Dominik Drees

According to our database, Dominik Drees authored at least 12 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Efficient Out-of-Core methods for biomedical volume processing and analysis.

Dominik Drees

PhD thesis, 2022

Hierarchical Random Walker Segmentation for Large Volumetric Biomedical Images.

Dominik Drees, Florian Eilers, Xiaoyi Jiang

IEEE Trans. Image Process., 2022

Voreen - An Open-source Framework for Interactive Visualization and Processing of Large Volume Data.

Dominik Drees, Simon Leistikow, Xiaoyi Jiang, Lars Linsen

CoRR, 2022

A Bhattacharyya Coefficient-Based Framework for Noise Model-Aware Random Walker Image Segmentation.

Dominik Drees, Florian Eilers, Ang Bian, Xiaoyi Jiang

Proceedings of the Pattern Recognition, 2022

2021

A Streaming Volumetric Image Generation Framework for Development and Evaluation of Out-of-Core Methods.

Dominik Drees, Xiaoyi Jiang

CoRR, 2021

Hierarchical Random Walker Segmentation for Large Volumetric Biomedical Data.

Dominik Drees, Xiaoyi Jiang

CoRR, 2021

Scalable robust graph and feature extraction for arbitrary vessel networks in large volumetric datasets.

Dominik Drees, Aaron Scherzinger, René Hägerling, Friedemann Kiefer, Xiaoyi Jiang

BMC Bioinform., 2021

2019

GERoMe-a Method for Evaluating Stability of Graph Extraction Algorithms Without Ground Truth.

Dominik Drees, Aaron Scherzinger, Xiaoyi Jiang

IEEE Access, 2019

2018

Barista - a Graphical Tool for Designing and Training Deep Neural Networks.

Sören Klemm, Aaron Scherzinger, Dominik Drees, Xiaoyi Jiang

CoRR, 2018

2017

Interactive Exploration of Cosmological Dark-Matter Simulation Data.

Aaron Scherzinger, Tobias J. Brix, Dominik Drees, Andreas Völker, Kiril Radkov, Niko Santalidis, Alexander Fieguth, Klaus H. Hinrichs

IEEE Computer Graphics and Applications, 2017

GERoMe - A Novel Graph Extraction Robustness Measure.

Dominik Drees, Aaron Scherzinger, Xiaoyi Jiang

Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

2015

Visualize the universe: Interactive exploration of cosmological dark matter simulation data.

Aaron Scherzinger, Tobias J. Brix, Dominik Drees, Andreas Völker, Kiril Radkov, Niko Santalidis, Alexander Fieguth, Klaus H. Hinrichs

Proceedings of the 2015 IEEE Scientific Visualization Conference, 2015