Workshop on Computational Methods for Neurovascular Imaging


November 24th, 9:00-13:30

Onsite: Auditoire Mathias Mayor (BH 08 4), Lausanne University Hospital (CHUV). 46 rue du Bugnon, Lausanne. Metro: CHUV. Please register below and indicate dietary preferences.

Online: Webex. Please register below to obtain the code.


Free, register here


CHUV: Jonas Richiardi, Jonathan Rafael-Patiño; Inselspital Bern: Roland Wiest, Richard McKinley; Siemens Healthcare: Tobias Kober, Bénédicte Maréchal

Context and motivation

Advanced imaging is playing an increasing role in diagnosis, prognosis, and treatment planning for most neurovascular diseases, including stroke, microbleeds, small vessel disease, aneurysms, and other vascular pathologies. Often, different image types including MR diffusion or susceptibility imaging, CT or MR perfusion imaging, and CT or MR angiography, need to be examined jointly to correctly identify and treat pathology. The richness and complexity of the data mean that computational approaches are essential to help both radiologists and clinicians interpret imaging and act upon it. The advent of increased dataset sizes, computational power, and very fast-paced advances in methods such as deep learning means that successful translation now occurs more frequently and rapidly than in the previous decade.

This workshop will showcase recent work from Swiss and international experts, and offer a forum to connect engineering specialists and physicians around technical advances in the field of computational methods for neurovascular imaging.


All times are Swiss time (Central European Time).


Partly funded by Innosuisse grant 43087.1 IP-LS. In-kind caffeine support by EPFL LTS5.