Simone Saitta

About Simone Saitta

Simone Saitta, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Politecnico di Milano, specializes in the field of Computational hemodynamics, Medical image analysis, Machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Left Ventricle Diastolic Vortex Ring Characterization in Ischemic Cardiomyopathy: Insight into Atrio-ventricular Interplay

A fully automated deep learning approach for coronary artery segmentation and comprehensive characterization

Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI

The role of multiple re-entry tears in Type B aortic dissection progression: a longitudinal study using a controlled swine model

A Deep Learning-Based Fully Automated Pipeline for Regurgitant Mitral Valve Anatomy Analysis From 3D Echocardiography

Sistema e metodo per la valutazione morfo-funzionale del distretto vascolare toracico

Metodo e sistema per il perfezionamento di una procedura chirurgica virtuale

A CT-based deep learning system for automatic assessment of aortic root morphology for TAVI planning

Simone Saitta Information

University

Position

Imperial College London

Citations(all)

245

Citations(since 2020)

243

Cited By

35

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Simone Saitta Skills & Research Interests

Computational hemodynamics

Medical image analysis

Machine learning

Top articles of Simone Saitta

Left Ventricle Diastolic Vortex Ring Characterization in Ischemic Cardiomyopathy: Insight into Atrio-ventricular Interplay

Journal of Cardiovascular Magnetic Resonance

2024/3/1

A fully automated deep learning approach for coronary artery segmentation and comprehensive characterization

APL bioengineering

2024/3/1

Simone Saitta
Simone Saitta

H-Index: 3

Alberto Redaelli
Alberto Redaelli

H-Index: 39

Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI

Computer Methods and Programs in Biomedicine

2024/2/7

The role of multiple re-entry tears in Type B aortic dissection progression: a longitudinal study using a controlled swine model

Journal of Endovascular Therapy

2024/2

A Deep Learning-Based Fully Automated Pipeline for Regurgitant Mitral Valve Anatomy Analysis From 3D Echocardiography

IEEE Access

2024/1/4

Sistema e metodo per la valutazione morfo-funzionale del distretto vascolare toracico

2023

Metodo e sistema per il perfezionamento di una procedura chirurgica virtuale

2023

A CT-based deep learning system for automatic assessment of aortic root morphology for TAVI planning

Computers in Biology and Medicine

2023/9/1

Diastolic vortex ring derangements in ischemic cardiomyopathy left ventricles: a 4D Flow MRI study

European Heart Journal-Cardiovascular Imaging

2023/6

Data-driven approaches for quantification of complex biomarkers from medical imaging

2023/5/11

Simone Saitta
Simone Saitta

H-Index: 3

Data-driven generation of 4D velocity profiles in the aneurysmal ascending aorta

Computer Methods and Programs in Biomedicine

2023/5/1

Quantification of paravalvular leaks associated with TAVI implants using 4D MRI in an aortic root phantom made possible by the use of 3D printing

Frontiers in Cardiovascular Medicine

2023/1/19

METHOD AND SYSTEM FOR THE IMPROVEMENT OF A VIRTUAL SURGICAL PROCEDURE

2023

Comparison of four‐dimensional magnetic resonance imaging analysis of left ventricular fluid dynamics and energetics in ischemic and restrictive cardiomyopathies

Journal of Magnetic Resonance Imaging

2022/10

Mixed reality and deep learning for external ventricular drainage placement: A fast and automatic workflow for emergency treatments

2022/9/17

A deep learning-based and fully automated pipeline for thoracic aorta geometric analysis and planning for endovascular repair from computed tomography

Journal of digital imaging

2022/4

Wall Shear Stress estimation in cerebral aneurysm: combining CFD and 4D flow MRI with 4D variational data assimilation

2022

Non-invasive pressure estimation in cerebral aneurysm: comparison among 4D flow MRI, CFD and 4DVar

2022

Fast automatic segmentation of mitral valve structures from 3D transesophageal echocardiography for transcatheter procedures: training and validation of a 3D U-Net …

2022

Evaluation and verification of patient-specific modelling of type B aortic dissection

Computers in biology and medicine

2022/1/1

See List of Professors in Simone Saitta University(Politecnico di Milano)

Co-Authors

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