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Dennis Eschweiler
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2020 – today
- 2024
- [j3]Dennis Eschweiler
, Rüveyda Yilmaz
Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets. PLoS Comput. Biol. 20(2) (2024) - [c15]Yuli Wu, Weidong He, Dennis Eschweiler, Ningxin Dou, Zixin Fan, Shengli Mi, Peter Walter, Johannes Stegmaier:
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation. ISBI 2024: 1-5 - [c14]Rüveyda Yilmaz, Dennis Eschweiler, Johannes Stegmaier:
Annotated Biomedical Video Generation Using Denoising Diffusion Probabilistic Models and Flow Fields. SASHIMI@MICCAI 2024: 197-207 - [i10]Rüveyda Yilmaz, Dennis Eschweiler, Johannes Stegmaier:
Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields. CoRR abs/2403.17808 (2024) - 2023
- [c13]Abin Jose, Rijo Roy, Dennis Eschweiler, Ina Laube, Reza Azad, Daniel Moreno-Andrés, Johannes Stegmaier:
End-to-End Classification of Cell-Cycle Stages with Center-Cell Focus Tracker Using Recurrent Neural Networks. ICASSP 2023: 1-5 - [i9]Dennis Eschweiler, Johannes Stegmaier:
Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets. CoRR abs/2301.10227 (2023) - [i8]Yuli Wu, Weidong He, Dennis Eschweiler, Ningxin Dou, Zixin Fan, Shengli Mi, Peter Walter, Johannes Stegmaier:
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation. CoRR abs/2311.05479 (2023) - 2022
- [c12]Dennis Eschweiler, Richard S. Smith, Johannes Stegmaier:
Robust 3d Cell Segmentation: Extending The View Of Cellpose. ICIP 2022: 191-195 - [c11]Abin Jose, Qi Mei, Dennis Eschweiler, Ina Laube, Johannes Stegmaier:
Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks. ICIP 2022: 3641-3645 - [c10]Dennis Eschweiler, Justus Schock, Johannes Stegmaier:
Probabilistic Image Diversification to Improve Segmentation in 3D Microscopy Image Data. SASHIMI@MICCAI 2022: 24-33 - 2021
- [c9]Dennis Bähr, Dennis Eschweiler, Anuk Bhattacharyya, Daniel Moreno-Andrés
Cellcyclegan: Spatiotemporal Microscopy Image Synthesis Of Cell Populations Using Statistical Shape Models And Conditional Gans. ISBI 2021: 15-19 - [c8]Dennis Eschweiler, Malte Rethwisch
Spherical Harmonics For Shape-Constrained 3d Cell Segmentation. ISBI 2021: 792-796 - [c7]Canyu Yang, Dennis Eschweiler
Semi- and Self-supervised Multi-view Fusion of 3D Microscopy Images Using Generative Adversarial Networks. MLMIR@MICCAI 2021: 130-139 - [i7]Dennis Eschweiler, Johannes Stegmaier
Robust 3D Cell Segmentation: Extending the View of Cellpose. CoRR abs/2105.00794 (2021) - [i6]Dennis Eschweiler, Malte Rethwisch, Mareike Jarchow, Simon Koppers, Johannes Stegmaier:
3D fluorescence microscopy data synthesis for segmentation and benchmarking. CoRR abs/2107.10180 (2021) - [i5]Canyu Yang, Dennis Eschweiler, Johannes Stegmaier:
Semi- and Self-Supervised Multi-View Fusion of 3D Microscopy Images using Generative Adversarial Networks. CoRR abs/2108.02743 (2021) - 2020
- [j2]Neeraj Kumar
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [i4]Dennis Bähr, Dennis Eschweiler, Anuk Bhattacharyya, Daniel Moreno-Andrés, Wolfram Antonin, Johannes Stegmaier:
CellCycleGAN: Spatiotemporal Microscopy Image Synthesis of Cell Populations using Statistical Shape Models and Conditional GANs. CoRR abs/2010.12011 (2020) - [i3]Dennis Eschweiler, Malte Rethwisch, Simon Koppers, Johannes Stegmaier:
Spherical Harmonics for Shape-Constrained 3D Cell Segmentation. CoRR abs/2010.12369 (2020)
2010 – 2019
- 2019
- [c6]Dennis Eschweiler, Thiago Vallin Spina, Rohan C. Choudhury, Elliot Meyerowitz, Alexandre Cunha, Johannes Stegmaier
CNN-Based Preprocessing to Optimize Watershed-Based Cell Segmentation in 3D Confocal Microscopy Images. ISBI 2019: 223-227 - [c5]Dennis Eschweiler, Tim Klose, Florian Nicolas Müller-Fouarge, Marcin Kopaczka, Johannes Stegmaier
Towards Annotation-Free Segmentation of Fluorescently Labeled Cell Membranes in Confocal Microscopy Images. SASHIMI@MICCAI 2019: 81-89 - [c4]Daniel Bug, Dennis Eschweiler, Qianyu Liu, Justus Schock, Leon Weninger, Friedrich Feuerhake, Julia Schüler, Johannes Stegmaier
Combined Learning for Similar Tasks with Domain-Switching Networks. MICCAI (5) 2019: 565-572 - [i2]Dennis Eschweiler, Johannes Stegmaier:
Algorithms used for the Cell Segmentation Benchmark Competition at ISBI 2019 by RWTH-GE. CoRR abs/1904.06890 (2019) - 2018
- [c3]Michael Gadermayr
Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability. ICISP 2018: 461-469 - [i1]Dennis Eschweiler, Thiago Vallin Spina, Rohan C. Choudhury, Elliot Meyerowitz, Alexandre Cunha, Johannes Stegmaier:
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images. CoRR abs/1810.06933 (2018) - 2017
- [j1]Michael Gadermayr
Segmenting renal whole slide images virtually without training data. Comput. Biol. Medicine 90: 88-97 (2017) - 2016
- [c2]Dennis Eschweiler, Jakob Unger, Kraisorn Chaisaowong, Mugdha Sawant, Reinhard Windoffer
Detection and Quantification of Cytoskeletal Granules. Bildverarbeitung für die Medizin 2016: 260-265 - [c1]Dennis Eschweiler, Michael Gadermayr, Jakob Unger, Markus Nippold, Björn Falkenburger, Dorit Merhof:
A Feasibility Study on Automated Protein Aggregate Characterization Utilizing a Hybrid Classification Model. VCBM/MedViz 2016: 105-109
Coauthor Index
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