Medical Image Understanding and Analysis Conference 2020 Jul 15, 2020 - Jul 17, 2020 — Virtual Meeting (online)
CAFACHEM 2020 Summer School on Organic & Halogen Radiochemistry Aug 26, 2020 - Aug 28, 2020 — Virtual Meeting (online)
Scottish Dementia Research Consortium Annual Conference 2020 [rescheduled] Sep 07, 2020 10:00 AM - 04:00 PM — Radisson Blu, 301 Argyle St, Glasgow
Society for Magnetic Resonance Angiography - SMRA2020 VIRTUAL Sep 11, 2020 - Sep 13, 2020 — Virtual Meeting (online)

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.


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: 'Database' returned 10 Result(s)

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ADHD Addictions Ageing Alzheimer's Anaesthesia Artificial Intelligence Attention Autism Bioorganic chemistry Bipolar disorder Brain temperature CT Cardiac imaging Cardiovascular Imaging Carotid Doppler ultrasound Cerebral atrophy Chemistry Cognitive Control DTI-tractography Data protection Database Deep Learning Dementia Depression Diffusion imaging Disorders of Consciousness Doppler ultrasound EEG ERP Episodic memory Evidence Based Radiology Executive Function Fetal and Child development Field-cycling Free radicals Functional Connectivity Functional MRI (fMRI) Image analysis Image processing Image segmentation Imaging biomarkers Imitation Impaired Consciousness Kinetic Modelling Lacunar stroke Language Large animal imaging Leukoaraiosis Lung Imaging MRA MRI hardware MRI pulse sequences MRS Machine Learning Magnetization transfer Medical visualization Memory Meta-analysis Microvascular MRI Molecular Imaging Multicentre studies Muscle Imaging and Measurement NMR relaxometry Neurodevelopment Neuroinformatics Neurology Neuroradiology Novel Radiotracers Novel imaging methods Nuclear Medicine Oncologic Imaging Oncology Optical imaging PET Parallel computing Perfusion imaging (CT and MR) Permeability imaging (MR) Physics Preclinical Imaging Predictive Classification Psychiatry Radiochemistry Radiology Radiomics Retinal imaging SPECT Schizophrenia Semantic Memory Simulation Small vessel disease Statistics Stroke Structural imaging TBI Texture analysis Thrombolysis Time series analyses Translational Imaging Ultrasound White matter disease

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Mr Jetsada Arnin

  • Brain-computer Interface
  • Neurorehabilitation
  • Signal Processing
  • Cloud Computing
  • Embedded system
  • Internet of Things

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A Brooks


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Dr David Alexander Dickie

Structural brain ageing

White matter disease

Cognitive ageing

Stroke

Image Analysis

Alzheimer's disease and other dementias

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Dr Dominic Job

I am interested in all forms of brain imaging, primarily structural MRI, and currently working on multicentre, normative brain imaging and stroke.

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Dr Grant Mair

My primary research interest is the imaging of ischaemic stroke.

Since 2012, I have been working on subgroup analyses of imaging from the Third International Stroke Trial (IST-3), a large randomised-controlled trial of intravenous alteplase versus control.

In particular, I am investigating whether imaging evidence of arterial obstruction (e.g. hyperdense artery sign as a surrogate marker or flow deficits on CT/MR angiography) and the results from advanced CT/MR perfusion techniques should influence our decision to treat patients with intravenous thrombolytic drugs.  This is especially important in an era where ischaemic stroke treatment is changing with new evidence supporting the use of direct clot retrieval.

I am also developing interests in the use of computational systems for the automated analysis of CT imaging in stroke and natural language processing algorithms for identifying and classifying stroke patients from within very large radiology report datasets.

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Miss Zuzana Pinkosova

I have obtained BA (Hons) Psychology degree at the University of the West of Scotland in 2017 and MSc Brain Sciences degree at the University of Glasgow in 2018. Currently, I am a PhD student at Computer & Information Sciences Department of the University of Strathclyde, under the supervision of Dr Yashar Moshfeghi and Dr William McGeown. 

 

My main research interests at the moment include:

  • Brain imaging (EEG)
  • Information retrieval (Relevance)

In the past, my MSc Project focused on the visual cortex excitability during saccadic eye movements using TMS.

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Dr Sankaranarayanan Ramachandran


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Shaun R. Stone

Shaun Stone is a final year Ph.D. ERC studying Medical Imaging at the University of Aberdeen under the supervision of Professor Alison Murray. He is the deputy student lead of the Image Analysis group of the Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE), a consortium of seven Scottish universities. His research is titled “Cognitive Reserve Estimation Models from Brain MRI in Healthy Ageing: A Machine Learning Approach”, under the supervision of Professor Alison D. Murray (University of Aberdeen), Dr Roger Staff (NHS), Professor Joanna Wardlaw, Professor Craig Ritchie (University of Edinburgh) and Dr Robin Wolz (IXICO). Cosupervisors to this project at Dr Gordon Waiter and Dr Anca Sandu-Giuraniuc. His project is funded by SINAPSE and industry partners IXICO.

His project aims to identify the most important MR imaging biomarkers that influence differences in cognitive resilience. That is, given the life-course of an individual, what are the imaging characteristics that allow us to predict increased risk of cognitive impairment? Further, what factors provide resilience against age- and disease-related brain changes? He is passionate about computational neuroscience, artificial intelligence and computer-assisted diagnosis in medical imaging. Shaun completed his undergraduate (BSc) degree in Psychology with Neuroscience, and postgraduate (MSc) degree in Neuroimaging at Bangor University, North Wales - where he gained experience using a range of neuroimaging techniques. Shaun continues to learn, using his neuro-background to transfer into computational medicine and diagnostic imaging and is looking forward to his future career in research or industry, thanks to this opportunity.

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Mr Leandro Tramma


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Mr Steven Winata


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