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 Shufan Yang

Home page: Go to homepage
Position: Associate Professor

Interests:

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


Collaborators

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

Software Expertise

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