Research Areas
- Volume and image processing
- Ressource constrained (esp. out-of-core) computing
- Nanophotonic neural networks
CV
Education
- Ph. D. studies, Pattern Recognition and Image Analysis group (Prof. Xiaoyi Jiang)
- Master of Science (Computer Science), University of Münster
Honors
- Förderpreis der Angewandten Informatik – IHK Nord Westfalen
- SciVis Contest Award – IEEE VIS: Visualization & Visual Analytics
External Function
- University of Münster (Voreen-Project, Core Team Member)
Publications
- . ‘Activation Functions in Non-Negative Neural Networks.’ contributed to the Machine Learning and the Physical Sciences Workshop, NeurIPS, New Orleans, .
- . . ‘Hierarchical random walker segmentation for large volumetric biomedical images.’ IEEE Transactions on Image Processing 31: 4431–4446. doi: 10.1109/TIP.2022.3185551.
- . . ‘A Bhattacharyya coefficient-based framework for noise model-aware random walker image segmentation.’ In Proc. of GCPR, edited by , 166–181. Cham, Switzerland: Springer Nature.
- . . Efficient Out-of-Core Methods for Biomedical Volume Processing and Analysis Dissertation thesis, University of Münster. ULB Münster.
- . . ‘Scalable robust graph and feature extraction for arbitrary vessel networks in large volumetric datasets.’ BMC Bioinformatics 22, No. 1: 346. doi: 10.1186/s12859-021-04262-w.
- . . ‘Rapid methods for the evaluation of fluorescent reporters in tissue clearing and the segmentation of large vascular structures.’ iScience 24, No. 6: 102650. doi: 10.1016/j.isci.2021.102650.
- . . ‘GERoMe – a method for evaluating stability of graph extraction algorithms without ground truth.’ IEEE Access 7: 21744–21755. doi: 10.1109/ACCESS.2019.2898754.
- . . Barista - a graphical tool for designing and training deep neural networks. arXiv e-print:1802.04626: CoRR.
- . . ‘VIPAR, a quantitative approach to 3D-histopathology applied to lymphatic malformations.’ JCI Insight 2, No. 16: e93424.
- . ‘Interactive Exploration of Cosmological Dark-Matter Simulation Data.’ IEEE Computer Graphics and Applications 37, No. 2: 80–89.
- . . ‘GERoMe - A novel graph extraction robustness measure.’ Contributed to the Proc. of Int. Workshop on Graph-Based Representations in Pattern Recognition (GbR), Anacapri, Italy.
- . ‘Visualize the Universe: Interactive Exploration of Cosmological Dark Matter Simulation Data.’ Contributed to the IEEE Visualization Conference 2015 October 25-30, Chicago, Il, USA.
Dr. Dominik Drees
Postdoc
