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)

FAMoS: A Flexible and dynamic Algorithm for Model Selection to analyse complex systems dynamics. - Michael Gabel; Tobias Hohl; Andrea Imle; Oliver T. Fackler; Frederik Graw (PLoS Comput. Biol., 2019)

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)

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)

VisuStatR: visualizing motility and morphology statistics on images in R. - Christoph Harmel; Samy Sid Ahmed; Robin Koch; Jana Tünnermann; Tania Distler; Andrea Imle; Luca Giorgetti; Emanuel Bahn; Oliver T. Fackler; Frederik Graw (Bioinform., 2022)