Ruisheng Su

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Ruisheng is an Assistant Professor in the Medical Image Analysis group (IMAG/e) at TU Eindhoven and Research Scientist at Erasmus MC, The Netherlands. He obtained his PhD degree (cum laude) at the Biomedical Imaging Group Rotterdam (BIGR) at Erasmus MC, where his research centered on innovative AI-based medical image/video analysis techniques and clinical applications in minimally invasive endovascular interventions for acute ischemic stroke. Prior to this, he completed his Master’s degree from TU Munich, and accrued five years of industrial experience as a software engineer at ASML, and a research scientist at Philips Research. He is the organizing chair of the SWITCH stroke workshop at MICCAI 2023 and 2024.

His current research focuses on trustworthy AI-based image analysis methods and applications in the field of neurovascular diseases (e.g., stroke, aneurysms) and image-guided interventions. If you are interested in Ruisheng’s research or have collaboration ideas, feel free to reach out!

news

Jan, 2025 I am serving as an area chair at MICCAI 2025.
Oct, 2024 Honored to have received the IEEE TMI Distinguished Reviewer Award for 2023-2024.
Oct, 2024 The 4th edition of our Stroke Workshop on Imaging and Treatment CHallenges (SWITCH2024) was successfully held at MICCAI 2024 in Marrakesh, Morocco! We look forward to seeing you again next year in Daejeon, South Korea!
Sep, 2024 [New vacancy] We are looking for a 1-year junior researcher to join us a.s.a.p on AI-based stroke mimic identification using MRI images.
Aug, 2024 New paper accepted at Med, “Large-scale pretrained frame generative model enables real-time low-dose DSA imaging: An AI system development and multi-center validation study”
Jul, 2024 New paper accepted at Journal of NeuroInterventional Surgery (JNIS), “Assessment of automated TICI scoring during endovascular treatment in patients with an ischemic stroke”
Jul, 2024 New paper accepted at Computerized Medical Imaging and Graphics (CMIG), “CAVE: Cerebral artery–vein segmentation in digital subtraction angiography”
Jun, 2024 [New Grant] Our stroke MIMIC project has just awarded funding from the National Growth Fund (NGF) AiNed XS Europe programme.
Oct, 2023 The 3rd edition of our Stroke Workshop on Imaging and Treatment CHallenges (SWITCH2023) was successfully held at MICCAI 2023 in Vancouver! We look forward to seeing you again next year in Marrakesh!
Oct, 2023 One paper got accepted at MICCAI, “AngioMoCo: Learning-Based Motion Correction in Cerebral Digital Subtraction Angiography”
Jul, 2023 Our work got accepted at Medical Physics, “Towards quantitative digital subtraction perfusion angiography: An animal study”