معرفی
Cian Scannell is Assistant Professor in Biomedical Engineering at Eindhoven University of Technology, specializing in medical image analysis. His research develops AI tools for cardiac MRI analysis, focusing on robust deep learning methods for myocardial perfusion quantification, scar assessment, and image reconstruction. Goal is clinical translation through domain adaptation and quality assurance.
He earned his PhD from King's College London's Centre for Doctoral Training in Medical Imaging, collaborating with St Thomas' Hospital and Philips Healthcare. Current work addresses generalizable models for automated inversion time selection, stress perfusion analysis, and synthetic image generation. Research bridges computational innovation with clinical cardiology applications.
Publications demonstrate leadership in AI-enhanced cardiac imaging, including prognostic modeling from perfusion data and standardized quantification workflows. Future directions emphasize physics-informed networks and multi-center validation.
