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

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Your search for Keyword: 'Artificial Intelligence' returned 13 Result(s)

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Professor Lesley Anderson

Professor Lesley Anderson is Academic Lead for the Industrial Centre for Artificial Intelligence in Digital Diagnostics (iCAIRD) for Grampian. She is leading artificial intelligence evaluations at the University of Aberdeen. 

 

Prof Anderson joined the Aberdeen Centre for Health Data Science at the University of Aberdeen in March 2020. She trained at Queen's University Belfast (QUB) graduating with a PhD in cancer epidemiology in 2004 and an undergraduate degree (first class Honours) in Biomedical Science in 2001. She has a Masters in Population Health-based Evidence obtained by distance learning from the University of Manchester (distinction level) in 2006. Professor Anderson joined QUB as an academic in 2010 after completing two highly respected fellowships: an Academic Fellowship (funded by the UK Medical Research Council) and a Cancer Prevention Fellowship at the National Cancer Institute, National Institute of Health, Maryland, United States of America. Professor Anderson then joined the Northern Ireland Cancer Registry (NICR) in 2017 as Deputy Director overseeing the production of Official Statistics for Northern Ireland and developing the NICR Research Advisory Group.

 

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Mr Thomas Biggans


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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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Ms Serena Dimitri

I started my journey with a BSc in Psychology at the University of Pavia where I learned to appreciate individual differences. Following, I undertook a joint Master degree course at the University of Pavia and University School of Advanced Studies where I specialized In Neuroscience with the growing will of understanding more about the brain. During my BSc and MSc, I took part in exchange programs at the University Complutense of Madrid, Trinity College of Dublin and the University of Plymouth where I dealt with different ways of doing research. I worked as a researcher on a 3-years-project, which culminated in my Master dissertation: “Neuroscience, Psychology and Computer Science: An Innovative Software on Aggressive Behaviour”. My research interests follow my academic path and my personality, I am mainly captivated by the exploration of how the brain and the individuals work in reaction to technology and how to shape technology to interact effectively with individuals. I am now a PhD student at the University of Glasgow, where I found the perfect harmony between my psychology background, my neuroscience studies and the world of AI and computer science. These three are for me: my knowledge, my specialization and my greatest interest.

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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 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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Dr Clarisse de Vries

I am an Imaging Research Fellow at the University of Aberdeen for the iCAIRD programme. iCAIRD (Industrial Centre for Artificial Intelligence Research in Digital Diagnostics) is a Scotland-wide project which aims to lower entry barriers for small and medium enterprises to evaluate and develop artificial intelligence tools for healthcare using NHS data. My role involves supporting the iCAIRD breast screening project and applying statistical methods to evaluate AI tools using NHS data. I previously obtained a PhD in Medical Imaging and an MSc in Medical Physics at the University of Aberdeen Biomedical Imaging Centre.

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