⚫ CODE from here and PDF here
⚫ CODE from here
SIAM Journal on Image Sciences by Ke Chen and Huan Han (2024)
⚫ CODE from here
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Professor Chen is an applied and computational mathematician. His interests are in developing and analysing new and novel algorithms for a range of scientific and engineering applications. He has collaborated with many UK industries on mathematical modelling problems. More than 10 of his previous 30 PhD students worked directly with industrial funding.
His current research centers on multimodal data integration and the development of advanced imaging analysis techniques for high-resolution image processing, with a primary focus on inverse problems. His distinctive expertise lies at the intersection of advanced mathematics, variational models, and deep learning, where he designs novel AI algorithms tailored to limited-data training scenarios -- a domain fraught with significant computational and practical challenges. To address these challenges, he employs a diverse array of mathematical tools, including variational frameworks, partial differential equations (PDEs), nonlinear optimization, iterative optimization solvers, and data-driven deep learning architectures.
A core pillar of his work is its application to medical imaging, particularly in tackling complex tasks such as segmentation of low-quality, low-contrast images and diffeomorphic co-registration, which leverages reversible mapping techniques to align multimodal medical data.
His research is deeply collaborative, involving active partnerships with clinicians, medical professionals, and industrialists to ensure practical relevance and translational impact.
Currently he holds an honorary position at Clatterbridge Cancer Centre (NHS) as a clinical consultant.
He is keen to promote and welcome collaborations with his group and his Department where applied maths and stats are very strong.
Prior to joining Strathclyde, he was the director of two multidisciplinary research centres (CMIT and LCMH) in the University of Liverpool. Some of his publications can be found from Google scholar,
where one sees that papers published in Nature Scientific Report (2022), CVPR (2023) and SIAM IMS (2024) are from his current collaborations on Maths and AI.
Current research focuses on three major challeges: i segmentation and ii registration of low quality and texture images, and iii AI algorithms for few shots or self-learning segmentation.
Publications may be found on UoL page and also
software
Numerical Algorithms:
NuMA
International Journal of Computer Mathematics:
IJCM
Journal of Mathematical Research with Applications:
JMRA
Journal of Imaging:
JoI
Computational Mathematics and Computer Modeling
CMCMA
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