Curriculum Vitae
| Jun 2018 – Jan 2024 |
Wissenschaftlicher Mitarbeiter, Lehrstuhl für Bildgebung und Bildverarbeitung, RWTH Aachen |
| Apr 2015 – Mai 2018 | M.Sc. Elektrotechnik, Informationstechnik & Technische Informatik, RWTH Aachen |
| Dez 2017 – Apr 2018 | Praktikum bei Philips Research, Hamburg |
| Okt 2011 – Mar 2015 | B.Sc. Elektrotechnik, Informationstechnik & Technische Informatik, RWTH Aachen |
Forschungsgebiet
BildsyntheseVeröffentlichungen
Buchkapitel
2022
D. Eschweiler, I. Laube and J. Stegmaier
Spatiotemporal Image Generation for Embryomics Applications
In: Biomedical Image Synthesis and Simulation: Methods and Applications
Spatiotemporal Image Generation for Embryomics Applications
In: Biomedical Image Synthesis and Simulation: Methods and Applications
Journal-Veröffentlichungen
2023
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)
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 and M. Majda R. Tofanelli
Using Positional Information to Provide Context for Biological Image Analysis with MorphoGraphX 2.0
In: eLife 11
Using Positional Information to Provide Context for Biological Image Analysis with MorphoGraphX 2.0
In: eLife 11
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
A Multi-organ Nucleus Segmentation Challenge
In: IEEE Transactions on Medical Imaging
Konferenz-Veröffentlichungen
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)
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)
Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks
In: International Conference on Image Processing (ICIP)
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)
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)
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)
Combined Learning for Similar Tasks with Domain-Switching Networks
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
Abstract-Veröffentlichungen
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
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)
Comparison of Deep Learning-based Techniques for Organ Segmentation in Abdominal CT Images
In: Medical Imaging with Deep Learning (MIDL)