The following publications are possibly variants of this publication:
- Deep Learning Method for Probabilistic Particle Detection and Tracking in Fluorescence Microscopy ImagesRoman Spilger, Ji Young Lee, Minh Tu Pham, Ralf Bartenschlager, Karl Rohr. isbi 2023: 1-4 [doi]
- Deep probabilistic tracking of particles in fluorescence microscopy imagesRoman Spilger, Ji Young Lee, Vadim O. Chagin, Lothar Schermelleh, M. Cristina Cardoso, Ralf Bartenschlager, Karl Rohr. mia, 72:102128, 2021. [doi]
- Deep Learning For Particle Detection And Tracking In Fluorescence Microscopy ImagesChristian Ritter, Roman Spilger, J. Y. Lee, Ralf Bartenschlager, Karl Rohr. isbi 2021: 873-876 [doi]
- Probabilistic tracking of virus particles in fluorescence microscopy imagesWilliam J. Godinez, Marko Lampe, Stefan Wörz, Barbara Müller, Roland Eils, Karl Rohr. isbi 2008: 272-275 [doi]
- Deep Particle Tracker: Automatic Tracking of Particles in Fluorescence Microscopy Images Using Deep LearningRoman Spilger, Thomas Wollmann, Yu Qiang, Andrea Imle, Ji Young Lee, Barbara Müller, Oliver T. Fackler, Ralf Bartenschlager, Karl Rohr. miccai 2018: 128-136 [doi]
- Tracking multiple particles in fluorescence microscopy images via probabilistic data associationWilliam J. Godinez, Marko Lampe, Roland Eils, Barbara Müller, Karl Rohr. isbi 2011: 1925-1928 [doi]
- Probabilistic Tracking of Virus Particles in Fluorescence Microscopy Image SequencesWilliam J. Godinez, Marko Lampe, Stefan Wörz, Barbara Müller, Roland Eils, Karl Rohr. bildmed 2008: 448-452 [doi]
- Detnet: Deep Neural Network For Particle Detection In Fluorescence Microscopy ImagesThomas Wollmann, Christian Ritter, J. N. Dohrke, Ji Young Lee, Ralf Bartenschlager, Karl Rohr. isbi 2019: 517-520 [doi]
- Two-filter probabilistic data association for tracking of virus particles in fluorescence microscopy imagesChristian Ritter, Andrea Imle, Ji Young Lee, Barbara Müller, Oliver T. Fackler, Ralf Bartenschlager, Karl Rohr. isbi 2018: 957-960 [doi]
- Tracking Multiple Particles in Fluorescence Time-Lapse Microscopy Images via Probabilistic Data AssociationWilliam J. Godinez, Karl Rohr. tmi, 34(2):415-432, 2015. [doi]
- Deterministic and probabilistic approaches for tracking virus particles in time-lapse fluorescence microscopy image sequencesWilliam J. Godinez, Marko Lampe, Stefan Wörz, Barbara Müller, Roland Eils, Karl Rohr. mia, 13(2):325-342, 2009. [doi]