Dr. Aaron Scherzinger

Research Assistant
© Uni MS

Tel: +49 251 83 - 32704
scherzinger(AT)wwu.de

University of Münster
Department of Computer Science
Einsteinstrasse 62
D-48149 Münster

Office 610
Consultation hour: by appointment

 
Research Foci
  • Biomedical Image Processing and Analysis
  • Pattern Recognition and Machine Learning
  • Scientific Visualization and Computer Graphics
Doctoral AbstractThesis

Data Exploration in Natural Sciences using Machine Learning and Scientific Visualization

Supervisors
Doctoral Subject
Informatik
Doctoral Degree
Dr. rer. nat.
Awarded by
Department 10 – Mathematics and Computer Science
Prize
SciVis Contest AwardIEEE VIS: Visualization & Visual Analytics
Teaching

Publications

  • , , , , and . . “Scalable robust graph and feature extraction for arbitrary vessel networks in large volumetric datasets.BMC Bioinformatics 22 (1) 346. doi: 10.1186/s12859-021-04262-w.

  • , , and . . “GERoMe – a method for evaluating stability of graph extraction algorithms without ground truth.IEEE Access 7: 2174421755. doi: 10.1109/ACCESS.2019.2898754.

  • , , , , , and . . “Automatic non-invasive heartbeat quantification of Drosophila pupae.Computers in Biology and Medicine 93: 189199.
  • . . “Data Exploration in Natural Sciences using Machine Learning and Scientific Visualization.Dissertation thesis, Universität Münster.
  • , , , and . . Barista - a graphical tool for designing and training deep neural networks arXiv e-print:1802.04626: CoRR.
  • , , and . . “Three-Dimensional Visualization of the Lymphatic Vasculature.” in Lymphangiogenesis - Methods and Protocols, Vol.1846 of Methods in Molecular Biology, edited by G Oliver and ML Kahn. New York, NY: Springer. doi: 10.1007/978-1-4939-8712-2_1.
  • , , , , and . . “Multi-class Cell Segmentation using CNNs with F1-measure Loss Function.” contribution to the Proc. of 40th German Conference on Pattern Recognition (GCPR), Stuttgart

  • , , , , , and . . “Statistical permutation-based artery mapping (SPAM): A novel approach to evaluate imaging signals in the vessel wall.BMC Medical Imaging 17 (1): 36:1–36:11..
  • , , and . . “An enhanced multi-label random walk for biomedical image segmentation using statistical seed generation.” contribution to the Proc. of 18th Int. Confernce on Advanced Concepts for Intelligent Vision Systems (ACIVS), Antwerp, Belgium
  • , , , , , , , , , , , , , , , and . . “VIPAR, a quantitative approach to 3D-histopathology applied to lymphatic malformations.JCI Insight 2 (16): e93424.
  • , , , and . . “CNN-based background subtraction for long-term in-vial FIM imaging.” contribution to the Proc. of 17th Int. Conf. on Computer Analysis of Images and Patterns (CAIP), Ystad, Sweden
  • , , , and . . “Interactive Exploration of Cosmological Dark-Matter Simulation Data.IEEE Computer Graphics and Applications 37 (2): 8089.
  • , , and . . “An Efficient Geometric Algorithm for Clipping and Capping Solid Triangle Meshes.” contribution to the 12th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 1: GRAPP, Porto, Portugal , edited by Ana Paula Cláudio, Dominique Bechmann and BrazJose.
  • , , and . . “GERoMe - A novel graph extraction robustness measure.” contribution to the Proc. of Int. Workshop on Graph-Based Representations in Pattern Recognition (GbR), Anacapri, Italy

  • , , , , , and . . “Automated Segmentation of Immunostained Cell Nuclei in 3D Ultramicroscopy Images.” in Vol.9796 of Lecture Notes in Computer Science Springer.

  • , , , and . . “Visualize the Universe: Interactive Exploration of Cosmological Dark Matter Simulation Data.” contribution to the IEEE Visualization Conference 2015 October 25-30, Chicago, Il, USA Wiley-IEEE Press.
  • , , , and . . “Interactive Position-dependent Customization of Transfer Function Classification Parameters in Volume Rendering.” contribution to the Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2015, Chester, England
  • , , and . . “SKInteract: An on-body interaction system based on skin-texture recognition.” in Vol.9299 of Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Springer. doi: 10.1007/978-3-319-22723-8_34.