Deep Neural Network for 3D Particle Detection in 3D Fluorescence Microscopy Images via Density Map Regression - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Roman Spilger, Vadim O. Chagin, C. S. Bold, Lothar Schermelleh, U. C. Müller, M. Cristina Cardoso, Karl Rohr. Deep Neural Network for 3D Particle Detection in 3D Fluorescence Microscopy Images via Density Map Regression. In 19th IEEE International Symposium on Biomedical Imaging, ISBI 2022, Kolkata, India, March 28-31, 2022. pages 1-4, IEEE, 2022. [doi]

The following publications are possibly variants of this publication:

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]

Deep Learning Particle Detection for Probabilistic Tracking in Fluorescence Microscopy ImagesChristian Ritter, Thomas Wollmann, Ji Young Lee, Ralf Bartenschlager, Karl Rohr. isbi 2020: 977-980 [doi]

Deep Learning Methods for Detection and Tracking of Particles in Fluorescence Microscopy ImagesRoman Spilger. PhD thesis, Heidelberg University, Germany, 2023. [doi]

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 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]

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]

runs on WebDSL