Fotografi av Federica Viola

Federica Viola

Forskningsingenjör

Jag jobbar som forskningsingenjör i kardiovaskulär magnetresonansgruppen (CMR). Mina doktorandstudier fokuserar på att förbättra datakvalitet och hantering av kardiovaskulär 4D flödes-MRI data.

Presentation

Publikationer

2023

Alessandra Riva, Jonatan Eriksson, Federica Viola, Francesco Sturla, Emiliano Votta, Tino Ebbers, Carljohan Carlhäll, Petter Dyverfeldt (2023) Impact of dobutamine stress on diastolic energetic efficiency of healthy left ventricle: an in vivo kinetic energy analysis Frontiers in Cardiovascular Medicine, Vol. 10, Artikel 1103751 Vidare till DOI
Kajsa Tunedal, Federica Viola, Belén Casas Garcia, Ann Bolger, Fredrik H Nyström, Carl Johan Östgren, Jan Engvall, Peter Lundberg, Petter Dyverfeldt, Carljohan Carlhäll, Gunnar Cedersund, Tino Ebbers (2023) Haemodynamic effects of hypertension and type 2 diabetes: Insights from a 4D flow MRI-based personalized cardiovascular mathematical model Journal of Physiology, Vol. 601, s. 3765-3787 Vidare till DOI
Mariana Bustamante, Federica Viola, Jan Engvall, Carljohan Carlhäll, Tino Ebbers (2023) Automatic Time-Resolved Cardiovascular Segmentation of 4D Flow MRI Using Deep Learning Journal of Magnetic Resonance Imaging, Vol. 57, s. 191-203 Vidare till DOI

2022

Andrea Postigo, Federica Viola, Christian Chazo, Pablo Martinez-legazpi, Ana Gonzalez-mansilla, Elena Rodriguez-gonzalez, Francisco Fernandez-aviles, Juan c del Alamo, Tino Ebbers, Javier Bermejo (2022) Assessment Of Blood Flow Transport In The Left Ventricle Using Ultrasound. Validation Against 4-D Flow Cardiac Magnetic Resonance Ultrasound in Medicine and Biology, Vol. 48, s. 1822-1832 Vidare till DOI

2021

David Marlevi, Maximilian Balmus, Andreas Hessenthaler, Federica Viola, Daniel Fovargue, Adelaide de Vecchi, Pablo Lamata, Nicholas S Burris, Francis D. Pagani, Jan Engvall, Elazer R Edelman, Tino Ebbers, David A Nordsletten (2021) Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy Medical Image Analysis, Vol. 68, Artikel 101948 Vidare till DOI

Forskning

Kollegor

Organisation