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Your search for Keyword: 'Deep Learning' returned 12 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 Mohamed Elsayed Elawady
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
Dr Alessandro Perelli
My main research interests are primarily related to computational imaging, and machine learning, in particular for low-dose poly-energetic 3D/4D and spectral X-ray Computed Tomography (CT) reconstruction.
My particular specialism and passionate interests span to randomized linear algebra, stochastic iterative algorithms and variational inference models.
I am dealing with all aspects of the image reconstruction, from the theoretical mathematical modelling, through the algorithm development, to the handling and processing of experimental CT data together with physical modeling such as scattering.
