Thomas Schultz
Prof. Dr. Thomas Schultz
  • Bonn-Aachen International Center for IT (b-it)
  • Institute for Computer Science
  • image analysis
  • data visualization
My scientific interests relate to aiding the discovery of regularities in medical and scientific data through image analysis and data visualization. The increasing availability of large, complex, and dynamic image data challenges traditional approaches to image analysis and interpretation. At the same time, given the right computational tools, these datasets enable novel types of statistical analysis and predictive modeling. Within this domain, my work focuses on approaches that integrate automated pattern recognition with interactive visual analysis.
Ausgewählte Publikationen

Khatami M, Schmidt-Wilcke T, Sundgren PC, Abbasloo A, Schoelkopf B, Schultz T (2017) BundleMAP: Anatomically Localized Classification, Regression, and Hypothesis Testing in Diffusion MRI. Pattern Recognition 63:593-600

Abbasloo A, Wiens V, Hermann M, Schultz T (2016) Visualizing Tensor Normal Distributions at Multiple Levels of Detail. IEEE Trans. on Visualization and Computer Graphics 22(1):975-984

Koch A, Zhukov A, Stoecker T, Groeschel S, Schultz T (2019) SHORE‐based detection and imputation of dropout in diffusion MRI. Magnetic Resonance in Medicine 82(6):2286-2298

Gorgi Zadeh S, Wintergerst MWM, Schultz T (2019) Intelligent interaction and uncertainty visualization for efficient drusen and retinal layer segmentation in Optical Coherence Tomography. Computers and Graphics 83:51-61

Thomas Schultz
Prof. Dr. Thomas Schultz
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