Andreas Gahlmann

According to our database, Andreas Gahlmann authored at least 7 papers between 2017 and 2024.

Collaborative distances:

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

2024

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

Tanjin Taher Toma, Yibo Wang, Andreas Gahlmann, Scott T. Acton

Expert Syst. Appl., March, 2024

2023

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

Soumee Guha, Olivia de Cuba, Andreas Gahlmann, Scott T. Acton

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

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

Jie Wang, Nazia Tabassum, Tanjin Taher Toma, Yibo Wang, Andreas Gahlmann, Scott T. Acton

Bioinform., 2022

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

Tanjin Taher Toma, Yuexuan Wu, Jie Wang, Anuj Srivastava, Andreas Gahlmann, Scott T. Acton

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

2021

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

Jie Wang, Mingxing Zhang, Ji Zhang, Yibo Wang, Andreas Gahlmann, Scott T. Acton

IEEE Trans. Image Process., 2021

2019

Lcuts: Linear Clustering of Bacteria Using Recursive Graph Cuts.

Jie Wang, Tamal Batabyal, M. Zhang, J. Zhang, Arslan Aziz, Andreas Gahlmann, Scott T. Acton

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.

Jie Wang, Rituparna Sarkar, Arslan Aziz, Andrea Vaccari, Andreas Gahlmann, Scott T. Acton

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