Mummering workshop on the analysis of large 3D/4D datasets (8-11 September 2020)

Tuesday, 8 September
- 14:00 → 14:30
  
  welcome coffee 30m
- 14:30 → 15:15
  
  Introduction: Scientific motivation (R. Mokso)
- 15:15 → 16:00
  
  Introduction: Basic concepts of image analysis: from 2D to 3D - DAHL
- 16:00 → 16:20
  
  fruit break 20m
- 16:20 → 17:00
  
  Introduction: Data handling / sharing - Rasmus
- 17:00 → 18:00
  
  Tutorial / hands-on: Workflows: David
- 18:00 → 19:00
  
  mingle 1h
Wednesday, 9 September
- 08:30 → 09:00
  
  morning coffee 30m
- 09:00 → 09:45
  
  technical lecture: Big data quantification - K. MADER
- 09:45 → 10:30
  
  Tutorial / hands-on: Big data quantification - K. MADER
- 10:30 → 10:50
  
  coffee break 20m
- 10:50 → 12:00
  
  technical lecture: Visualisation tools - V. Dahl
- 12:00 → 13:00
  
  lunch 1h
- 13:00 → 13:30
  
  Tutorial / hands-on: Virtual reality tools - T. GRANDSAERT
- 13:30 → 14:30
  
  science keynote: Granular materials in action (Stephen Hall, Lund)
- 14:30 → 14:50
  
  coffee break 20m
- 14:50 → 15:50
  
  Facility tour: virtual tour of DTU imaging centre and MAX IV
Thursday, 10 September
- 08:30 → 09:00
  
  wake up coffee 30m
- 09:00 → 09:55
  
  technical lecture: Overview of machine learning approaches (David Rousseau, Angers)
- 09:55 → 10:05
  
  small break 10m
- 10:05 → 11:00
  
  Tutorial / hands-on: how to run your own ML jupyter notebook (David Rousseau, Angers)
- 11:00 → 11:30
  
  group work: introduction
- 11:30 → 12:30
  
  lunch 1h
- 12:30 → 14:30
  
  group work: sharing image analysis algorithms and know-how
- 13:30 → 14:30
  
  meeting: IPR
- 14:30 → 15:00
  
  closing: Closing
- 15:00 → 17:00
  
  group work: continuation
- 15:00 → 17:00
  
  meeting: Supervisory board meeting
- 17:00 → 18:00
  
  group work: Results from work groups
Friday, 11 September
- 08:30 → 14:30
  
  meeting: GA

Mummering workshop on the analysis of large 3D/4D datasets

Compute room 062

Building 310, DTU compute, Lyngby campus