2022

D. Eschweiler, I. Laube, J. Stegmaier
Spatiotemporal Image Generation for Embryomics Applications
In: Biomedical Image Synthesis and Simulation: Methods and Applications

2024

Dennis Eschweiler, Rüveyda Yilmaz, Matisse Baumann, Ina Laube, Rijo Roy, Abin Jose, Daniel Brückner and Johannes Stegmaier
Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets
In: PLOS Computational Biology 20 (2)

2023

Sammy Hermans, Jacob Pilon, Dennis Eschweiler, Johannes Stegmaier, Carmen AH Severens-Rijvers, Salwan Al-Nasiry, Marc van Zandvoort, Dimitrios Kapsokalyvas
Definition and Quantification of Three-Dimensional Imaging Targets to Phenotype Pre-Eclampsia Subtypes: An Exploratory Study
In: International Journal of Molecular Sciences 24 (4)

2022

S. Strauss, A. Runions, B. Lane, D. Eschweiler, N. Bajpai, N. Trozzi, A.-L. Routier-Kierzkowska, S. Yoshida, S. R. da Silveira, A. Vijayan, R. Tofanelli, M. Majda, E. Echevin, C. Le Gloanec, H. Bertrand-Rakusova, M. Adibi, K. Schneitz, G. Bassel, D. Kierzkowski, J. Stegmaier, M. Tsiantis, R. S. Smith
Using Positional Information to Provide Context for Biological Image Analysis with MorphoGraphX 2.0
In: eLife 11

2021

Dennis Eschweiler, Malte Rethwisch, Mareike Jarchow, Simon Koppers and Johannes Stegmaier
3D fluorescence microscopy data synthesis for segmentation and benchmarking
In: PLOS ONE 16 (12)

2019

K. Neeraj, V. Ruchika, A. Deepak, Z. Yanning, F. O. Omer, T. Efstratios, C. Hao, A. H. Pheng, L. Jiahui, H. Zhiqiang, [...], D. Eschweiler, J. Stegmaier and others
A Multi-organ Nucleus Segmentation Challenge
In: IEEE Transactions on Medical Imaging

2017

Michael Gadermayr, Dennis Eschweiler, Abiramjee Jeevanesan, Barbara Mara Klinkhammer, Peter Boor and Dorit Merhof
Segmenting Renal Whole Slide Images Virtually Without Training Data
In: Computers in Biology and Medicine 90

2024

Yuli Wu, Weidong He, Dennis Eschweiler, Ningxin Dou, Zixin Fan, Shengli Mi, Peter Walter and Johannes Stegmaier
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation
In: IEEE 21st International Symposium on Biomedical Imaging (ISBI)

2023

Abin Jose, Rijo Roy, Dennis Eschweiler, Ina Laube, Reza Azad, Daniel Moreno-Andres and Johannes Stegmaier
End-to-end classification of cell-cycle stages with center-cell focus tracker using recurrent neural networks
In: International Conference on Acoustics, Speech and Signal Processing (ICASSP)

2022

Abin Jose, Qi Mei, Dennis Eschweiler, Ina Laube and Johannes Stegmaier
Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks
In: International Conference on Image Processing (ICIP)

2022

Dennis Eschweiler, Justus Schock and Johannes Stegmaier
Probabilistic Image Diversification to Improve Segmentation in 3D Microscopy Image Data
In: MICCAI International Workshop on Simulation and Synthesis in Medical Imaging (SASHIMI)

2022

Dennis Eschweiler, Richard S. Smith and Johannes Stegmaier
Robust 3D Cell Segmentation: Extending the View of Cellpose
In: IEEE International Conference in Image Processing (ICIP)

2021

C. Yang, D. Eschweiler, J. Stegmaier
Semi-and Self-Supervised Multi-View Fusion of 3D Microscopy Images using Generative Adversarial Networks
In: MICCAI Workshop on Machine Learning for Medical Image Reconstruction (MLMIR)

2021

Dennis Eschweiler, Malte Rethwisch, Simon Koppers and Johannes Stegmaier
Spherical Harmonics for Shape-Constrained 3D Cell Segmentation
In: IEEE International Symposium on Biomedical Imaging (ISBI)

2021

D. Bähr, D. Eschweiler, A. Bhattacharyya, D. Moreno-Andrés, W. Antonin and J. Stegmaier
CellCycleGAN: Spatiotemporal Microscopy Image Synthesis of Cell Populations using Statistical Shape Models and Conditional GANs
In: IEEE International Symposium on Biomedical Imaging (ISBI)

2019

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
In: MICCAI International Workshop on Simulation and Synthesis in Medical Imaging (SASHIMI)

2019

Dennis Eschweiler, Thiago V. Spina, Rohan C. Choudhury, Elliot Meyerowitz, Alexandre Cunha, Johannes Stegmaier
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images
In: IEEE International Symposium on Biomedical Imaging (ISBI)

2019

Daniel Bug, Dennis Eschweiler, Qianyu Liu, Justus Schock, Leon Weninger, Friedrich Feuerhake, Julia Schüler, Johannes Stegmaier and Dorit Merhof
Combined Learning for Similar Tasks with Domain-Switching Networks
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)

2018

Michael Gadermayr, Dennis Eschweiler, Barbara Mara Klinkhammer, Peter Boor and Dorit Merhof
Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability
In: International Conference on Image and Signal Processing (ICISP)

2016

Dennis Eschweiler, Michael Gadermayr, Jakob Unger, Markus Nippold, Björn Falkenburger and Dorit Merhof
A Feasibility Study on Automated Protein Aggregate Characterization Utilizing a Hybrid Classification Model
In: 6th Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)

2016

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

2017

Dennis Eschweiler, Thomas Stehle, Tom Brosch, Heinrich Schulz
Robustness Analysis of CNNs Against Similarity Transformations in Volumetric CT Data
In: Medical Physics Vol. 45. No. 6

2018

Vladimir Groza, Tom Brosch, Dennis Eschweiler, Heinrich Schulz, Steffen Renisch, Hannes Nickisch
Comparison of Deep Learning-based Techniques for Organ Segmentation in Abdominal CT Images
In: Medical Imaging with Deep Learning (MIDL)