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Christian Laforsch

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2023
[c5]
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  dblp key:
  - conf/ijcnn/WohlschlagerLDLVL23
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Maximilian Wohlschläger, Nina Leiter, Maximilian Dietlmeier, Martin G. J. Löder, Martin Versen, Christian Laforsch:
Comparison of Two Classification Methods Trained with FD-FLIM Data to Identify and Distinguish Plastics from Environmental Materials. IJCNN 2023: 1-9
[c4]
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Nina Leiter, Maximilian Dietlmeier, Maximilian Wohlschläger, Martin G. J. Löder, Martin Versen, Christian Laforsch:
Development of a Neural Network for Automatic Classification of Post-Consumer Wood Using Rapid-FLIM. SAS 2023: 1-6
[c3]
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Nina Leiter, Maximilian Wohlschläger, Maximilian Dietlmeier, Martin Versen, Martin G. J. Löder, Christian Laforsch:
Comparative Analysis of Fluorescence Properties of Post-Consumer Wood Using FD-FLIM. SAS 2023: 1-6
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Maximilian Wohlschläger, Yamna Khan, Nina Leiter, Martin Versen, Martin G. J. Löder, Christian Laforsch:
Combining BLOB-Detection and MLP to Detect and Identify Plastics in an Environmental Matrix. SAS 2023: 1-5
2022
[c1]
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  - conf/sas2/ManiyattuGLWVL22
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Georgekutty Jose Maniyattu, Eldho Geegy, Nina Leiter, Maximilian Wohlschläger, Martin Versen, Christian Laforsch:
Development of a neural network to identify plastics using Fluorescence Lifetime Imaging Microscopy. SAS 2022: 1-6

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