Dennis Eschweiler

Research Scientist

 +49 241 80 22917
 +49 241 80 22200

Curriculum Vitae


06/2018 – now Research Scientist, Insitute of Imaging & Computer Vision, RWTH Aachen University
04/2015 – 05/2018 M.Sc. Electrical Engineering, Information Technology & Computer Engineering, RWTH Aachen University
12/2017 – 04/2018 Internship at Philips Research, Hamburg
10/2011 – 03/2015 B.Sc. Electrical Engineering, Information Technology & Computer Engineering, RWTH Aachen University

Journal Publications



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


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

Conference Publications



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)


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)


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)


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)


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)


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)

Abstract Publications


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
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)