Office: Na 26-24
Ruisheng Su joined the BIGR group as a PhD student in February 2020. He has been involved in the Q-Maestro project, where he mainly focuses on developing intelligent image analysis algorithms for patients with acute ischemic stroke. His current research interests include stroke imaging, computer vision and deep learning.
Ruisheng obtained his Bachelor degree in Information Technology from Shandong University, China in 2012. After that, he moved to Germany for his master study at TU Munich, where he received his MSc degree in Electrical Engineering in 2014. His master thesis was conducted in Philips Research in Eindhoven on video-based patient activity recoginition. Prior to joining BIGR, Ruisheng had five years of industrial experience as a research scientist at Philips and ASML.
- Su, R., Cornelissen, S. A. P., Van der Sluijs, M., Van Es, A. C. G. M., Van Zwam, W. H., Dippel, D. W. J., … others. (2021). autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients. IEEE Transactions on Medical Imaging.