability on Sensitivity Profile in fNIRS–MRI Integration

Multi-Scale Evaluation of Sleep Quality Based on Motion Signal from Unobtrusive Device

A Multiple Emergency Ventilator as Backup Solution in Pandemic: A Specifically Designed and Dimensioned Device

Cephalometric measurements performed on CBCT and reconstructed lateral cephalograms: a cross-sectional study providing a quantitative approach of differences and bias

Whole-Head Functional Near-Infrared Spectroscopy as an Ecological Monitoring Tool for Assessing Cortical Activity in Parkinson’s Disease Patients at Different Stages

Validation of SART 3.5D algorithm for cerebrovascular dynamics and artery versus vein classification in presurgical 3D digital subtraction angiographies

Cardiac and Respiratory Influences on Intracranial and Neck Venous Flow, Estimated Using Real-Time Phase-Contrast MRI

Real-Time Phase-Contrast MRI to Monitor Cervical Blood and Cerebrospinal Fluid Flow Beat-by-Beat Variability

3D Cephalometric Normality Range: Auto Contractive Maps (ACM) Analysis in Selected Caucasian Skeletal Class I Age Groups

Collaborators (9)

FRANCESCO CASELLA

Liang Zhan

Anna M. Bianchi

Chiarella Sforza

Mirja Tenhunen

Francesca Sangiuliano Intra

gianluca tartaglia

Massimo Rivolta

Alberto Caprioglio

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