PET is Wonderful Annual Meeting 2021 Oct 26, 2021 12:00 AM — Virtual Meeting (online)
NRS Mental Health Network Annual Scientific Meeting 2021 Nov 02, 2021 09:00 AM - 05:00 PM — Royal College of Physicians, Edinburgh (and online)


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 Shufan Yang

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Position: Associate Professor


Dr Shufan Yang is the Associate Professor in Computational Intelligence, at the software engineering technology (SET) subject group, School of Computing, Edinburgh Napier University. Her current research interests include cognitively inspired AI, reinforcement learning, deep learning, computer vision and AI+healthcare, especially ambient intelligent systems for healthcare delivery. Her research has been supported by SYNAPSES, Innovative UK, EU Horizon, British Council, EPSRC in the past couple of years. She is a Charted Engineer (CEng), Fellow of BCS, Senior member of IEEE.

Institute: Edinburgh Napier University

Department: School of Computing

Research Themes

Ultrasound signal processing, real-time computing, cognitive control, photoacustic tomography, optical coherence tomography

Key Publications

1.A Learning-Based Microultrasound System for the Detection of Inflammation of the Gastrointestinal Tract, Transaction on Medical Images (2020)

2.A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection, 18thUKCI, Nottingham, 2018

3. A Highly Integrated Hardware–Software Co-Design and

Co-Verification Platform, IEEE Design &Test, 2018


Nvidia InC.,   Xilinx InC. ARM InC., The first hospital of Anhui Province China.

Software Expertise

C/C++, Python, Matlab, X86 Assembly, Verilog, VHDL