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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: 'Image processing' returned 60 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 Image-guided intervention 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

Dr Ankush Aggarwal

Computational cardiovascular mechanics

 

The aim of my research is to generate new scientific knowledge and methods using innovative ideas in numerical methods and biomechanics that contribute towards improved cardiovascular healthcare.

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Dr Nicolas Aristokleous

My academic and research interests lie on biomedical and biomechanical studies and applications. More specifically, I am working in Image-Based Modelling and in Haemodynamics area with the use of computational fluid dynamics (CFD).

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Mr Jetsada Arnin

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

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Dr Lucia Ballerini

I am a researcher in image analysis. I developed theoretical and application oriented methods. I have been working with different kind of images: medical, food, radar, robotic and forensic images. Recently I worked with skin lesion images and retinal images. See my 100+ publications (google scholar or researchgate) for more details

I am presently working MR brain images.

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Dr Daniela Balslev


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Mr Thomas Biggans


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Ms Ines Boehm


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Mr Dennis Bontempi


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Dr Michael Bradnam

Oncology imaging, including imaging of paediatric neuroendocrine tumours

Radiotherapy using unsealed sources of radiation

SPECT technology and image reconstruction

MR technology

Electrophysiology equipment

Visual development in preterm, newborn and infants

Objective assessment of visual acuity

Signal detection

Modelling visual impairment

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A Brooks


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