Keynote Talk: Lena Maier-Hein

The devil is in the details: On the importance of professionalizing the whole image analysis pipeline

Time and Location

Oct. 12th, 02:10 PM to 02:50 PM (PDT- Pacific Daylight Time)
Meeting Room 14, Vancouver Convention Center East Building Level 1


Intelligent medical systems capable of capturing and interpreting sensor data and providing context-aware assistance promise to revolutionize interventional healthcare. However, a number of (sometimes non-obvious) factors substantially impede successful adoption of modern machine learning research for clinical use. Drawing from research within my own group as well as large international expert consortia, I will discuss pervasive shortcomings and new solutions in current medical imaging procedures with a specific focus on challenges arising from poor reference labels as well as data distribution shifts. My talk will showcase the importance of systematically professionalizing every aspect of the medical imaging pipeline to the end of readying intelligent imaging systems for clinical use.

Speaker’s Bio

Lena Maier-Hein is a full professor at Heidelberg University (Germany) and managing director of the National Center for Tumor Diseases (NCT) Heidelberg. At the German Cancer Research Center (DKFZ) she is head of the division Intelligent Medical Systems (IMSY) and managing director of the “Data Science and Digital Oncology” cross-topic program. Her research concentrates on machine learning-based biomedical image analysis with a specific focus on surgical data science, computational biophotonics and validation of machine learning algorithms. She is a fellow of the Medical Image Computing and Computer Assisted Intervention (MICCAI) society and of the European Laboratory for Learning and Intelligent Systems (ELLIS), president of the MICCAI special interest group on challenges and chair of the international surgical data science initiative.

Lena Maier-Hein serves on the editorial board of the journals Nature Scientific Data, IEEE Transactions on Pattern Analysis and Machine Intelligence and Medical Image Analysis. During her academic career, she has been distinguished with several science awards including the 2013 Heinz Maier Leibnitz Award of the German Research Foundation (DFG) and the 2017/18 Berlin-Brandenburg Academy Prize. She has received a European Research Council (ERC) starting grant (2015-2020) and consolidator grant (2021-2026).