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Tim W Nattkemper

Showing results (21-30 of 61) with videos related to

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Frontiers in Bioengineering and Biotechnology|March 16, 2018
A Novel Methodology for Characterizing Cell Subpopulations in Automated Time-lapse MicroscopyGeorges Hattab, Veit Wiesmann, Anke Becker, et al.
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 7, 2007
Reagent-free automatic cell viability determination using neural networks based machine vision and dark-field microscopy in Saccharomyces cerevisiaeNing Wei, Erwin Flaschel, Axel Saalbach, et al.
BMC Bioinformatics|October 22, 2008
Peak intensity prediction in MALDI-TOF mass spectrometry: a machine learning study to support quantitative proteomicsWiebke Timm, Alexandra Scherbart, Sebastian Böcker, et al.
Scientific Reports|September 4, 2020
Deep learning-based diatom taxonomy on virtual slidesMichael Kloster, Daniel Langenkämper, Martin Zurowietz, et al.
Bioinformatics (Oxford, England)|March 7, 2012
WHIDE--a web tool for visual data mining colocation patterns in multivariate bioimagesJan Kölling, Daniel Langenkämper, Sylvie Abouna, et al.
Biomedical Engineering Online|October 21, 2004
Image fusion for dynamic contrast enhanced magnetic resonance imagingThorsten Twellmann, Axel Saalbach, Olaf Gerstung, et al.
Engineering Applications of Artificial Intelligence|March 4, 2009
Model-Free Visualization of Suspicious Lesions in Breast MRI Based on Supervised and Unsupervised LearningThorsten Twellmann, Anke Meyer-Baese, Oliver Lange, et al.
Plos One|November 17, 2018
MAIA-A machine learning assisted image annotation method for environmental monitoring and explorationMartin Zurowietz, Daniel Langenkämper, Brett Hosking, et al.
BMC Bioinformatics|February 13, 2009
TACOA: taxonomic classification of environmental genomic fragments using a kernelized nearest neighbor approachNaryttza N Diaz, Lutz Krause, Alexander Goesmann, et al.
Plos One|February 24, 2023
Improving deep learning-based segmentation of diatoms in gigapixel-sized virtual slides by object-based tile positioning and object integrity constraintMichael Kloster, Andrea M Burfeid-Castellanos, Daniel Langenkämper, et al.
Pageof 7

Showing results (21-30 of 61) with videos related to

Sort By:
Pageof 7
Frontiers in Bioengineering and Biotechnology|March 16, 2018
A Novel Methodology for Characterizing Cell Subpopulations in Automated Time-lapse MicroscopyGeorges Hattab, Veit Wiesmann, Anke Becker, et al.
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 7, 2007
Reagent-free automatic cell viability determination using neural networks based machine vision and dark-field microscopy in Saccharomyces cerevisiaeNing Wei, Erwin Flaschel, Axel Saalbach, et al.
BMC Bioinformatics|October 22, 2008
Peak intensity prediction in MALDI-TOF mass spectrometry: a machine learning study to support quantitative proteomicsWiebke Timm, Alexandra Scherbart, Sebastian Böcker, et al.
Scientific Reports|September 4, 2020
Deep learning-based diatom taxonomy on virtual slidesMichael Kloster, Daniel Langenkämper, Martin Zurowietz, et al.
Bioinformatics (Oxford, England)|March 7, 2012
WHIDE--a web tool for visual data mining colocation patterns in multivariate bioimagesJan Kölling, Daniel Langenkämper, Sylvie Abouna, et al.
Biomedical Engineering Online|October 21, 2004
Image fusion for dynamic contrast enhanced magnetic resonance imagingThorsten Twellmann, Axel Saalbach, Olaf Gerstung, et al.
Engineering Applications of Artificial Intelligence|March 4, 2009
Model-Free Visualization of Suspicious Lesions in Breast MRI Based on Supervised and Unsupervised LearningThorsten Twellmann, Anke Meyer-Baese, Oliver Lange, et al.
Plos One|November 17, 2018
MAIA-A machine learning assisted image annotation method for environmental monitoring and explorationMartin Zurowietz, Daniel Langenkämper, Brett Hosking, et al.
BMC Bioinformatics|February 13, 2009
TACOA: taxonomic classification of environmental genomic fragments using a kernelized nearest neighbor approachNaryttza N Diaz, Lutz Krause, Alexander Goesmann, et al.
Plos One|February 24, 2023
Improving deep learning-based segmentation of diatoms in gigapixel-sized virtual slides by object-based tile positioning and object integrity constraintMichael Kloster, Andrea M Burfeid-Castellanos, Daniel Langenkämper, et al.
Pageof 7