Challenges


Every year, hundreds of new algorithms are published in the field of biomedical image analysis. For a long time, validation and evaluation of new methods was based on the authors’ personal data sets, rendering fair and direct comparison of solutions impossible. In the meantime, common research practice has changed and involves organization of international competitions (‘challenges’) that allow for benchmarking algorithms on publicly released data sets. While this was a great step forward, “advancement of science requires continuous examination of the principles and practices by which the research community operates” [1]. After 10 years of grand biomedical challenges at MICCAI, we have carefully analyzed and critically questioned common practice related to the design and organization of biomedical challenges [2,3]. Given this analysis, the mission of the MICCAI challenge working group is to bring MICCAI challenges to the next level of quality.

  

Working group composition

The MICCAI challenge working group was founded in summer 2018 and has the following active members:

lena

Lena Maier-Hein (Chair)

Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany Read more 


martel

Anne Martel

Department of Medical Biophysics, University of Toronto, Ontario, Canada, Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada Read more 

 

michal

Michal Kozubek

Centre for Biomedical Image Analysis, Masaryk University, Brno, Czech Republic Read more

 

 

bennet

Bennett Landman

Electrical Engineering, Vanderbilt University, Nashville, Tennessee, USA Read more 

  

koop

Annette Kopp-Schneider

Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany Read more

 

anniika

Annika Reinke
(Student representative)

Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany Read more