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Ullrich Köthe

Physiker

Name	Ullrich Köthe
Place	Deutschland
Gender	männlich
Academic degree	Prof. Dr. rer. nat. Dipl.-Phys.
Profession	Physiker (characteristic profession)
Variant	Ullrich Koethe
Related	Universität Heidelberg. Interdisziplinäres Zentrum für Wissenschaftliches Rechnen
Further information	Habil. Department Informatik der Univ. Hamburg; Dipl. phys., Dr. rer. nat.; Heidelberg Collaboratory for Image Processing (HCI)
Source	Vorlage; Internet: http://hci.iwr.uni-heidelberg.de/Staff/ukoethe/
Record type	Person
GND-Identifier	123963435
Record ID	123963435
Involved in show all Analysis of Adversarial Examples Architectural Constraints of Normalizing Flows Improving trustworthiness of deep learning via inspectable and robust representations Pattern Recognition : 45th DAGM German Conference, DAGM GCPR 2023, Heidelberg, Germany, September 19–22, 2023, Proceedings Robustness and Domain Generalization Statistical Models for Single-Cell Genetics Neural superstatistics for Bayesian estimation of dynamic cognitive models Conditional Invertible Generative Models for Supervised Problems ProDAS: Probabilistic Dataset of Abstract Shapes Inference of cosmic-ray source properties by conditional invertible neural networks Deep Generative Models for Image-to-Image Translation Inference of cosmic-ray source properties by conditional invertible neural networks ilastik: interactive machine learning for (bio)image analysis Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks Automated tracing of myelinated axons and detection of the nodes of Ranvier in serial images of peripheral nerves Using an n-zone TDI camera for acquisition of multiple images with different illuminations in a single scan Applications of discrete geometry and mathematical morphology : first international workshop ; revised selected papers Applications of Discrete Geometry and Mathematical Morphology : First International Workshop, WADGMM 2010, Istanbul, Turkey, August 22, 2010, Revised Selected Papers Reliable low-level image analysis Topologically correct image segmentation using alpha-shapes Gradient based segmentation requires doubling of the sampling rate Shape preserving digitization of ideal and blurred binary images XPMaps and Topological segmentation : a unified approach to finite topologies in the plane

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Katalog der Deutschen Nationalbibliothek

Ullrich Köthe

Analysis of Adversarial Examples

Architectural Constraints of Normalizing Flows

Improving trustworthiness of deep learning via inspectable and robust representations

Pattern Recognition : 45th DAGM German Conference, DAGM GCPR 2023, Heidelberg, Germany, September 19–22, 2023, Proceedings

Robustness and Domain Generalization

Statistical Models for Single-Cell Genetics

Neural superstatistics for Bayesian estimation of dynamic cognitive models

Conditional Invertible Generative Models for Supervised Problems

ProDAS: Probabilistic Dataset of Abstract Shapes

Inference of cosmic-ray source properties by conditional invertible neural networks

Deep Generative Models for Image-to-Image Translation

Inference of cosmic-ray source properties by conditional invertible neural networks

ilastik: interactive machine learning for (bio)image analysis

Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks

Automated tracing of myelinated axons and detection of the nodes of Ranvier in serial images of peripheral nerves

Using an n-zone TDI camera for acquisition of multiple images with different illuminations in a single scan

Applications of discrete geometry and mathematical morphology : first international workshop ; revised selected papers

Applications of Discrete Geometry and Mathematical Morphology : First International Workshop, WADGMM 2010, Istanbul, Turkey, August 22, 2010, Revised Selected Papers

Reliable low-level image analysis

Topologically correct image segmentation using alpha-shapes

Gradient based segmentation requires doubling of the sampling rate

Shape preserving digitization of ideal and blurred binary images

XPMaps and Topological segmentation : a unified approach to finite topologies in the plane