Paper Accepted at MELBA Journal
Stefan M. Fischer’s submission to the MICCAI2023 Lymph Node Quantification Challenge won the 3rd price.
Therefore, the challenge team was invited for a presentation at MICCAI 2023 and to a Special Issue Submission at the MELBA Journal.
The journal submission “Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge” is now available at MELBA.
The paper is available here.
Stefan Fischer
Doctoral Researcher
My research interests include Radiooncology and Interpretable Machine Learning.
Johannes Kiechle
Doctoral Researcher
My research interests include shape analysis, representation learning, radioonkology.
Daniel M. Lang
Research Scientist
My research focuses on the application of deep learning models for problem settings in cancer imaging.