Johannes Stegmaier
Orcid: 0000-0003-4072-3759
According to our database1,
Johannes Stegmaier
authored at least 49 papers
between 2014 and 2024.
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Bibliography
2024
Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets.
PLoS Comput. Biol., February, 2024
Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields.
CoRR, 2024
CoRR, 2024
Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time.
CoRR, 2024
2023
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation.
CoRR, 2023
Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets.
CoRR, 2023
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Simulation and Synthesis in Medical Imaging, 2023
Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
End-to-End Classification of Cell-Cycle Stages with Center-Cell Focus Tracker Using Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023
A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Weakly-supervised Temporal Segmentation of Cell-cycle Stages with Center-cell Focus using Recurrent Neural Networks.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
2022
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis.
CoRR, 2022
Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation.
CoRR, 2022
Probabilistic Image Diversification to Improve Segmentation in 3D Microscopy Image Data.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
CoRR, 2021
Semi- and Self-supervised Multi-view Fusion of 3D Microscopy Images Using Generative Adversarial Networks.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021
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.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images.
Bioinform., 2020
Towards Automatic Embryo Staging in 3D+t Microscopy Images Using Convolutional Neural Networks and PointNets.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2020
Semi-Automatic Generation Of Tight Binary Masks And Non-Convex Isosurfaces For Quantitative Analysis Of 3d Biological Samples.
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
Algorithms used for the Cell Segmentation Benchmark Competition at ISBI 2019 by RWTH-GE.
CoRR, 2019
Autom., 2019
Towards Annotation-Free Segmentation of Fluorescently Labeled Cell Membranes in Confocal Microscopy Images.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019
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.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos.
PLoS Comput. Biol., 2018
CoRR, 2018
Cell segmentation in 3D confocal images using supervoxel merge-forests with CNN-based hypothesis selection.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
SEGMENT3D: A web-based application for collaborative segmentation of 3D images used in the shoot apical meristem.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty.
PhD thesis, 2017
2016
Fuzzy-based Propagation of Prior Knowledge to Improve Large-Scale Image Analysis Pipelines.
CoRR, 2016
New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty.
CoRR, 2016
Challenges of Integrating A Priori Information Efficiently in the Discovery of Spatio-Temporal Objects in Large Databases.
CoRR, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2014
Automated prior knowledge-based quantification of neuronal patterns in the spinal cord of zebrafish.
Bioinform., 2014