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Karol Gotkowski
Karol Gotkowski
Karol Gotkowski is a machine learning engineer in the Applied Computer Vision Lab (ACVL), which is part of Helmholtz Imaging. 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.
Projects:
- Helmholtz Imaging
- Mineral particle instance segmentation
- Diabetes detection in WSI (DIADEM)
- Solar Hydrogen
Interests:
- Semantic/Instance segmentation
- Sampling & aggregation strategies
- Pragmatic solutions
- Image manipulation detection