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Andreas Gahlmann
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2020 – today
- 2024
- [j3]Tanjin Taher Toma, Yibo Wang, Andreas Gahlmann, Scott T. Acton:
DeepSeeded: Volumetric segmentation of dense cell populations with a cascade of deep neural networks in bacterial biofilm applications. Expert Syst. Appl. 238(Part E): 122094 (2024) - [i1]Tanjin Taher Toma, Yibo Wang, Andreas Gahlmann, Scott T. Acton:
Deep Temporal Sequence Classification and Mathematical Modeling for Cell Tracking in Dense 3D Microscopy Videos of Bacterial Biofilms. CoRR abs/2406.19574 (2024) - 2023
- [c4]Soumee Guha, Olivia de Cuba, Andreas Gahlmann, Scott T. Acton:
Diffusionnet: An Efficient Framework to Classify Single-Molecule Images with Latent Entropy Minimization. ICASSP 2023: 1-5 - 2022
- [j2]Jie Wang, Nazia Tabassum, Tanjin Taher Toma, Yibo Wang, Andreas Gahlmann, Scott T. Acton:
3D GAN image synthesis and dataset quality assessment for bacterial biofilm. Bioinform. 38(19): 4598-4604 (2022) - [c3]Tanjin Taher Toma, Yuexuan Wu, Jie Wang, Anuj Srivastava, Andreas Gahlmann, Scott T. Acton:
Realistic-Shape Bacterial Biofilm Simulator for Deep Learning-Based 3D Single-Cell Segmentation. ISBI 2022: 1-5 - 2021
- [j1]Jie Wang, Mingxing Zhang, Ji Zhang, Yibo Wang, Andreas Gahlmann, Scott T. Acton:
Graph-Theoretic Post-Processing of Segmentation With Application to Dense Biofilms. IEEE Trans. Image Process. 30: 8580-8594 (2021)
2010 – 2019
- 2019
- [c2]Jie Wang, Tamal Batabyal, Mingxing Zhang, Ji Zhang, Arslan Aziz, Andreas Gahlmann, Scott T. Acton:
Lcuts: Linear Clustering of Bacteria Using Recursive Graph Cuts. ICIP 2019: 1575-1579 - 2017
- [c1]Jie Wang, Rituparna Sarkar, Arslan Aziz, Andrea Vaccari, Andreas Gahlmann, Scott T. Acton:
Bact-3D: A level set segmentation approach for dense multi-layered 3D bacterial biofilms. ICIP 2017: 330-334
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