[Neuroinfo] Seminar on Radiomics and Deep Learning this THURSDAY at 11:00am in Mary Kinross Room QMRI

[VALDES HERNANDEZ Maria]

Apologies for multiple posting

Dear All,

It is my pleasure to announce the talk *"**Radiomics and deep learning 
techniques for quantitative disease assessment on ultrasound and MRI**"*

to be given by: *Dr. Qi Zhang, Associate Professor from the School of 
Communication and Information Engineering in Shanghai University, 
Shanghai, China*.
*This Thursday 2nd of November 2017**at 11:00am in Mary Kinross Room, QMRI*.

Dr. Qi Zhang received his B.S. degree in Electronic Engineering in 2005 
and Ph.D. degree in Biomedical Engineering in 2010, both from Fudan 
University, Shanghai, China. From 2008 to 2009, he was a visiting Ph.D. 
student at the Department of Biomedical Engineering, Duke University, 
USA for one year. In 2010, he joined the Institute of Biomedical 
Engineering, Shanghai University, China as an assistant professor. From 
2013, he is an associate professor. He has published 60 peer-reviewed 
articles and been awarded the Chenguang Plan in Shanghai. His research 
interests include biomedical imaging and image processing, and 
translational medicine.

Talk Summary:

Radiomics and other artificial intelligence techniques such as deep 
learning enable identification of quantitative imaging biomarkers to aid 
in diagnosis, treatment response evaluation, prognosis, and 
individualised medicine. In this talk, Dr. Zhang will focus on radiomics 
and deep learning techniques in ultrasound and magnetic resonance 
imaging for soft tissues including tumors, atherosclerosis, and 
musculoskeletal soft tissues. Dr. Zhang will present the methods of 
radiomics, deep point-wise gated Boltzmann machines and deep polynomial 
networks, as well as their clinical applications.

Hope to see you at the seminar!

Kind Regards,
Maria


-- 

Dr. Maria del C. Valdés Hernández, BEng, MSc, PhD, FHEA
Row Fogo Lecturer in Image Analysis and Chair MIUA 2017
Centre for Clinical Brain Sciences (CCBS)
Neuroimaging Sciences
The University of Edinburgh
Chancellor’s Building
49 Little France Crescent
Edinburgh EH16 4SB, UK

Tel: 0131 465 9527 (CCBS)
Email: M.Valdes-Hernan at ed.ac.uk

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