Ralf Bartenschlager
Orcid: 0000-0001-5601-9307
According to our database1,
Ralf Bartenschlager
authored at least 23 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Multi-detector fusion and Bayesian smoothing for tracking viral and chromatin structures.
Medical Image Anal., 2024
2023
Mathematical modeling of plus-strand RNA virus replication to identify broad-spectrum antiviral treatment strategies.
PLoS Comput. Biol., 2023
Multi-Channel Colocalization Analysis and Visualization of Viral Proteins in Fluorescence Microscopy Images.
IEEE Access, 2023
Deep Learning Method for Probabilistic Particle Detection and Tracking in Fluorescence Microscopy Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
PLoS Comput. Biol., October, 2022
Deep Neural Network for Combined Particle Tracking and Colocalization Analysis in Two-Channel Microscopy Images.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Medical Image Anal., 2021
Data fusion and smoothing for probabilistic tracking of viral structures in fluorescence microscopy images.
Medical Image Anal., 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
A Recurrent Neural Network for Particle Tracking in Microscopy Images Using Future Information, Track Hypotheses, and Multiple Detections.
IEEE Trans. Image Process., 2020
Host factor prioritization for pan-viral genetic perturbation screens using random intercept models and network propagation.
PLoS Comput. Biol., 2020
Tracking of Particles in Fluorescence Microscopy Images Using a Spatial Distance Model for Brownian Motion.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Deep Learning Particle Detection for Probabilistic Tracking in Fluorescence Microscopy Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Hyperparameter optimization for image analysis: application to prostate tissue images and live cell data of virus-infected cells.
Int. J. Comput. Assist. Radiol. Surg., 2019
Detnet: Deep Neural Network For Particle Detection In Fluorescence Microscopy Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Deep Particle Tracker: Automatic Tracking of Particles in Fluorescence Microscopy Images Using Deep Learning.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Two-filter probabilistic data association for tracking of virus particles in fluorescence microscopy images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Colocalization analysis and particle tracking in multi-channel fluorescence microscopy images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2011
Normalizing for individual cell population context in the analysis of high-content cellular screens.
BMC Bioinform., 2011
2010
Detecting host factors involved in virus infection by observing the clustering of infected cells in siRNA screening images.
Bioinform., 2010
2009
Reconstructing signaling pathways from RNAi data using probabilistic Boolean threshold networks.
Bioinform., 2009
2008
Automated Analysis of siRNA Screens of Virus Infected Cells Based on Immunofluorescence Microscopy.
Proceedings of the Bildverarbeitung für die Medizin 2008, 2008
2007