Join the next MICCAI SIG for Challenges Webinar on Metrics Reloaded: From segmentation to calibration on 17 February at 12:30pm GMT (7:30am EDT, 1:30pm CET). Free registration is available here.
This webinar series – jointly organized by the MICCAI SIG for Challenges and MICCAI Student Board – aims to educate medical imaging researchers on how to successfully participate in and conduct challenges. A particular focus will be placed on issues of quality control and validation using appropriate metrics from the organizers’ and participants’ points of view.
The third webinar of the series on “Metrics Reloaded: From segmentation to calibration” features the invited speakers:
- Paul F. Jaeger is a principal investigator at the Interactive Machine Learning Group at the German Cancer Research Center and Helmholtz Imaging. His research focuses on image analysis algorithms, with a particular focus on human interaction. Paul won numerous international competitions on biomedical image analysis and first-authored relevant contributions to the field in high impact journals and conferences like Nature Methods or ICLR. As founder and organizer of heidelberg.ai, Paul helps to connect over 2000 members of the local AI community at monthly events that attract top international scientists to Heidelberg. For his work, Paul received the “Richtzenhain Award for Translational Cancer Research” as well as the “Roland-Ernst Award for Interdisciplinary Research in Radiology”.
- Annika Reinke joined the division of Intelligent Medical Systems at the German Cancer Research Center (DKFZ) to adapt mathematical concepts to societally relevant topics, like scientific benchmarking and validation. Having published disruptive findings on biomedical image analysis challenges in Nature Communications, she is a founding member of the initiative of Biomedical Image Analysis ChallengeS (BIAS) aiming for bringing biomedical image analysis challenges to the next level of quality. She serves as the secretary of the MICCAI special interest group on biomedical challenges and as an active member and taskforce lead of the MONAI working group on evaluation, reproducibility and benchmarking.
- Florian Buettner is a physicist by training and earned his PhD in physics from the University of London/Institute of Cancer Research in 2011. He then focussed his research efforts on bioinformatics and machine learning at the Helmholtz Zentrum München and the European Bioinformatics Institute in Cambridge. He subsequently transitioned to industry and worked as an expert in artificial intelligence at Siemens AG. Now a professor at Goethe University Frankfurt and the German Cancer Research Center (DKFZ)/German Consortium for Translational Cancer Research (DKTK), Florian is currently doing research at the interface between (single-cell) bioinformatics, machine learning and oncology. In collaboration-driven research, he contributes to developing a better understanding of the molecular heterogeneity of cancer by developing interpretable and trustworthy machine learning methods.
About SIG for Challenges
The mission of the MICCAI Special Interest Group (SIG) for Challenges is to establish best practices for the community, take a leading role in method benchmarking, and provide assistance in challenge-related aspects. More information about the SIG
Webinar Organizing Committee:
Representatives from SIG for Challenges: Pingkun Yan, Annika Reinke, Lena Maier-Hein
Student board members: Camila Gonzalez, Ahmed Nebli, Emmanuelle Bourigault