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Martin Genzel

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IEEE Transactions on Pattern Analysis and Machine Intelligence|February 4, 2022
Solving Inverse Problems With Deep Neural Networks - Robustness Included?Martin Genzel, Jan Macdonald, Maximilian Marz
Journal of Applied Crystallography|August 14, 2020
<i>EDDIDAT</i>: a graphical user interface for the analysis of energy-dispersive diffraction dataDaniel Apel, Martin Genzel, Matthias Meixner, et al.
BMC Bioinformatics|March 10, 2017
Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry dataTim O F Conrad, Martin Genzel, Nada Cvetkovic, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|February 4, 2022
Solving Inverse Problems With Deep Neural Networks - Robustness Included?Martin Genzel, Jan Macdonald, Maximilian Marz
Journal of Applied Crystallography|August 14, 2020
<i>EDDIDAT</i>: a graphical user interface for the analysis of energy-dispersive diffraction dataDaniel Apel, Martin Genzel, Matthias Meixner, et al.
BMC Bioinformatics|March 10, 2017
Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry dataTim O F Conrad, Martin Genzel, Nada Cvetkovic, et al.
Pageof 1