Dennis Eschweiler

Curriculum Vitae

Jun 2018 – Jan 2024	Research Scientist, Chair of Imaging and Computer Vision, RWTH Aachen
Apr 2015 –  Mai 2018	M.Sc. Electrical Engineering, Information Technology & Computer Engineering, RWTH Aachen
Dez 2017 – Apr 2018	Internship at Philips Research, Hamburg
Okt 2011 – Mar 2015	B.Sc. Electrical Engineering, Information Technology & Computer Engineering, RWTH Aachen

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Research Field

Image Synthesis

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Publications

 

Book Chapter

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  2022inbook

  D. Eschweiler, I. Laube and J. Stegmaier

  Spatiotemporal Image Generation for Embryomics Applications

  In: Biomedical Image Synthesis and Simulation: Methods and Applications, S. (in press)

  BibTeX

Journal publications

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  2024article

  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), S. e1011890

  BibTeXPDF

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  2023article

  Sammy Hermans, Jacob Pilon, Dennis Eschweiler, Johannes Stegmaier, Carmen AH Severens-Rijvers, Salwan Al-Nasiry, Marc van Zandvoort and 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), S. 3240

  BibTeX

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  2022article

  S. Strauss, A. Runions, B. Lane, D. Eschweiler, N. Bajpai, N. Trozzi, A.-L. Routier-Kierzkowska, S. Yoshida, S. R. da Silveira, A. Vijayan and 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 R. Tofanelli

  Using Positional Information to Provide Context for Biological Image Analysis with MorphoGraphX 2.0

  In: eLife 11, S. e72601

  BibTeX

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  2021article

  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), S. 1-21, Public Library of Science

  BibTeXPDF

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  2019article

  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, IEEE

  BibTeX

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  2017article

  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, S. 88--97, Elsevier

  BibTeXPDF

Conference publications

• 2024

  2024inproceedings

  Ruveyda Yilmaz, Dennis Eschweiler and Johannes Stegmaier

  Annotated Biomedical Video Generation Using Denoising Diffusion Probabilistic Models and Flow Fields

  In: Simulation and Synthesis in Medical Imaging

  BibTeXPDF

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  2024inproceedings

  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)

  BibTeXPDF

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  2023inproceedings

  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), S. 1--5

  BibTeX

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  2022inproceedings

  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), S. 3641--3645

  BibTeX

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  2022inproceedings

  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)

  BibTeXPDF

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  2022inproceedings

  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)

  BibTeXPDF

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  2021inproceedings

  C. Yang, D. Eschweiler and 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), S. (in press)

  BibTeXPDF

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  2021inproceedings

  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)

  BibTeXPDF

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  2021inproceedings

  D. Eschweiler, A. Bhattacharyya, D. Moreno-Andrés, W. Antonin D. Bähr 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)

  BibTeXPDF

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  2019inproceedings

  Dennis Eschweiler, Tim Klose, Florian Nicolas Müller-Fouarge, Marcin Kopaczka and 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), S. 81--89, Springer

  BibTeXPDF

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  2019inproceedings

  Thiago V. Spina, Rohan C. Choudhury, Elliot Meyerowitz, Alexandre Cunha, Johannes Stegmaier Dennis Eschweiler

  CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images

  In: IEEE International Symposium on Biomedical Imaging (ISBI)

  BibTeXPDF

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  2019inproceedings

  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), S. (accepted)

  BibTeXPDF

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  2018inproceedings

  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), S. 461-469

  BibTeXPDF

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  2016inproceedings

  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), S. 105-109, EuroGraphics

  BibTeXPDF

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  2016inproceedings

  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), S. 260-265, Springer

  BibTeXPDF

Abstract-Veröffentlichungen

 

• 2017

  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

  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)