Juan Garrido Oliver
Medical Imaging & AI PhD Candidate
Final-year PhD candidate at Vall d'Hebron Institut de Recerca and Universitat Autònoma de Barcelona, developing deep learning tools for cardiovascular imaging across 4D flow MRI, CT angiography and echocardiography. Experienced in Python, PyTorch and MATLAB, and passionate about turning AI research into tools that improve patient care.
About Me
Biography
I am a PhD candidate in cardiovascular imaging and artificial intelligence at Vall d'Hebron Institut de Recerca (VHIR) and Universitat Autònoma de Barcelona, funded by a Joan Oró FI predoctoral grant from AGAUR. My research focuses on developing deep learning tools that turn medical images into quantitative, clinically useful information for patients with cardiovascular disease.
I have built AI pipelines across several imaging modalities. These include machine learning for the automatic assessment of aortic rotational flow and wall shear stress from 4D flow cardiac MRI, and deep learning for the automatic analysis of pre- and post-operative CT angiography in patients undergoing endovascular aortic aneurysm repair, covering segmentation, anatomical landmark detection and endoleak detection. I also contribute to projects applying AI to echocardiography.
I am first or co-first author of three articles in Q1 journals (European Radiology, European Journal of Vascular and Endovascular Surgery and International Journal of Cardiology), and I have co-authored ten more in medical imaging, cardiology and vascular surgery journals. I have taken part in national and international research projects funded by the Spanish Ministry of Science and Innovation, Instituto de Salud Carlos III, the Spanish Society of Cardiology and the European Commission.
I work mainly in Python and PyTorch, and also use MATLAB. I hold a BSc in Biomedical Engineering from Universitat de Barcelona and an MSc in Computational Biomedical Engineering from Universitat Pompeu Fabra.
Professional Career
PhD Researcher
VHIR
2021 - Present
Barcelona
Developing AI tools for cardiovascular image analysis, focusing on abdominal aortic aneurysms and endovascular surgery.
Laboratory Technician
IDIBAPS-Hospital Clínic
2020
Barcelona
Automatizing a setup for mice experiments on neurobiology.
Academic Career
Started Bachelor's in Biomedical Engineering
Moved to Barcelona to begin Bachelor's studies in Biomedical Engineering at Universitat de Barcelona.
Semester Abroad at Chalmers University of Technology
I completed a semester abroad at Chalmers University of Technology in Sweden, expanding my knowledge in biomedical engineering.
Finished my Bachelor's in Biomedical Engineering
Completed Bachelor's studies in Biomedical Engineering at Universitat de Barcelona with a thesis on automatization of neurobiology experiments on mice.
MSc in Computational Biomedical Engineering
I completed a Master's degree in Computational Biomedical Engineering at the Universitat Pompeu Fabra, focusing on advanced imaging techniques and data analysis.
Start PhD in cardiovascular imaging
Started PhD studies in cardiovascular imaging at Vall d'Hebron Institut de Recerca and Universitat Autònoma de Barcelona, focusing on advanced imaging techniques and data analysis.
FI AGAUR Researcher
Awarded Joan Oró FI AGAUR grant and continued research at Vall d'Hebron Institut de Recerca.
Currently...
In the final year of my PhD at Vall d'Hebron Institut de Recerca, with 13 peer-reviewed articles (3 as first or co-first author) and ongoing work on AI for cardiovascular imaging.
, Xavier Faner Capó, Pere Lopez-Gutierrez, Hug Cuellar-Calabria, Frederico Bastos Gonçalves, Sergi Bellmunt-Montoya**, Andrea Guala**, on behalf of the collaborative study group