Christian Laforsch

According to our database, Christian Laforsch authored at least 5 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

Combining BLOB-Detection and MLP to Detect and Identify Plastics in an Environmental Matrix.

Maximilian Wohlschläger, Yamna Khan, Nina Leiter, Martin Versen, Martin G. J. Löder, Christian Laforsch

Proceedings of the IEEE Sensors Applications Symposium, 2023

Comparative Analysis of Fluorescence Properties of Post-Consumer Wood Using FD-FLIM.

Nina Leiter, Maximilian Wohlschläger, Maximilian Dietlmeier, Martin Versen, Martin G. J. Löder, Christian Laforsch

Proceedings of the IEEE Sensors Applications Symposium, 2023

Development of a Neural Network for Automatic Classification of Post-Consumer Wood Using Rapid-FLIM.

Nina Leiter, Maximilian Dietlmeier, Maximilian Wohlschläger, Martin G. J. Löder, Martin Versen, Christian Laforsch

Proceedings of the IEEE Sensors Applications Symposium, 2023

Comparison of Two Classification Methods Trained with FD-FLIM Data to Identify and Distinguish Plastics from Environmental Materials.

Maximilian Wohlschläger, Nina Leiter, Maximilian Dietlmeier, Martin G. J. Löder, Martin Versen, Christian Laforsch

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Development of a neural network to identify plastics using Fluorescence Lifetime Imaging Microscopy.

Georgekutty Jose Maniyattu, Eldho Geegy, Nina Leiter, Maximilian Wohlschläger, Martin Versen, Christian Laforsch

Proceedings of the IEEE Sensors Applications Symposium, 2022