Bio
Pere Canals Canals is a Postdoctoral Scholar in the Department of Radiology at Stanford University, where he focuses on advancing medical imaging technologies with applications on vascular neuroradiology, with an emphasis on Stroke, under the mentorship of Dr. Jeremy Heit. His research interests encompass medical image analysis, computer vision, deep learning, and 3D printing.
Dr. Canals earned his Ph.D. in Medicine at the Stroke Research group from the Vall d'Hebron Research Institute (VHIR) in Barcelona, Spain, under the leadership of Dr. Marc Ribó and co-supervised by Dr. Simone Balocco and Dr. Oliver Díaz, both researchers from the University of Barcelona (UB). Dr. Canals completed his doctoral studies between 2021 and 2024. His dissertation, titled "Arterial: an AI framework for the characterization of vascular tortuosity," received the highest distinction of Cum Laude. For his Ph.D., he was awarded the PERIS PIF-Salut doctoral grant by the Catalan Health Department. Moreover, he led funding acquisition and development of the "Arterial" project, securing €107,690 in funding from the Spanish Health Institute to support his research.
Prior to his doctoral studies, Dr. Canals completed a Bachelor of Science in Engineering Physics at the Universitat Politècnica de Catalunya (UPC) in Barcelona. He conducted his bachelor's thesis at the Technion - Israel Institute of Technology in Haifa, focusing on astrophysics and stellar population simulations. He then pursued a Master of Science in Biomedical Engineering at the University of Barcelona (UB), during which he participated in an exchange program at TU Delft in the Netherlands, where he was introduced to the field of deep learning. Notably, Dr. Canals achieved top 1% rankings in the Catalonia and Spain university entrance exams, earning him a prize from the Fundació Catalunya-La Pedrera.
