M. Sc. Niklas Koser
Contact
Room: EG.008
E-Mail: niklas.koser@informatik.uni-kiel.de
Tel: TBD​​​​​​​​​​​
Social Media: LinkedIn
Research Interests
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Fracture Risk Prediction
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Super-Resolution
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Generative AI
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Machine Learning
Publications
N. C. Koser, M. J. Finck, F. N. von Brackel, B. Ondruschka, S. Pirk, C.-C. Glüer, Real Super-Resolution for Proximal Femur: Enhanced Computation of Structural Bone Metrics from Clinical CTs, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025
[DOI]
C. J. Hansen, P. Kloehn, A.-L. Kollster, T. Gehrmann, J. Conrad, N. C. Koser, C. Graetz, C.-C. Glüer, J.-B. Hövener, A Two Stage Pipeline for Automated Caries Detection on Single Tooth Images from Panoramic Radiographs, In Southern African Conference for Artificial Intelligence Research (pp. 159-175). Cham: Springer Nature Switzerland, 2025
[DOI]
M. J. Finck, N. C. Koser, J. B. Hövener, C.-C. Glüer, S. Prik, FemoraLyze: A Modular Framework for Proximal Femur Analysis, Medical Imaging with Deep Learning-Short Papers. 2025
[DOI]
N. C. Koser, E. B. Yilmaz, T. Damm, L. Y. L. Lui, S. R. Cummings, C.-C. Glüer, AI Hip Fracture Prediction Models based on DXA Images of the Proximal Femur or Pelvic Radiographs are Both Stronger Compared to Standard DXA Femoral Neck BMD Models, Journal of bone and mineral research (vol. 39, pp. 357-357), 2024
[DOI]
C. J. Hansen, J. Conrad, R. Seidel, N. R. Krekiehn, E. Yilmaz, N. Koser, .M. Goetze, T. Gehermann, S. Lauterbach, C. Graetz, C. Dörfer, C.-C. Glüer, Automated Tooth Instance Segmentation and Pathology Annotation Pipeline for Panoramic Radiographs: Mask-R-CNN Approach with Elastic Transformations. In BVM Workshop (pp. 237-242), 2024
[DOI]
T. Damm, L. Schmarje, N. Koser, S. Reinhold, E. Yilmaz, N. Krekiehn, L.-Y. Lui, J. T. Schousboe, S. R. Cummings, R. Koch, C.-C. Glüer, Artificial intelligence-driven hip fracture prediction based on pelvic radiographs exceeds performance of DXA: the" Study of Osteoporotic Fractures"(SOF). In Journal of Bone and Mineral Research (Vol. 37, pp. 193-193), 2022
[DOI]
Short CV
since December 2025
PhD Student and Research Assistant
Research group Visual Computing and Artificial Intelligence of the Institute of Computer Science at Kiel University.
2023 - 2025
PhD Student and Research Assistant
University Hospital of Schleswig-Holstein (UKSH)
I2Lab@Section for Biomedical Imaging
2020- 2023
M. Sc. Medical Computer Science
Unviersity of Lübeck
Thesis Title: Unsupervised Ultrasound Segmentation with Modality Translation and Domain Adaptation
2016- 2020
B. Sc. Computer Science
Kiel University
Thesis Title: Research on the classification of spinal fractures in two-dimensional data using convolutional neural networks