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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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