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Your search for Keyword: 'Deep Learning' returned 10 Result(s)
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Mr Thomas Biggans
Miss Subarnarekha Chatterji
Dr Amir Dehsarvi
Classification, Cartesian Genetic Programming, Evolutionary Algorithms, Machine Learning, MRI/fMRI data analysis, Mediation Analysis, and Neurodegenerative Diseases Diagnosis (Biomarkers) and Monitoring.
Dr Blair Johnston
Research for patient benefit: MRI physics, MRI safety, image analysis and clinical application of AI
Dr David Li
My research focuses on the developments and applications of time-resolved imaging and spectroscopy systems. We are establishing a STED SuPer-Resolution time-resolved ImagiNg and specTroscopy (SPRINT) system (PicoQuant MT200D) for rapid biomolecular analysis funded by BBSRC: https://gtr.ukri.org/projects?ref=BB%2FV019643%2F1. I am also working with industrial partners including Fraunhofer UK, Photon Force, and BP to use the latest CMOS single-photon sensors in hydrogen sensing and biomedical imaging.
Dr Esma Mansouri-Benssassi
Dr Gabriel Reines March
Mr Adam Tattersall
Dr Steven Williams
Dr Shufan Yang
Dr Shufan Yang is the Associate Professor in Computational Intelligence, at the software engineering technology (SET) subject group, School of Computing, Edinburgh Napier University. Her current research interests include cognitively inspired AI, reinforcement learning, deep learning, computer vision and AI+healthcare, especially ambient intelligent systems for healthcare delivery. Her research has been supported by SYNAPSES, Innovative UK, EU Horizon, British Council, EPSRC in the past couple of years. She is a Charted Engineer (CEng), Fellow of BCS, Senior member of IEEE.
