Andreas Gahlmann

According to our database¹, Andreas Gahlmann authored at least 8 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

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Bibliography

2024

DeepSeeded: Volumetric segmentation of dense cell populations with a cascade of deep neural networks in bacterial biofilm applications.

[BibT_eX]

[DOI]

Expert Syst. Appl., March, 2024

Deep Temporal Sequence Classification and Mathematical Modeling for Cell Tracking in Dense 3D Microscopy Videos of Bacterial Biofilms.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Diffusionnet: An Efficient Framework to Classify Single-Molecule Images with Latent Entropy Minimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

3D GAN image synthesis and dataset quality assessment for bacterial biofilm.

[BibT_eX]

[DOI]

Bioinform., 2022

Realistic-Shape Bacterial Biofilm Simulator for Deep Learning-Based 3D Single-Cell Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Graph-Theoretic Post-Processing of Segmentation With Application to Dense Biofilms.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

2019

Lcuts: Linear Clustering of Bacteria Using Recursive Graph Cuts.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2017

Bact-3D: A level set segmentation approach for dense multi-layered 3D bacterial biofilms.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Andreas Gahlmann

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