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

→ Europe/Stockholm
Compute room 062 (Building 310, DTU compute, Lyngby campus)

Compute room 062

Building 310, DTU compute, Lyngby campus

Lyngby campus, Copenhagen
Rajmund Mokso (Max IV)
Description

Introdcution to fundamentals of image analysis and hands-on sessions with experts. Directed to PhD students and scientists who own large 3D and 4D datasets and wants to learn how to analyse them.

 

PARTICIPATION IN PERSON IS PREFERRED, HOWEVER THE EVENT WILL ALSO BE STREAMED VIA MICROSOFT TEAMS.

Registration
Registration, Mummering workshop: Analysis of Large 3D/4D Datasets
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Participants
45 View full list
  • 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
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