4th International Conference on Medical Imaging with Deep Learning Jul 07, 2021 - Jul 09, 2021 — Virtual Meeting (online)
Medical Image Understanding and Analysis Conference 2021 Jul 12, 2021 - Jul 14, 2021 — Virtual Meeting (online)
Medical Imaging Convention [rescheduled] Sep 15, 2021 - Sep 16, 2021 — National Exhibition Centre, Birmingham, England
2021 SINAPSE ASM Sep 16, 2021 - Sep 17, 2021 — Technology & Innovation Centre, University of Strathclyde, 99 George Street, Glasgow
Total Body PET 2021 conference [rescheduled] Sep 22, 2021 - Sep 24, 2021 — 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

Dr Makoto Uji

Home page: Go to homepage
Position: Research Fellow

Interests:

My research interest is to understand how human brain integrates perceptual, cognitive, and motor information to mediate our behaviour. I have applied non-invasive neuroimaging methods (i.e. EEG, fMRI, & simultaneous EEG-fMRI) to study human brain function. I have gained a huge amount of experiences from experts (Stephen Mayhew and Karen Mullinger at University of Birmingham) in EEG-fMRI and neurovascular coupling, and become deeply interested in using these neuroimaging techniques to better understand the spatiotemporal dynamics of neural network function.

Institute: University of St Andrews

Department: School of Psychology and Neuroscience


Key Publications

Uji, M., Wilson, R., Francis, S., Mullinger, K., & Mayhew, S. (2018). Exploring the advantages of multiband fMRI with simultaneous EEG to investigate coupling between gamma frequency neural activity and the BOLD response in humans. Human Brain Mapping, 39(4)1673-1687. DOI: 10.1002/hbm.23943