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Deep Learning For Particle Detection And Tracking In Fluorescence Microscopy Images., , , , and . ISBI, page 873-876. IEEE, (2021)Measuring National Culture by Analyzing Business Processes: A Case Study in Germany and India., , , and . Wirtschaftsinformatik, (2017)Multi-detector fusion and Bayesian smoothing for tracking viral and chromatin structures., , , , , , and . Medical Image Anal., (2024)Detnet: Deep Neural Network For Particle Detection In Fluorescence Microscopy Images., , , , , and . ISBI, page 517-520. IEEE, (2019)Deep Learning Particle Detection for Probabilistic Tracking in Fluorescence Microscopy Images., , , , and . ISBI, page 977-980. IEEE, (2020)Optimizing Particle Detection by Colocalization Analysis in Multi-Channel Fluorescence Microscopy Images., , , , , and . ISBI, page 882-885. IEEE, (2020)Using Functional Requirements to Evaluate Process Performance Management Tools., , and . CBI (1), page 151-158. IEEE Computer Society, (2015)Data Fusion and Bayesian Smoothing for Tracking in Fluorescence Microscopy Images. Heidelberg University, Germany, (2022)base-search.net (ftunivheidelb:oai:archiv.ub.uni-heidelberg.de:32273).Multiple Hypothesis Tracking With Integrated Cell Division Detection., , and . ISBI, page 165-168. IEEE, (2021)Hand-Guidance of a Mobile Manipulator Using Online Effective Mass Optimization., and . ICAR, page 192-197. IEEE, (2019)