Dennis Eschweiler

According to our database, Dennis Eschweiler authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets.

Dennis Eschweiler, Rüveyda Yilmaz, Matisse Baumann, Ina Laube, Rijo Roy, Abin Jose, Daniel Brückner, Johannes Stegmaier

PLoS Comput. Biol., February, 2024

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

Rüveyda Yilmaz, Dennis Eschweiler, Johannes Stegmaier

Proceedings of the Simulation and Synthesis in Medical Imaging, 2024

Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation.

Yuli Wu, Weidong He, Dennis Eschweiler, Ningxin Dou, Zixin Fan, Shengli Mi, Peter Walter, Johannes Stegmaier

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets.

Dennis Eschweiler, Johannes Stegmaier

CoRR, 2023

End-to-End Classification of Cell-Cycle Stages with Center-Cell Focus Tracker Using Recurrent Neural Networks.

Abin Jose, Rijo Roy, Dennis Eschweiler, Ina Laube, Reza Azad, Daniel Moreno-Andrés, Johannes Stegmaier

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Probabilistic Image Diversification to Improve Segmentation in 3D Microscopy Image Data.

Dennis Eschweiler, Justus Schock, Johannes Stegmaier

Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks.

Abin Jose, Qi Mei, Dennis Eschweiler, Ina Laube, Johannes Stegmaier

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Robust 3d Cell Segmentation: Extending The View Of Cellpose.

Dennis Eschweiler, Richard S. Smith, Johannes Stegmaier

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

3D fluorescence microscopy data synthesis for segmentation and benchmarking.

Dennis Eschweiler, Malte Rethwisch, Mareike Jarchow, Simon Koppers, Johannes Stegmaier

CoRR, 2021

Robust 3D Cell Segmentation: Extending the View of Cellpose.

Dennis Eschweiler, Johannes Stegmaier

CoRR, 2021

Semi- and Self-supervised Multi-view Fusion of 3D Microscopy Images Using Generative Adversarial Networks.

Canyu Yang, Dennis Eschweiler, Johannes Stegmaier

Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

Spherical Harmonics For Shape-Constrained 3d Cell Segmentation.

Dennis Eschweiler, Malte Rethwisch, Simon Koppers, Johannes Stegmaier

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Cellcyclegan: Spatiotemporal Microscopy Image Synthesis Of Cell Populations Using Statistical Shape Models And Conditional Gans.

Dennis Bähr, Dennis Eschweiler, Anuk Bhattacharyya, Daniel Moreno-Andrés, Wolfram Antonin, Johannes Stegmaier

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

A Multi-Organ Nucleus Segmentation Challenge.

Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi

IEEE Trans. Medical Imaging, 2020

2019

Algorithms used for the Cell Segmentation Benchmark Competition at ISBI 2019 by RWTH-GE.

Dennis Eschweiler, Johannes Stegmaier

CoRR, 2019

Towards Annotation-Free Segmentation of Fluorescently Labeled Cell Membranes in Confocal Microscopy Images.

Dennis Eschweiler, Tim Klose, Florian Nicolas Müller-Fouarge, Marcin Kopaczka, Johannes Stegmaier

Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Combined Learning for Similar Tasks with Domain-Switching Networks.

Daniel Bug, Dennis Eschweiler, Qianyu Liu, Justus Schock, Leon Weninger, Friedrich Feuerhake, Julia Schüler, Johannes Stegmaier, Dorit Merhof

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability.

Michael Gadermayr, Dennis Eschweiler, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof

Proceedings of the Image and Signal Processing - 8th International Conference, 2018

2017

Segmenting renal whole slide images virtually without training data.

Michael Gadermayr, Dennis Eschweiler, Abiramjee Jeevanesan, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof

Comput. Biol. Medicine, 2017

2016

A Feasibility Study on Automated Protein Aggregate Characterization Utilizing a Hybrid Classification Model.

Dennis Eschweiler, Michael Gadermayr, Jakob Unger, Markus Nippold, Björn Falkenburger, Dorit Merhof

Proceedings of the 6th Eurographics Workshop on Visual Computing for Biology and Medicine, 2016

Detection and Quantification of Cytoskeletal Granules.

Dennis Eschweiler, Jakob Unger, Kraisorn Chaisaowong, Mugdha Sawant, Reinhard Windoffer, Rudolf E. Leube, Dorit Merhof

Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016