SICSA Medical Imaging and Sensing in Computing – Forthcoming events

The SICSA Medical Imaging and Sensing in Computing theme will launch next month, followed by a further event in March.  Please see below for full details.

SICSA Medical Imaging and Sensing in Computing Theme Launch Event
Date: 18th February 2015
Time: 9.30 -16.00. (Talks start at 10am, registration and coffee from 9.30am)
Venue: The Royal Society Of Edinburgh, 22-26 George Street, Edinburgh, EH2 2PQ

Register for free here:

This exciting, free event at the Royal Society of Edinburgh, hosted by Toshiba Medical, launches the SICSA Medical Imaging and Sensing in Computing Theme.
Talks begin at 10am and cover broad range of disciplines within this area from researchers across Scotland to enable connection and cross collaboration in this exciting field. The theme focuses on how computational techniques can provide solutions in medicine using imaging, sensors, data analysis, modelling, robotics and more, ultimately improving healthcare. This event is aimed at academics, at any level, who are already in this field or may be interested in the future, and interested clinicians and industry members in this area.
As part of the day, lunch and coffee will be provided.

Masterclass in Medical Imaging and Sensing in Computing
Date: 4th March 2015
Time: 10am -17.00.
Venue: Room 1.33a, School Of Computer Science, North Haugh, The University of St Andrews, Fife, KY16 9SX, Scotland

Register for free here:

This free masterclass, hosted by the University of St Andrews, provides an introduction to medical imaging and sensing within computing, with lectures and workshops by academics from across the UK. This event is aimed at Masters level, PhD and early career researchers in computer science from across Scotland to highlight the importance of the field and demonstrate how their skills can be utilised in the medical field.
Computing has impacted medical practice in a fundamental way, imaging enables clinicians to look inside the body without an incision and analysis of the images allows highlighting of key areas and even helps guide radiotherapy treatments. Moreover computational techniques are applied with a variety of sensors in medical practice (such as measure of heart rate and oxygenation level of the blood) to get crucial information about the patient. Essentially the day explores how computational skills can be used to help detect and treat cancer, understand the bodies vital signs and detect signs of a variety of medical conditions.
Lunch and coffee will be provided.

Further events will follow in the spring.  If you are interested in organising an event sponsored by this SICSA theme, please contact Dr David Harris-Birtill.

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