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Dennis Eschweiler
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A multi-organ nucleus segmentation challenge
N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ...
IEEE transactions on medical imaging 39 (5), 1380-1391, 2019
3602019
CNN-based preprocessing to optimize watershed-based cell segmentation in 3D confocal microscopy images
D Eschweiler, TV Spina, RC Choudhury, E Meyerowitz, A Cunha, ...
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
682019
Using positional information to provide context for biological image analysis with MorphoGraphX 2.0
S Strauss, A Runions, B Lane, D Eschweiler, N Bajpai, N Trozzi, ...
Elife 11, e72601, 2022
362022
Segmenting renal whole slide images virtually without training data
M Gadermayr, D Eschweiler, A Jeevanesan, BM Klinkhammer, P Boor, ...
Computers in biology and medicine 90, 88-97, 2017
272017
Robust 3D cell segmentation: extending the view of cellpose
D Eschweiler, RS Smith, J Stegmaier
2022 IEEE International Conference on Image Processing (ICIP), 191-195, 2022
182022
Gradual domain adaptation for segmenting whole slide images showing pathological variability
M Gadermayr, D Eschweiler, BM Klinkhammer, P Boor, D Merhof
Image and Signal Processing: 8th International Conference, ICISP 2018 …, 2018
142018
3D fluorescence microscopy data synthesis for segmentation and benchmarking
D Eschweiler, M Rethwisch, M Jarchow, S Koppers, J Stegmaier
Plos one 16 (12), e0260509, 2021
122021
Towards annotation-free segmentation of fluorescently labeled cell membranes in confocal microscopy images
D Eschweiler, T Klose, FN Müller-Fouarge, M Kopaczka, J Stegmaier
Simulation and Synthesis in Medical Imaging: 4th International Workshop …, 2019
122019
Spherical harmonics for shape-constrained 3D cell segmentation
D Eschweiler, M Rethwisch, S Koppers, J Stegmaier
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 792-796, 2021
112021
CellCycleGAN: Spatiotemporal microscopy image synthesis of cell populations using statistical shape models and conditional GANs
D Bähr, D Eschweiler, A Bhattacharyya, D Moreno-Andrés, W Antonin, ...
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 15-19, 2021
92021
Comparison of deep learning-based techniques for organ segmentation in abdominal CT images
V Groza, T Brosch, D Eschweiler, H Schulz, S Renisch, H Nickisch
92018
Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M
N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ...
Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Anibal Pedraza, Maria …, 2020
82020
MorphoGraphX 2.0: providing context for biological image analysis with positional information
S Strauss, A Runions, B Lane, D Eschweiler, N Bajpai, N Trozzi, ...
BioRxiv, 2021.08. 12.456042, 2021
72021
Semi-and self-supervised multi-view fusion of 3D microscopy images using generative adversarial networks
C Yang, D Eschweiler, J Stegmaier
International Workshop on Machine Learning for Medical Image Reconstruction …, 2021
62021
Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets
D Eschweiler, R Yilmaz, M Baumann, I Laube, R Roy, A Jose, D Brückner, ...
PLOS Computational Biology 20 (2), e1011890, 2024
52024
End-to-end classification of cell-cycle stages with center-cell focus tracker using recurrent neural networks
A Jose, R Roy, D Eschweiler, I Laube, R Azad, D Moreno-Andrés, ...
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
32023
Definition and Quantification of Three-Dimensional Imaging Targets to Phenotype Pre-Eclampsia Subtypes: An Exploratory Study
S Hermans, J Pilon, D Eschweiler, J Stegmaier, CAH Severens–Rijvers, ...
International Journal of Molecular Sciences 24 (4), 3240, 2023
12023
Probabilistic Image Diversification to Improve Segmentation in 3D Microscopy Image Data
D Eschweiler, J Schock, J Stegmaier
International Workshop on Simulation and Synthesis in Medical Imaging, 24-33, 2022
12022
Algorithms used for the Cell Segmentation Benchmark Competition at ISBI 2019 by RWTH-GE
D Eschweiler, J Stegmaier
arXiv preprint arXiv:1904.06890, 2019
12019
Combined learning for similar tasks with domain-switching networks
D Bug, D Eschweiler, Q Liu, J Schock, L Weninger, F Feuerhake, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
12019
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