Hector Dejea l Velardo
5232 Villigen PSI
Hector Dejea is a PhD student in the X-ray Tomography Group at Paul Scherrer Institut and ETH Zürich since 2017. Before that, he received his Degree in Biomedical Engineering from Universitat Pompeu Fabra (Barcelona) in 2015 and his MSc in Biomedical Engineering - Bioimaging from ETH Zürich in 2017. Currently, Hector’s research focuses on the application of synchrotron radiation imaging for the study of cardiovascular diseases, including the design of X-ray imaging setups and protocols as well as image processing tools for the quantification of cardiac micro-structural components. Hector's PhD is carried out in collaboration with the UniversitätSpital Zürich and the University Hospital Centre Zagreb, and he is also actively involved in several projects together with Universitat Pompeu Fabra, University College London, and the Computer Vision Lab in ETH Zürich.
Dejea H, Tanner C, Achanta R, Stampanoni M, Perez-Cruz F, Konukoglu E, et al.
Synchrotron X-ray phase contrast imaging and deep neural networks for cardiac collagen quantification in hypertensive rat model
In: Coudière Y, Ozenne V, Vigmond E, Zemzemi N, eds. Funtcional imgaing and modeling of the heart. 10th international conference, FIMH 2019, Bordeaux, France, June 6-8, 2019, Proceedings. Vol. 11504. Lecture notes in computer science. Cham: Springer; 2019. https://doi.org/10.1007/978-3-030-21949-9_21
Garcia-Canadilla P, Dejea H, Bonnin A, Balicevic V, Loncaric S, Zhang C, et al.
Complex congenital heart disease associated with disordered myocardial architecture in a midtrimester human fetus
Circulation: Cardiovascular Imaging. 2018; 11(10): e007753 (10 pp.). https://doi.org/10.1161/CIRCIMAGING.118.007753
Dejea H, Garcia-Canadilla P, Stampanoni M, Zamora M, Crispi F, Bijnens B, et al.
Microstructural analysis of cardiac endomyocardial biopsies with synchrotron radiation-based X-ray phase contrast imaging
In: Pop M, Wright GA, eds. Functional imaging and modelling of the heart. Vol. 10263. Lecture notes in computer science. Cham, Switzerland: Springer; 2017. https://doi.org/10.1007/978-3-319-59448-4_3