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Simone Saitta

6PUBLICATIONS
43CO-AUTHORS
TribologyPredictive and prognostic markersOptical technologySemi- and unsupervised learningData structures and algorithms
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Journal

Publications (6)

Sort by Publication Date:
|Jul 10, 2026
4D Flow MRI-Based Quantification of Tricuspid Regurgitation: A Possible Approach to Improve Measurement Repeatability.

|Sep 01, 2025
Artificial intelligence-based identification of thin-cap fibroatheromas and clinical outcomes: the PECTUS-AI study.

Rick H J A Volleberg, Thijs J Luttikholt, Ruben G A van der Waerden

|May 21, 2025
Comprehensive full-vessel segmentation and volumetric plaque quantification for intracoronary optical coherence tomography using deep learning.

Rick H J A Volleberg, Ruben G A van der Waerden, Thijs J Luttikholt

|Jan 11, 2025
Automatic 4D mitral valve segmentation from transesophageal echocardiography: a semi-supervised learning approach.

Riccardo Munafò, Simone Saitta, Davide Tondi

|Jan 25, 2024
A fully automated deep learning approach for coronary artery segmentation and comprehensive characterization.

Guido Nannini, Simone Saitta, Andrea Baggiano

|Jan 27, 2022
A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography.

Simone Saitta, Francesco Sturla, Alessandro Caimi

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Frequent Collaborators

3 joint publications

Emiliano Votta

3 joint publications

Alberto Redaelli

2 joint publications

Francesco Sturla

2 joint publications

Pierandrea Cancian

2 joint publications

Alessandra Riva

2 joint publications

Thijs J Luttikholt

2 joint publications

Ruben G A van der Waerden

2 joint publications

Joske L van der Zande

2 joint publications

Rick H J A Volleberg

2 joint publications

Davide Tondi

Frequent Collaborators

3 joint publications

Emiliano Votta

3 joint publications

Alberto Redaelli

2 joint publications

Francesco Sturla

2 joint publications

Pierandrea Cancian