Ruisheng Su
Department / Institute
Group
RESEARCH PROFILE
Ruisheng Su is an assistant professor in the Department of Biomedical Engineering at Eindhoven University of Technology, where he is part of the Medical Image Analysis group (IMAG/e). He is the organizing chair of the SWITCH stroke workshop at MICCAI. He has active collaborations with both academic institutes, such as Erasmus MC and University of Bern (Switzerland), and industrial partners such as Philips. His research concerns deep learning for neurovascular image/video analysis, including image registration, segmentation, detection, and quantification, as well as their applications in neurovascular diseases (e.g., stroke, stroke mimics, aneurysms) and image-guided interventions. His research aims to advance AI as a reliable assistant to medical professionals. With this in mind, he focuses on developing and validating trustworthy, interpretable AI-based methodologies and practical applications in neurovascular image analysis and image-guided interventions.
ACADEMIC BACKGROUND
Ruisheng Su joined the IMAG/e group of the Eindhoven University of Technology (TU/e) as assistant professor in 2024. Before this, he was a (post-)doctoral researcher at the Biomedical Imaging Group Rotterdam (BIGR) at Erasmus MC, where his research focused on developing innovative AI-based techniques for medical image/video analysis, particularly in clinical applications of minimally invasive endovascular interventions for acute ischemic stroke. Before 2020, he accumulated five years of industrial experience as a software engineer at ASML, and a research scientist at Philips Research. He earned his master’s degree in electrical engineering from the Technical University of Munich (TUM, Germany) in 2014, specializing in signal and image processing. The research for his master’s thesis was carried out at Philips Research (The Netherlands) on video-based patient activity monitoring. In 2022, Ruisheng received a Van Leersum personal grant from the Royal Netherlands Academy of Arts and Sciences (KNAW) to spend 4 months as a visiting researcher at the Martinos Center for Biomedical Imaging at Harvard Medical School (Boston, USA). In 2023, he was awarded the German DAAD AiNet fellowship to visit and collaborate with several leading research groups in Berlin and Munich.
Key Publications
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Ezequiel de la Rosa,Ruisheng Su,Mauricio Reyes,Roland Wiest,Evamaria O. Riedel,Florian Kofler,Kaiyuan Yang,Hakim Baazaoui,David Robben,Susanne Wegener
Isles'24
(2024) -
P. Matthijs van der Sluijs,Ruisheng Su,Sandra Cornelissen,Adriaan C.G.M van Es,Geert J. Lycklama A Nijeholt,Pieter Jan van Doormaal,Wim H. van Zwam,Diederik W.J. Dippel,T. van Walsum,Aad van der Lugt
Assessment of automated TICI scoring during endovascular treatment in patients with an ischemic stroke
Journal of Neurointerventional Surgery (2024) -
Ruisheng Su,P Matthijs van der Sluijs,Yuan Chen,Sandra Cornelissen,Ruben van den Broek,Wim H van Zwam,Aad van der Lugt,Wiro J Niessen,Danny Ruijters,Theo van Walsum
Cave
Computerized Medical Imaging and Graphics (2024) -
Carole H Sudre,Kimberlin Van Wijnen,Florian Dubost,Hieab Adams,David Atkinson,Frederik Barkhof,Mahlet A Birhanu,Esther E Bron,Robin Camarasa,Nish Chaturvedi
Where is VALDO?
Medical Image Analysis (2024) -
Ruisheng Su,Sandra A.P. Cornelissen,Matthijs van der Sluijs,Adriaan C.G.M. van Es,Wim H. van Zwam,Diederik W.J. Dippel,Geert Lycklama,Pieter Jan van Doormaal,Wiro J. Niessen,Aad van der Lugt
autoTICI
IEEE Transactions on Medical Imaging (2021)
Ancillary Activities
No ancillary activities