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Agenda

Medical Imaging Workshop 2013
November 17–19, 2013 | Cambridge, United Kingdom

 

 

Sunday, November 17

Time

Event/Topic

 Location

18:30–21:00

Dinner reception

Jesus College, Cambridge
 

Monday, November 18

Time

Event/Topic

Location 

9:15–9:30

Welcome and logistics

Microsoft Research Cambridge 

9:30–10:15

Keynote: The Science and Technology Facilities Council and medical imaging

Dr Barbara Camanzi (STFC Futures Health and Cancer Care Theme Leader - Futures Programme)

 

10:15–11:00

Keynote: Dragging Computational Imaging into Clinical Practice - A Problem of Magnitude and Direction

Rajesh Jena (Cambridge University Hospitals NHS Foundation Trust)

 

11:00–11:15

Break

 

11:15–12:15

Panel session 1: Funding the future of imaging research.

How do we as an imaging community respond to the challenges faced by the funding bodies?

Chair: Barbara Camanzi, Science & Technology Facilities Council (UK)

 

12:15–13:15

Lunch

 

13:15–14:00

Keynote: Learning clinically useful information from medical images

Daniel Rueckert (Imperial College London)

 

14:00–14:45

Keynote: Personalized Blood Flow Simulation: Changing the Treatment Paradigm for Cardiovascular Disease

Leo Grady (HeartFlow) 

 
14:45–15:00  Break   
15:00–16:00 

Panel session 2: Theory and Practice.

What strategies should we develop to validate imaging research in the clinic through national and even international collaboration?

Chair: Professor Fiona Gilbert, Professor of Radiology Addenbrooke's Hospital, Cambridge

 
16:00–16:30  The Medical Imaging Initiative   
16:30–17:00  Closing remarks   

18:30– 20:30

Dinner

Riverside Restaurant

Cambridge 

 

Tuesday, November 19

Time

Event/Topic

 Location

9:15–12:00

Open house

  • Demonstrations and discussions
    • Clinical and research discussions on any medical imaging-related topic
      We would like to invite attendees to define their own areas for discussion

Medical Imaging software demos
Faster image segmentation using GeoS - Indeera Munasinghe
GeoS uses Geodesic Distance Transforms  to drastically reduce the time required to segment medical images. We will demonstrate the value of this freely-available tool and would welcome discussions on how this tool should be enhanced in future versions.

Codalab: A Platform to Share Medical Images and Algorithms – Ivan Judson
Codalab is an open source platform that uses the cloud to share medical datasets and algorithms. It currently provides an environment to enable competing groups to benchmark their algorithms against common datasets, and is rapidly expanding to support algorithm development, workflow and a flexible online environment for research. We would like to demonstrate what has been built so far, invite other groups to use it, and also to join us in development of new features to better-serve the community.

 

Microsoft Research Cambridge
12:00–13:00  Lunch   
13:00  Event ends