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
Participants
  • abdellatif SAADALDIN
  • Anders Dahl
  • Andreas Kupsch
  • Anuj Prajapati
  • Azat Slyamov
  • Behnaz Pirzamanbein
  • Chaoling Xu
  • Chenhao Wang
  • Daniel Lichau
  • David Marchant
  • David ROUSSEAU
  • Dominique Bernard
  • Doniyor Jumanazarov
  • Elise brenne
  • Federica Marone
  • Giovanni Bruno
  • Hadhami GARBOUGE
  • Hanne Lauritzen
  • Hans Martin Kjer
  • Hongyu Sun
  • Jakeoung Koo
  • Jens Wenzel Andreasen
  • Jisoo Kim
  • Joost Batenburg
  • Kenneth Skovhede
  • Kevin Mader
  • Mihai IOVEA
  • Mouad ZINE EL ABIDINE
  • Norbert Babcsán
  • Peter Stanley Jørgensen
  • Philip Withers
  • Poulami Somanya Ganguly
  • QIONGYANG CHEN
  • Rajmund Mokso
  • Rasmus Munk
  • Robert Auenhammer
  • Sara Bals
  • Shiva Hosseinnejad
  • Silas Ørting
  • Sotirios Magkos
  • Stephen Hall
  • Thomas Grandsaert
  • Tuerdi Maimaitiyili
  • Vedrana Dahl
  • William Laprade
    • 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
    • 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
    • 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
    • 08:30 14:30
      meeting: GA
Your browser is out of date!

Update your browser to view this website correctly. Update my browser now

×