Bact-3D: A level set segmentation approach for dense multi-layered 3D bacterial biofilms. - Jie Wang 061; Rituparna Sarkar; Arslan Aziz; Andrea Vaccari; Andreas Gahlmann; Scott T. Acton (ICIP, 2017)

Lcuts: Linear Clustering of Bacteria Using Recursive Graph Cuts. - Jie Wang 061; Tamal Batabyal; Mingxing Zhang; Ji Zhang; Arslan Aziz; Andreas Gahlmann; Scott T. Acton (ICIP, 2019)

Graph-Theoretic Post-Processing of Segmentation With Application to Dense Biofilms. - Jie Wang 061; Mingxing Zhang; Ji Zhang; Yibo Wang 013; Andreas Gahlmann; Scott T. Acton (IEEE Trans. Image Process., 2021)

Realistic-Shape Bacterial Biofilm Simulator for Deep Learning-Based 3D Single-Cell Segmentation. - Tanjin Taher Toma; Yuexuan Wu; Jie Wang 061; Anuj Srivastava; Andreas Gahlmann; Scott T. Acton (ISBI, 2022)

3D GAN image synthesis and dataset quality assessment for bacterial biofilm. - Jie Wang 061; Nazia Tabassum; Tanjin Taher Toma; Yibo Wang 013; Andreas Gahlmann; Scott T. Acton (Bioinform., 2022)

Diffusionnet: An Efficient Framework to Classify Single-Molecule Images with Latent Entropy Minimization. - Soumee Guha; Olivia de Cuba; Andreas Gahlmann; Scott T. Acton (ICASSP, 2023)

Deep Temporal Sequence Classification and Mathematical Modeling for Cell Tracking in Dense 3D Microscopy Videos of Bacterial Biofilms. - Tanjin Taher Toma; Yibo Wang 013; Andreas Gahlmann; Scott T. Acton (CoRR, 2024)

DeepSeeded: Volumetric segmentation of dense cell populations with a cascade of deep neural networks in bacterial biofilm applications. - Tanjin Taher Toma; Yibo Wang 013; Andreas Gahlmann; Scott T. Acton (Expert Syst. Appl., 2024)