BMUS Ultrasound 2019 Dec 10, 2019 - Dec 12, 2019 — Harrogate, England
Scottish Ophthalmic Imaging Society meeting Feb 14, 2020 09:30 AM - 05:00 PM — Royal Society of Edinburgh, 22-26 George Street, Edinburgh
8th Annual Scottish Radiotherapy Research Forum Mar 12, 2020 10:00 AM - 04:30 PM — Stirling Court Hotel, University of Stirling
Medical Imaging Convention 2020 Mar 17, 2020 10:00 PM - 04:00 PM — National Exhibition Centre, Birmingham, England
9th SINAPSE Neuro-oncology Imaging Meeting Mar 19, 2020 12:00 AM — West Park Conferencing & Events, 319 Perth Road, Dundee DD2 1NN

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: 'MRS' returned 7 Result(s)



Sean Denham


Full profile…


Dr John Foster


Full profile…


Dr Magdalena Ietswaart

Magdalena is a neuropsychologist and cognitive neuroscientist in Psychology at the University of Stirling. Beside Magnetic Resonance, research questions in her lab are answered using brain stimulation (TMS and tDCS) and (mobile) EEG as well as behavioural techniques such as eye-movements and movement kinematics and behavioural lesion studies in neurological patients. Basic science in her lab centres primarily around perception and action ranging from visuomotor function to social neuroscience. Her applied work is on motor rehabilitation and more recently on brain injury diagnostics too. She works collaboratively towards mobile neuroimaging solutions to investigate more real-world cognition. Magdalena is interested in brain plasticity both with regards to cognitive architecture and changes of function in stroke, traumatic brain injury, and abnormal development such as autism. Due to the increasing societal challenge of dementia she wants to contribute to mobilising the neuroscience community to answer perhaps by clarifying the role of plasticity in delaying dementia onset. Magdalena is very interested in collaborating in particular on understanding the normal brain through the study of people with brain damage and work towards evidence-based changes in practice. For details on research activity see www.StirlingBrains.org ; www.MobileCognition.org ; https://sites.google.com/site/magdalenaietswaart/home

Full profile…


Dr Maurits Jansen


Full profile…


Professor Ian Marshall

All aspects of Magnetic Resonance, with particular emphasis on the development, application and evaluation of techniques for clinical and biomedical use. Specific interests are (i) quantitative blood flow and cardiac studies; (ii) Magnetic Resonance Spectroscopy for the non-invasive investigation of metabolism and hypothermia therapy; (iii) undersampling techniques for rapid imaging; (iv) large-scale numerical simulations of MRI.

Full profile…


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.

Full profile…


Mr Steven Winata


Full profile…