Doctor Andrea Guala

Doctor Andrea Guala

University Hospital Vall d'Hebron, Barcelona (Spain)

Member of:

European Association of Cardiovascular Imaging

Andrea Guala completed a Ph.D. at the Politecnico of Turin, designing a multi-scale model of the heart-arterial interaction and a subject-specific setting procedure based on non-invasive measurements. Since May 2016 he works on cardiac imaging at Vall d'Hebron Hospital (Barcelona, Spain), where he mainly works on multi-modality imaging in aortic diseases. His research interests cover the field of hemodynamics and large artery mechanics with a strong focus on the physical processes involved

Presentations Articles

Multi-modal diagnostic agreement and accuracy of bicuspid aortic valve classification

Event: ESC Congress 2025

Topic: Diagnostic Methods

Session: Adult congenital heart disease (2)

Access

Deep learning for segmentation and endoleak detection in contrast-enhanced computed tomography in endovascular aortic repair patients

Event: ESC Congress 2025

Topic: Aortic Aneurysm, Abdominal

Session: Open and endovascular aortic surgery

Access

Automatic three-dimensional aortic strain mapping from four-dimensional computed tomography angiography

Event: ESC Congress 2025

Topic: Imaging

Session: Aortic disease

Access

Aortic valve tissue characteristics and aortic stenosis in patients with bicuspid aortic valve

Event: ESC Congress 2025

Topic: Aortic Valve Stenosis

Session: Aortic stenosis: current epidemiology and progression

Access

Mapping of thoracic aorta growth rate on serial self-navigated 3D whole-heart magnetic resonance angiographies by image registration

Event: ESC Congress 2022

Topic: Morphology, Dimensions, Volumes and Mass

Session: Additional value of CMR in valvular and vascular heart disease

Access

Circumferential wall shear stress predicts co-localized progressive dilation in bicuspid aortic valve patients

Event: ESC Congress 2021 - The Digital Experience

Topic: Pathophysiology and Mechanisms

Session: Diseases of the Aorta ePosters

Access

Machine learning to automatically detect anatomical landmarks on phase-contrast enhanced magnetic resonance angiography

Event: EuroCMR 2021

Topic: Diagnostic Methods

Session: CMR guiding valvular, CHD and vascular assessment

Access

Automatic segmentation of the aorta on multi-center and multi-vendor phase-contrast enhanced magnetic resonance angiographies and the advantages of transfer learning

Event: EuroCMR 2021

Topic: Diagnostic Methods

Session: CMR guiding valvular, CHD and vascular assessment

Access

Bicuspid aortic valve fusion length correlates with maximum aortic diameter and heamodynamic abnormalities: a 4D flow CMR study

Event: EuroCMR 2021

Topic: Diagnostic Methods

Session: ePoster session

Access

Aortic root longitudinal strain by speckle-tracking echocardiography predicts progressive aortic root dilation in Marfan syndrome patients

Event: EACVI - Best of Imaging 2020

Topic: Tissue Doppler, Speckle Tracking and Strain Imaging

Session: Live Abstract Presentations - Valvular Heart Diseases

Access

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources

Explore sponsored resources

Doctor Andrea Guala

Biography

Contributor content

Multi-modal diagnostic agreement and accuracy of bicuspid aortic valve classification

Deep learning for segmentation and endoleak detection in contrast-enhanced computed tomography in endovascular aortic repair patients

Automatic three-dimensional aortic strain mapping from four-dimensional computed tomography angiography

Aortic valve tissue characteristics and aortic stenosis in patients with bicuspid aortic valve

Mapping of thoracic aorta growth rate on serial self-navigated 3D whole-heart magnetic resonance angiographies by image registration

Circumferential wall shear stress predicts co-localized progressive dilation in bicuspid aortic valve patients

Machine learning to automatically detect anatomical landmarks on phase-contrast enhanced magnetic resonance angiography

Automatic segmentation of the aorta on multi-center and multi-vendor phase-contrast enhanced magnetic resonance angiographies and the advantages of transfer learning

Bicuspid aortic valve fusion length correlates with maximum aortic diameter and heamodynamic abnormalities: a 4D flow CMR study

Aortic root longitudinal strain by speckle-tracking echocardiography predicts progressive aortic root dilation in Marfan syndrome patients

ESC 365 is supported by

Doctor Andrea Guala Follow

Biography

Contributor content

Multi-modal diagnostic agreement and accuracy of bicuspid aortic valve classification

Deep learning for segmentation and endoleak detection in contrast-enhanced computed tomography in endovascular aortic repair patients

Automatic three-dimensional aortic strain mapping from four-dimensional computed tomography angiography

Aortic valve tissue characteristics and aortic stenosis in patients with bicuspid aortic valve

Mapping of thoracic aorta growth rate on serial self-navigated 3D whole-heart magnetic resonance angiographies by image registration

Circumferential wall shear stress predicts co-localized progressive dilation in bicuspid aortic valve patients

Machine learning to automatically detect anatomical landmarks on phase-contrast enhanced magnetic resonance angiography

Automatic segmentation of the aorta on multi-center and multi-vendor phase-contrast enhanced magnetic resonance angiographies and the advantages of transfer learning

Bicuspid aortic valve fusion length correlates with maximum aortic diameter and heamodynamic abnormalities: a 4D flow CMR study

Aortic root longitudinal strain by speckle-tracking echocardiography predicts progressive aortic root dilation in Marfan syndrome patients

ESC 365 is supported by

Doctor Andrea Guala