eLearning

SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists. **Unfortunately these do not currently work in browsers**


Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

People

Your search for Keyword: 'Deep Learning' returned 12 Result(s)

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Mr Thomas Biggans


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Miss Subarnarekha Chatterji


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Dr Amir Dehsarvi

Classification, Cartesian Genetic Programming, Evolutionary Algorithms, Machine Learning, MRI/fMRI data analysis, Mediation Analysis, and Neurodegenerative Diseases Diagnosis (Biomarkers) and Monitoring.

 

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Dr Mohamed Elsayed Elawady


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Dr Blair Johnston

Research for patient benefit: MRI physics, MRI safety, image analysis and clinical application of AI

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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. 

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Dr Esma Mansouri-Benssassi


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Dr Gabriel Reines March


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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.

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Mr Adam Tattersall


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