Edinburgh Imaging

Edinburgh Imaging to host MIUA Conference - Summer 2016

Medical Image Understanding and Analysis (MIUA) is a UK-based meeting for the communication of research related to image analysis and its application to medical imaging and biomedicine.

Scotland’s capital city is uniquely inspirational. Not only for its fabled loveliness, but also for its associations – past and present – with innovation, creativity, discovery and progress.

Our chair, Dr Maria del C. Valdés Hernández and Co-Chair, Dr Víctor González-Castro along with the remaining members of our local organising committee, look forward to welcoming guests to Edinburgh for the Medical Image Understanding and Analysis (MIUA) conference.

Conference Proposed Dates

Tuesday 11 July 2017

9:00 – 17:30 Registration

9:30 – 10:30 Tutorial

10:30 – 11:00 Coffee/Tea

11:00 – 12:00 Tutorial

12:00 – 13:00 Industry-sponsored lunch symposium

13:00 – 15:00 Workshop (SINAPSE)

15:00 – 15:30 Coffee/Tea

15:30 – 17:30 Workshop (Edinburgh Imaging)

18:30 – 20:00 Reception (drinks and canapés)

20:00 – 22:00 Ceilidh*

Wednesday 12 July 2017

9:00 – 17:30 Registration

9:15 – 9:30 Official Welcome

9:30 – 10:30 Keynote lecture 1

10:30 – 11:00 Coffee/Tea

11:00 – 12:00 Lightning talks of clinical abstracts*

12:00 – 13:00 Lunch and posters

13:00 – 15:00 Oral Session 1

15:00 – 15:30 Coffee/Tea and posters

15:30 – 17:30 Oral Session 2

19:00 – 21:00 Conference dinner at Surgeon’s Hall

* New initiatives

Thursday 13 July 2017

9:00 – 17:30 Registration

9:00 – 10:00 Keynote lecture 2

10:00 – 10:30 Coffee/Tea and posters

10:30 – 11:00 Software talks*

11:00 – 12:00 Software demos*

12:00 – 13:00 Lunch and posters

13:00 – 15:00 Oral Session 3

15:00 – 15:30 Coffee/Tea and posters

15:30 – 17:00 Oral Session 4

17:00 – 17:30 Prizes and close

Friday 14 July 2017

One day trip to the Scottish Highlands arranged with

Convention Edinburgh (needs to be paid separately)*

 

Full details with a summary of accommodation options and costs will be announced shortly.