@article {10.1117/1.JMI.13.1.014507,
	title = {Deep learning-based mediastinal lymph node assessment on PET/CT images without pixel-level annotations},
	journal = {Journal of Medical Imaging},
	volume = {13},
	number = {1},
	year = {2026},
	pages = {014507},
	publisher = {SPIE},
	keywords = {Artificial Intelligence, Deep Learning, Diagnostics, Education and training, Image registration, Image segmentation, image-level labels, Lymph nodes, Machine Learning, mediastinal lymph nodes, N-staging, Prior knowledge, priors, Tumors, weakly supervised learning},
	doi = {10.1117/1.JMI.13.1.014507},
	url = {https://doi.org/10.1117/1.JMI.13.1.014507},
	author = {Engelson, Sofija and Elser, Yannic and Sieren, Malte Maria and Jan Ehrhardt and Andresen, Julia and Schierholz, Stefanie and Tobias Keck and Daniel Dr{\"o}mann and Barkhausen, J{\"o}rg and Heinz Handels}
}
