No current affiliations available for this person. The person is no longer active at the university.

Academic Education
12/2016 - 10/2022	Ph. D. studies, Pattern Recognition and Image Analysis group (Prof. Xiaoyi Jiang)
10/2014 - 10/2016	Master of Science (Computer Science), University of Münster
Functions and Memberships
since 2015	Core Team Member, Voreen-Project, University of Münster

S-ROPE: Spectral Frame Representation of Periodic Events Garcia Rodriguez, Luis; Konrad, Jonas; Drees, Dominik; Risse, Benjamin (2025) In: Del Bue, Alessio; Canton, Cristian; Pont-Tuset, Jordi; Tommasi,Tatiana (eds.), Computer Vision – ECCV 2024 Workshops, 307-324. Cham: Springer Nature. doi:10.1007/978-3-031-92460-6 Research article in edited proceedings (conference) \| Peer reviewed \| Published
Activation Functions in Non-Negative Neural Networks Becker, Marlon; Drees, Dominik; Brückerhoff-Plückelmann, Frank; Schuck, Carsten; Pernice, Wolfram; Risse, Benjamin (2023) In: Machine Learning and the Physical Sciences Workshop, NeurIPS, New Orleans, United States. Poster \| Peer reviewed \| Published
Hierarchical random walker segmentation for large volumetric biomedical images Drees D, Eilers F, Jiang X (2022) In: IEEE Transactions on Image Processing, 31, 4431-4446. doi:10.1109/TIP.2022.3185551 Research article (journal) \| Peer reviewed \| Published
A Bhattacharyya coefficient-based framework for noise model-aware random walker image segmentation Drees D, Eilers F, Bian A, Jiang X (2022) In: Andres B, Bernard F, Cremers D, Frintrop S, Goldlücke B, Ihrke I (eds.), Proc. of GCPR, 166-181. Cham, Switzerland: Springer Nature. Research article in edited proceedings (conference) \| Peer reviewed \| Published
Efficient Out-of-Core Methods for Biomedical Volume Processing and Analysis Drees, Dominik (2022) ULB Münster(kein Verlag angegeben). Thesis (doctoral or post-doctoral) \| Published

Förderpreis der Angewandten Informatik 2022 (1st prize) Awarded by: IHK Nord Westfalen Award given to: Drees, Dominik Announced at: 15/12/2022 \| Date of awarding: 15/12/2022 Type of distinction: Research award or other distinction
Best Contest Award SciVis Contest 2015 Awarded by: IEEE VIS 2015 Award given to: Scherzinger, Aaron; Brix, Tobias; Drees, Dominik; Völker, Andreas; Radkov, Kiril; Santalidis, Niko; Fieguth, Alexander; Hinrichs, Klaus Announced at: 15/10/2015 \| Date of awarding: 15/10/2015 Type of distinction: Research award or other distinction

S-ROPE: Spectral Frame Representation of Periodic Events Garcia Rodriguez, Luis; Konrad, Jonas; Drees, Dominik; Risse, Benjamin (2025) In: Del Bue, Alessio; Canton, Cristian; Pont-Tuset, Jordi; Tommasi,Tatiana (eds.), Computer Vision – ECCV 2024 Workshops, 307-324. Cham: Springer Nature. doi:10.1007/978-3-031-92460-6 Research article in edited proceedings (conference) \| Peer reviewed \| Published
Activation Functions in Non-Negative Neural Networks Becker, Marlon; Drees, Dominik; Brückerhoff-Plückelmann, Frank; Schuck, Carsten; Pernice, Wolfram; Risse, Benjamin (2023) In: Machine Learning and the Physical Sciences Workshop, NeurIPS, New Orleans, United States. Poster \| Peer reviewed \| Published
Hierarchical random walker segmentation for large volumetric biomedical images Drees D, Eilers F, Jiang X (2022) In: IEEE Transactions on Image Processing, 31, 4431-4446. doi:10.1109/TIP.2022.3185551 Research article (journal) \| Peer reviewed \| Published
A Bhattacharyya coefficient-based framework for noise model-aware random walker image segmentation Drees D, Eilers F, Bian A, Jiang X (2022) In: Andres B, Bernard F, Cremers D, Frintrop S, Goldlücke B, Ihrke I (eds.), Proc. of GCPR, 166-181. Cham, Switzerland: Springer Nature. Research article in edited proceedings (conference) \| Peer reviewed \| Published
Efficient Out-of-Core Methods for Biomedical Volume Processing and Analysis Drees, Dominik (2022) ULB Münster(kein Verlag angegeben). Thesis (doctoral or post-doctoral) \| Published