Detection and Quantification of Cytoskeletal Granules. - Dennis Eschweiler; Jakob Unger; Kraisorn Chaisaowong; Mugdha Sawant; Reinhard Windoffer; Rudolf E. Leube; Dorit Merhof (Bildverarbeitung für die Medizin, 2016)

A Feasibility Study on Automated Protein Aggregate Characterization Utilizing a Hybrid Classification Model. - Dennis Eschweiler; Michael Gadermayr; Jakob Unger; Markus Nippold; Björn Falkenburger; Dorit Merhof (VCBM/MedViz, 2016)

Segmenting renal whole slide images virtually without training data. - Michael Gadermayr; Dennis Eschweiler; Abiramjee Jeevanesan; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof (Comput. Biol. Medicine, 2017)

Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability. - Michael Gadermayr; Dennis Eschweiler; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof (ICISP, 2018)

CNN-Based Preprocessing to Optimize Watershed-Based Cell Segmentation in 3D Confocal Microscopy Images. - Dennis Eschweiler; Thiago Vallin Spina; Rohan C. Choudhury; Elliot Meyerowitz; Alexandre Cunha; Johannes Stegmaier (ISBI, 2019)

Combined Learning for Similar Tasks with Domain-Switching Networks. - Daniel Bug; Dennis Eschweiler; Qianyu Liu; Justus Schock; Leon Weninger; Friedrich Feuerhake; Julia Schüler; Johannes Stegmaier; Dorit Merhof (MICCAI (5), 2019)

Towards Annotation-Free Segmentation of Fluorescently Labeled Cell Membranes in Confocal Microscopy Images. - Dennis Eschweiler; Tim Klose; Florian Nicolas Müller-Fouarge; Marcin Kopaczka; Johannes Stegmaier (SASHIMI@MICCAI, 2019)

Algorithms used for the Cell Segmentation Benchmark Competition at ISBI 2019 by RWTH-GE. - Dennis Eschweiler; Johannes Stegmaier (CoRR, 2019)

A Multi-Organ Nucleus Segmentation Challenge. - Neeraj Kumar 002; Ruchika Verma; Deepak Anand; Yanning Zhou 001; Omer Fahri Onder; Efstratios Tsougenis; Hao Chen 011; Pheng-Ann Heng; Jiahui Li 005; Zhiqiang Hu; Yunzhi Wang; Navid Alemi Koohbanani; et al. (IEEE Trans. Medical Imaging, 2020)

Cellcyclegan: Spatiotemporal Microscopy Image Synthesis Of Cell Populations Using Statistical Shape Models And Conditional Gans. - Dennis Bähr; Dennis Eschweiler; Anuk Bhattacharyya; Daniel Moreno-Andrés; Wolfram Antonin; Johannes Stegmaier (ISBI, 2021)

Spherical Harmonics For Shape-Constrained 3d Cell Segmentation. - Dennis Eschweiler; Malte Rethwisch; Simon Koppers; Johannes Stegmaier (ISBI, 2021)

Semi- and Self-supervised Multi-view Fusion of 3D Microscopy Images Using Generative Adversarial Networks. - Canyu Yang; Dennis Eschweiler; Johannes Stegmaier (MLMIR@MICCAI, 2021)

Robust 3D Cell Segmentation: Extending the View of Cellpose. - Dennis Eschweiler; Johannes Stegmaier (CoRR, 2021)

3D fluorescence microscopy data synthesis for segmentation and benchmarking. - Dennis Eschweiler; Malte Rethwisch; Mareike Jarchow; Simon Koppers; Johannes Stegmaier (CoRR, 2021)

Robust 3d Cell Segmentation: Extending The View Of Cellpose. - Dennis Eschweiler; Richard S. Smith; Johannes Stegmaier (ICIP, 2022)

Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks. - Abin Jose; Qi Mei; Dennis Eschweiler; Ina Laube; Johannes Stegmaier (ICIP, 2022)

Probabilistic Image Diversification to Improve Segmentation in 3D Microscopy Image Data. - Dennis Eschweiler; Justus Schock; Johannes Stegmaier (SASHIMI@MICCAI, 2022)

End-to-End Classification of Cell-Cycle Stages with Center-Cell Focus Tracker Using Recurrent Neural Networks. - Abin Jose; Rijo Roy; Dennis Eschweiler; Ina Laube; Reza Azad; Daniel Moreno-Andrés; Johannes Stegmaier (ICASSP, 2023)

Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets. - Dennis Eschweiler; Johannes Stegmaier (CoRR, 2023)

Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation. - Yuli Wu 001; Weidong He; Dennis Eschweiler; Ningxin Dou; Zixin Fan; Shengli Mi; Peter Walter; Johannes Stegmaier (ISBI, 2024)

Annotated Biomedical Video Generation Using Denoising Diffusion Probabilistic Models and Flow Fields. - Rüveyda Yilmaz; Dennis Eschweiler; Johannes Stegmaier (SASHIMI@MICCAI, 2024)

Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets. - Dennis Eschweiler; Rüveyda Yilmaz; Matisse Baumann; Ina Laube; Rijo Roy; Abin Jose; Daniel Brückner; Johannes Stegmaier (PLoS Comput. Biol., 2024)