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Machine Learning for Medics and Researchers Symposium
Thu 30 March 2017, 10:00 – 10:00 BST
If you are interested in machine learning then look no further, this is the right event for you! If you're interested in what machine learning is all about and how it could help your research then come to this event.
This is open to people who have zero expertise right up to those who have a keen interest in the field of machine learning. There will be introductory talks on machine learning approaches and practical applications. Reseachers and clinicians alike from Medicine, Physics, Computer Science, Biology and beyond are very welcome.
This is a free event with complimentary coffee and lunch.
The event is held at the University of St Andrews on 30th March 2017. Talks will be given by experts such as Prof Stephen McKenna, Prof Chris Williams and Dr David Harris-Birtill, and will be in the Medical School Seminar Room 2. Please register here for the event.
10:00 – 10:20
Dr. David Harris Birtill: Welcoming speech and introduction
School of Computer Science, University of St Andrews
10:20 - 11:00
Prof Stephen McKenna: Deep neural nets for classification and segmentation
School of Computing, University of Dundee
11:00 – 11:20 Tea Break
11:20 – 12:00
Dr Lei Fang: Discovery and recognition of new emerging patterns using a hierarchical von Mises-Fisher model School of Computer Science, University of St Andrews
12:00 - 1:30 Lunch break and networking
1:30 – 1:45
Dr. Alison O'Neil: Cross-modality anatomical landmark detection (Toshiba Medical)
1:45 – 2:00
Dr. Keith Goatman Why results often are too good to be true? (Toshiba Medical)
2:00 – 2:25
Dr. Alison/Dr. Keith: Traditional feature classification versus deep learning for lung tissue classification +Questions/Answers
2:25– 3:10 Dr. Islem Rekik: Using machine learning to solve medical problems
Computing, University of Dundee
3:10 – 3:30 Tea break
Prof Chris Williams: Input-Output Non-Linear Dynamical Systems applied to Physiological Condition Monitoring
School of Informatics, University of Edinburgh
4:15 – 4:30
Dr. David Harris Birtill: Final comments and Closing