RiiSE21 Conference Apr 10, 2021 12:00 AM — Virtual Meeting (online)
Scottish Radiological Society Spring Meeting 2021 May 14, 2021 09:00 AM - 05:00 PM — Virtual Meeting (online)
2021 SINAPSE ASM Jun 17, 2021 - Jun 18, 2021 — Provisionally: Medical Sciences Building, University of St Andrews
Medical Imaging Convention [rescheduled] Sep 15, 2021 - Sep 16, 2021 — National Exhibition Centre, Birmingham, England
Total Body PET 2021 conference [rescheduled] Sep 25, 2021 - Sep 27, 2021 — McEwan Hall, University of Edinburgh

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: 'Imaging biomarkers' returned 8 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 Clinical decision support Cognitive Control Computer vision DTI-tractography Data protection Database Deep Learning Dementia Depression Diffusion imaging Disorders of Consciousness Doppler ultrasound EEG ERP Elastography Episodic memory Evidence Based Radiology Executive Function Fetal and Child development Field-cycling 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 Radiotherapy Retinal imaging SPECT Schizophrenia Semantic Memory Simulation Small vessel disease Statistics Stroke Structural imaging TBI Texture analysis Thrombolysis Time series analyses Translational Imaging Ultra-high field MRI Ultrasound White matter disease

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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Olivia Hamilton

I am interested in the vulnerability of the ageing brain, especially changes cognitive ability and behaviour that can occur as part of healthy ageing, or as a result of diseases such as stroke or dementia.

My PhD project focuses on changes in cognitive ability in cerebral small vessel disease and how this might relate to structural brain changes that occur throughout the disease course.

During my PhD I have conducted a systematic review on the associations between domain specific cognitive ability and structural brain changes (visible on MRI) in sporadic small vessel disease. I am also employing structural equation modelling techniques to investigate the relationship between visible MRI markers of sporadic small vessel disease and cognitive ability longitudinally in several large cohorts.

My research aims to better characterise the cognitive symptomatology of cerebral small vessel disease and its trajectory over the disease course; examine how this relates to underlying changes in brain structure; and to explore how we can use neuroimaging, psychological and epidemiological data to more accurately predict outcomes for people with cerebral small vessel disease.

Supervisors: Professor Joanna Wardlaw and Professor Ian Deary

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Mr Philipp Loske

Extraction of morphological networks based on structural MRI, analysing network measures that can help in providing neuroimaging makers for dementia.

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Miss Natasha Sangha


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Miss Holly Spence

Brain Iron Deposition and Age-Related Cognitive Decline.

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Mr Kristian Stefanov


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