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Markus Reischl

Showing results (1-10 of 81) with videos related to

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Zebrafish|September 6, 2022
Automated Zebrafish Phenotype Pattern Recognition: 6 Years Ago, and NowMark Schutera, Luca Rettenberger, Markus Reischl
Plos One|July 21, 2015
A Benchmark Data Set to Evaluate the Illumination Robustness of Image Processing Algorithms for Object Segmentation and ClassificationArif Ul Maula Khan, Ralf Mikut, Markus Reischl
Plos One|February 8, 2022
Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labelsMark Schutera, Luca Rettenberger, Christian Pylatiuk, et al.
Plos One|October 21, 2016
A New Feedback-Based Method for Parameter Adaptation in Image Processing RoutinesArif Ul Maula Khan, Ralf Mikut, Markus Reischl
Biomedizinische Technik. Biomedical Engineering|December 13, 2006
Data mining in medical time seriesRalf Mikut, Markus Reischl, Ole Burmeister, et al.
Iucrj|May 6, 2021
Enhancing deep-learning training for phase identification in powder X-ray diffractogramsJan Schuetzke, Alexander Benedix, Ralf Mikut, et al.
Molecular & Cellular Proteomics : MCP|July 19, 2022
Normics: Proteomic Normalization by Variance and Data-Inherent Correlation StructureFranz F Dressler, Johannes Brägelmann, Markus Reischl, et al.
Journal of Integrative Bioinformatics|August 26, 2022
KaIDA: a modular tool for assisting image annotation in deep learningMarcel P Schilling, Svenja Schmelzer, Lukas Klinger, et al.
Bioinformatics (Oxford, England)|September 30, 2015
XPIWIT--an XML pipeline wrapper for the Insight ToolkitAndreas Bartschat, Eduard Hübner, Markus Reischl, et al.
IEEE Transactions on Bio-Medical Engineering|April 7, 2023
Self-Supervised Learning for Annotation Efficient Biomedical Image SegmentationLuca Rettenberger, Marcel Schilling, Stefan Elser, et al.
Pageof 9

Showing results (1-10 of 81) with videos related to

Sort By:
Pageof 9
Zebrafish|September 6, 2022
Automated Zebrafish Phenotype Pattern Recognition: 6 Years Ago, and NowMark Schutera, Luca Rettenberger, Markus Reischl
Plos One|July 21, 2015
A Benchmark Data Set to Evaluate the Illumination Robustness of Image Processing Algorithms for Object Segmentation and ClassificationArif Ul Maula Khan, Ralf Mikut, Markus Reischl
Plos One|February 8, 2022
Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labelsMark Schutera, Luca Rettenberger, Christian Pylatiuk, et al.
Plos One|October 21, 2016
A New Feedback-Based Method for Parameter Adaptation in Image Processing RoutinesArif Ul Maula Khan, Ralf Mikut, Markus Reischl
Biomedizinische Technik. Biomedical Engineering|December 13, 2006
Data mining in medical time seriesRalf Mikut, Markus Reischl, Ole Burmeister, et al.
Iucrj|May 6, 2021
Enhancing deep-learning training for phase identification in powder X-ray diffractogramsJan Schuetzke, Alexander Benedix, Ralf Mikut, et al.
Molecular & Cellular Proteomics : MCP|July 19, 2022
Normics: Proteomic Normalization by Variance and Data-Inherent Correlation StructureFranz F Dressler, Johannes Brägelmann, Markus Reischl, et al.
Journal of Integrative Bioinformatics|August 26, 2022
KaIDA: a modular tool for assisting image annotation in deep learningMarcel P Schilling, Svenja Schmelzer, Lukas Klinger, et al.
Bioinformatics (Oxford, England)|September 30, 2015
XPIWIT--an XML pipeline wrapper for the Insight ToolkitAndreas Bartschat, Eduard Hübner, Markus Reischl, et al.
IEEE Transactions on Bio-Medical Engineering|April 7, 2023
Self-Supervised Learning for Annotation Efficient Biomedical Image SegmentationLuca Rettenberger, Marcel Schilling, Stefan Elser, et al.
Pageof 9