euHCVdb: the European hepatitis C virus database. - Christophe Combet; Nicolas B. Garnier; Céline Charavay; Delphine Grando; Daniel Crisan; Julien Lopez; Alexandre Dehne-Garcia; Christophe Geourjon; Emmanuel Bettler; Chantal Hulo; Philippe Le Mercier; Ralf Bartenschlager; et al. (Nucleic Acids Res., 2007)

Automated Analysis of siRNA Screens of Virus Infected Cells Based on Immunofluorescence Microscopy. - Petr Matula; Anil Kumar 006; Ilka Wörz; Nathalie Harder; Holger Erfle; Ralf Bartenschlager; Roland Eils; Karl Rohr (Bildverarbeitung für die Medizin, 2008)

Reconstructing signaling pathways from RNAi data using probabilistic Boolean threshold networks. - Lars Kaderali; Eva Dazert; Ulf Zeuge; Michael Frese; Ralf Bartenschlager (Bioinform., 2009)

Detecting host factors involved in virus infection by observing the clustering of infected cells in siRNA screening images. - Apichat Suratanee; Ilka Rebhan; Petr Matula; Anil Kumar 006; Lars Kaderali; Karl Rohr; Ralf Bartenschlager; Roland Eils; Rainer König (Bioinform., 2010)

Normalizing for individual cell population context in the analysis of high-content cellular screens. - Bettina Knapp; Ilka Rebhan; Anil Kumar 006; Petr Matula; Narsis Aftab Kiani; Marco Binder; Holger Erfle; Karl Rohr; Roland Eils; Ralf Bartenschlager; Lars Kaderali (BMC Bioinform., 2011)

Colocalization analysis and particle tracking in multi-channel fluorescence microscopy images. - Yu Qiang; Ji Young Lee; Ralf Bartenschlager; Karl Rohr (ISBI, 2017)

Two-filter probabilistic data association for tracking of virus particles in fluorescence microscopy images. - Christian Ritter; Andrea Imle; Ji Young Lee; Barbara Müller; Oliver T. Fackler; Ralf Bartenschlager; Karl Rohr (ISBI, 2018)

Deep Particle Tracker: Automatic Tracking of Particles in Fluorescence Microscopy Images Using Deep Learning. - Roman Spilger; Thomas Wollmann; Yu Qiang; Andrea Imle; Ji Young Lee; Barbara Müller; Oliver T. Fackler; Ralf Bartenschlager; Karl Rohr (DLMIA/ML-CDS@MICCAI, 2018)

Detnet: Deep Neural Network For Particle Detection In Fluorescence Microscopy Images. - Thomas Wollmann; Christian Ritter; Jan-Niklas Dohrke; Ji Young Lee; Ralf Bartenschlager; Karl Rohr (ISBI, 2019)

Hyperparameter optimization for image analysis: application to prostate tissue images and live cell data of virus-infected cells. - Christian Ritter; Thomas Wollmann; Patrick Bernhard; Manuel Gunkel; Delia M. Braun; Ji Young Lee; Jan Meiners; Ronald Simon; Guido Sauter; Holger Erfle; Karsten Rippe; Ralf Bartenschlager; et al. (Int. J. Comput. Assist. Radiol. Surg., 2019)

Deep Learning Particle Detection for Probabilistic Tracking in Fluorescence Microscopy Images. - Christian Ritter; Thomas Wollmann; Ji Young Lee; Ralf Bartenschlager; Karl Rohr (ISBI, 2020)

Tracking of Particles in Fluorescence Microscopy Images Using a Spatial Distance Model for Brownian Motion. - Roman Spilger; J. Hellgoth; Ji Young Lee; S. Hänselmann; Dirk-Peter Herten; Ralf Bartenschlager; Karl Rohr (ISBI, 2020)

Host factor prioritization for pan-viral genetic perturbation screens using random intercept models and network propagation. - Simon Dirmeier; Christopher Dächert; Martijn van Hemert; Ali Tas; Natacha S. Ogando; Frank J. M. van Kuppeveld; Ralf Bartenschlager; Lars Kaderali; Marco Binder; Niko Beerenwinkel (PLoS Comput. Biol., 2020)

A Recurrent Neural Network for Particle Tracking in Microscopy Images Using Future Information, Track Hypotheses, and Multiple Detections. - Roman Spilger; Andrea Imle; Ji Young Lee; Barbara Müller; Oliver T. Fackler; Ralf Bartenschlager; Karl Rohr (IEEE Trans. Image Process., 2020)

Deep Learning For Particle Detection And Tracking In Fluorescence Microscopy Images. - Christian Ritter; Roman Spilger; Ji Young Lee; Ralf Bartenschlager; Karl Rohr (ISBI, 2021)

Data fusion and smoothing for probabilistic tracking of viral structures in fluorescence microscopy images. - Christian Ritter; Thomas Wollmann; Ji Young Lee; Andrea Imle; Barbara Müller; Oliver T. Fackler; Ralf Bartenschlager; Karl Rohr (Medical Image Anal., 2021)

Deep probabilistic tracking of particles in fluorescence microscopy images. - Roman Spilger; Ji Young Lee; Vadim O. Chagin; Lothar Schermelleh; M. Cristina Cardoso; Ralf Bartenschlager; Karl Rohr (Medical Image Anal., 2021)

Deep Neural Network for Combined Particle Tracking and Colocalization Analysis in Two-Channel Microscopy Images. - Roman Spilger; Ji Young Lee; Ralf Bartenschlager; Karl Rohr (ISBI, 2022)

Stochastic dynamics of Type-I interferon responses. - Benjamin D. Maier; Luis U. Aguilera; Sven Sahle; Pascal Mutz; Priyata Kalra; Christopher Dächert; Ralf Bartenschlager; Marco Binder; Ursula Kummer (PLoS Comput. Biol., 2022)

Deep Learning Method for Probabilistic Particle Detection and Tracking in Fluorescence Microscopy Images. - Roman Spilger; Ji Young Lee; Minh Tu Pham; Ralf Bartenschlager; Karl Rohr (ISBI, 2023)

Multi-Channel Colocalization Analysis and Visualization of Viral Proteins in Fluorescence Microscopy Images. - Christian Ritter; Roman Thielemann; Ji Young Lee; Minh Tu Pham; Ralf Bartenschlager; Karl Rohr (IEEE Access, 2023)

Mathematical modeling of plus-strand RNA virus replication to identify broad-spectrum antiviral treatment strategies. - Carolin Zitzmann; Christopher Dächert; Bianca Schmid; Hilde van der Schaar; Martijn van Hemert; Alan S. Perelson; Frank J. M. van Kuppeveld; Ralf Bartenschlager; Marco Binder; Lars Kaderali (PLoS Comput. Biol., 2023)

Multi-detector fusion and Bayesian smoothing for tracking viral and chromatin structures. - Christian Ritter; Ji Young Lee; M.-T. Pham; Maruthi Kumar Pabba; M. Cristina Cardoso; Ralf Bartenschlager; Karl Rohr (Medical Image Anal., 2024)