Karol Gotkowski

Machine Learning Engineer

Karol Gotkowski is a machine learning engineer in the Applied Computer Vision Lab (ACVL) at the Deutsche Krebsforschungszentrum in Heidelberg.

The focus of his work is to develop pragmatic data-driven deep learning solutions together with collaboration partners from all over Helmholtz and beyond to expand the use of AI in a multitude of different domains. These collaborations range from diabetes detection in whole slide images, to mineral particle instance segmentation for automated mineral quantification, to bubble detachment analysis during the process of electrolysis.

Karol has a M.Sc. degree in computer science from the Technische Universität Darmstadt.

Publication

Klein, L., Ziegler, S., Gerst, F., Morgenroth, Y., Gotkowski, K., Schöniger, E., Heni, M., Kipke, N., Friedland, D., Seiler, A., Geibelt, E., Yamazaki, H., Häring, H. U., Wagner, S., Nadalin, S., Königsrainer, A., Mihaljević, A. L., Hartmann, D., Fend, F., … Wagner, R. (2024). Explainable AI-based analysis of human pancreas sections identifies traits of type 2 diabetes. medRxiv. https://doi.org/10.1101/2024.10.23.24315937

Gotkowski, K., Lüth, C., Jäger, P. F., Ziegler, S., Krämer, L., Denner, S., Xiao, S., Disch, N., Maier-Hein, K. H., & Isensee, F. (2024). Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation (arXiv:2403.12834). arXiv. https://doi.org/10.48550/arXiv.2403.12834

Gupta, S., da Assuncao Godinho, J. R., Gotkowski, K., & Isensee, F. (2024). Standardized and semiautomated workflow for 3D characterization of liberated particles. Powder Technology, 433, 119159. https://doi.org/10.1016/j.powtec.2023.119159

Gotkowski, K., Gupta, S., Godinho, J. R. A., Tochtrop, C. G. S., Maier-Hein, K. H., & Isensee, F. (2024). ParticleSeg3D: A scalable out-of-the-box deep learning segmentation solution for individual particle characterization from micro CT images in mineral processing and recycling. Powder Technology, 434, 119286. https://doi.org/10.1016/j.powtec.2023.119286

Gotkowski, K., Gonzalez, C., Kaltenborn, I. J., Fischbach, R., Bucher, A., & Mukhopadhyay, A. (2022, June 22). i3Deep: Efficient 3D interactive segmentation with the nnU-Net. Medical Imaging with Deep Learning. https://openreview.net/forum?id=R420Pr5vUj3