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: 'Leukoaraiosis' returned 6 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

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 Arnab Rana

  • Hippocampal atrophy
  • Cognitive ageing
  • Stroke
  • Brain tumours

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Emilie Sleight


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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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Professor Joanna Wardlaw

I am a senior academic neuroradiologist with a major interest in stroke, ageing and the effects of vascular disease on the brain as determined using imaging. I established the University of Edinburgh’s Brain Imaging Research Centre in 1998 and have maintained it as a major research resource since then. I am interested in research methodologies such as systematic reviews of diagnostic tests, analysis of imaging data, improving methods to extract pathophysiological information from imaging of the brain. My major interests are determining the pathophysiological mechanisms of cerebral small vessel disease in particular the role of the blood brain barrier versus ischaemia, and of large artery stroke, in particular determining the duration of salvageable tissue and modifiable secondary pathophysiological events at which new treatments could be targeted. I have been interested in thrombolysis for acute ischemic stroke since initiating a small RCT of intra-arterial thrombolysis (1990), and have maintained the Cochrane Database of Systematic Reviews review of Thrombolysis in Acute Ischaemic Stroke since then. I provided expert input to three multicentre thrombolysis in stroke trials (MAST-I, ECASS3 and IST-3). I have co-authored two highly regarded textbooks, numerous stroke guidelines and health economic assessments and provide teaching in neuroimaging for research through on-line MSc and CPD modules.

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Miss Jennifer Waymont

Jenny Waymont is a PhD candidate in Medical Imaging at the University of Aberdeen. Her PhD thesis is on the automated detection and analysis of white matter hyperintensities in healthy ageing and in neurodegenerative disorders. Jenny’s background is in psychology, having gained a BSc (hons) in Psychology with Clinical and Health Psychology, an MSc in Psychological Research, and an MSc in Neuroimaging, all within the School of Psychology at Bangor University in North Wales. During this time, she developed research experience across a range of topics, including personality and substance misuse, evidence-based medicine and clinicians’ prescribing behaviours, language acquisition and bilingual aphasia, and social perception.

Jenny’s research interests lie within the intersection of the brain and the mind, with a particular interest in psychosocial influences on brain ageing processes. Currently, Jenny is analysing brain MRI data from large healthy ageing cohort studies (the ‘Aberdeen Children of the 1950s’ and the ‘Stratifying Resilience Against Depression Longitudinally’ studies), and from a Phase III clinical trial for Alzheimer’s disease, to determine the risk factors and outcomes of increased white matter hyperintensity burden in older adults.

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