Publications & Citation

A collection of publications related to Kaapana:

Kaapana: A Comprehensive Open-Source Platform for Integrating AI in Medical Imaging Research Environments

If you want to reference Kaapana, please include this publication.

Akünal Ü, Bujotzek M, Denner S, Hamm B, Kades K, Schader P, Scherer J, Nolden M, Neher P, Floca R, & Maier-Hein K. (2025). Kaapana: A Comprehensive Open-Source Platform for Integrating AI in Medical Imaging Research Environments.

Joint Imaging Platform for Federated Clinical Data Analytics

DOI: 10.1200/CCI.20.00045

Scherer, J., Nolden, M., Kleesiek, J., Metzger, J., Kades, K., Schneider, V., Bach, M., Sedlaczek, O., Bucher, A. M., Vogl, T. J., Grünwald, F., Kühn, J.-P., Hoffmann, R.-T., Kotzerke, J., Bethge, O., Schimmöller, L., Antoch, G., Müller, H.-W., Daul, A., … Maier-Hein, K. (2020). Joint Imaging Platform for Federated Clinical Data Analytics. In JCO Clinical Cancer Informatics (Issue 4, pp. 1027–1038). American Society of Clinical Oncology (ASCO).

Efficient DICOM Image Tagging and Cohort Curation Within Kaapana

DOI: 10.1007/978-3-658-36932-3_59

Kades, K., Scherer, J., Scholtyssek, J., Penzkofer, T., Nolden, M., & Maier-Hein, K. (2022). Efficient DICOM Image Tagging and Cohort Curation Within Kaapana. In Informatik aktuell (pp. 279–284). Springer Fachmedien Wiesbaden.

Real-world federated learning in radiology: hurdles to overcome and benefits to gain

DOI: 10.1093/jamia/ocae259

Bujotzek MR, Akünal Ü, Denner S, Neher P, Zenk M, Frodl E, Jaiswal A, Kim M, Krekiehn NR, Nickel M, Ruppel R, Both M, Döllinger F, Opitz M, Persigehl T, Kleesiek J, Penzkofer T, Maier-Hein K, Bucher A, Braren R. Real-world federated learning in radiology: hurdles to overcome and benefits to gain. J Am Med Inform Assoc. 2025 Jan 1;32(1):193-205.

DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform

DOI: 10.1007/978-3-658-36932-3_58

Fischer, M., Schader, P., Braren, R., Götz, M., Muckenhuber, A., Weichert, W., Schüffler, P., Kleesiek, J., Scherer, J., Kades, K., Maier-Hein, K., & Nolden, M. (2022). DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform. In Informatik aktuell (pp. 273–278). Springer Fachmedien Wiesbaden.

Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana

DOI: 10.1007/978-3-031-18523-6_13

Kades, K., Scherer, J., Zenk, M., Kempf, M., Maier-Hein, K. (2022). Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana. In: , et al. Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health. DeCaF FAIR 2022 2022. Lecture Notes in Computer Science, vol 13573. Springer, Cham.