Mummering workshop on the analysis of large 3D/4D datasets
from
Tuesday, 8 September 2020 (14:00)
to
Friday, 11 September 2020 (14:30)
Monday, 7 September 2020
Tuesday, 8 September 2020
14:00
welcome coffee
welcome coffee
14:00 - 14:30
Room: Compute room 062
14:30
Scientific motivation (R. Mokso)
Scientific motivation (R. Mokso)
14:30 - 15:15
Room: Compute room 062
15:15
Basic concepts of image analysis: from 2D to 3D - DAHL
Basic concepts of image analysis: from 2D to 3D - DAHL
15:15 - 16:00
Room: Compute room 062
16:00
fruit break
fruit break
16:00 - 16:20
Room: Compute room 062
16:20
Data handling / sharing - Rasmus
Data handling / sharing - Rasmus
16:20 - 17:00
Room: Compute room 062
17:00
Workflows: David
Workflows: David
17:00 - 18:00
Room: Compute room 062
18:00
mingle
mingle
18:00 - 19:00
Room: Compute room 062
Wednesday, 9 September 2020
08:30
morning coffee
morning coffee
08:30 - 09:00
Room: Compute room 062
09:00
Big data quantification - K. MADER
Big data quantification - K. MADER
09:00 - 09:45
Room: Compute room 062
09:45
Big data quantification - K. MADER
Big data quantification - K. MADER
09:45 - 10:30
Room: Compute room 062
10:30
coffee break
coffee break
10:30 - 10:50
Room: Compute room 062
10:50
Visualisation tools - V. Dahl
Visualisation tools - V. Dahl
10:50 - 12:00
Room: Compute room 062
12:00
lunch
lunch
12:00 - 13:00
Room: Compute room 062
13:00
Virtual reality tools - T. GRANDSAERT
Virtual reality tools - T. GRANDSAERT
13:00 - 13:30
Room: Compute room 062
13:30
Granular materials in action (Stephen Hall, Lund)
Granular materials in action (Stephen Hall, Lund)
13:30 - 14:30
Room: Compute room 062
14:30
coffee break
coffee break
14:30 - 14:50
Room: Compute room 062
14:50
virtual tour of DTU imaging centre and MAX IV
virtual tour of DTU imaging centre and MAX IV
14:50 - 15:50
Room: Compute room 062
Thursday, 10 September 2020
08:30
wake up coffee
wake up coffee
08:30 - 09:00
Room: Compute room 062
09:00
Overview of machine learning approaches (David Rousseau, Angers)
Overview of machine learning approaches (David Rousseau, Angers)
09:00 - 09:55
Room: Compute room 062
09:55
small break
small break
09:55 - 10:05
Room: Compute room 062
10:05
how to run your own ML jupyter notebook (David Rousseau, Angers)
how to run your own ML jupyter notebook (David Rousseau, Angers)
10:05 - 11:00
Room: Compute room 062
11:00
introduction
introduction
11:00 - 11:30
Room: Compute room 062
11:30
lunch
lunch
11:30 - 12:30
Room: Compute room 062
12:30
sharing image analysis algorithms and know-how
sharing image analysis algorithms and know-how
12:30 - 14:30
Room: Compute room 062
13:30
IPR
IPR
13:30 - 14:30
Room: Compute room 062
14:30
Closing
Closing
14:30 - 15:00
Room: Compute room 062
15:00
continuation
continuation
15:00 - 17:00
Room: Compute room 062
Supervisory board meeting
Supervisory board meeting
15:00 - 17:00
Room: Compute room 062
17:00
Results from work groups
Results from work groups
17:00 - 18:00
Room: Compute room 062
Friday, 11 September 2020
08:30
GA
GA
08:30 - 14:30
Room: Compute room 062