Papers citing 'Cell Segmentation in 3D Confocal Images using Supervoxel Merge-Forests with CNN-based Hypothesis Selection'

Title
Deep Learning Enabled Time-Lapse 3D Cell Analysis Jiaxiang Jiang Amil Khan S.Shailja S. Belteton Michael Goebel D. Szymanski B. S. Manjunath 158 0 0 17 Aug 2022
Spherical Harmonics for Shape-Constrained 3D Cell SegmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2020 Dennis Eschweiler Malte Rethwisch Simon Koppers Johannes Stegmaier 74 9 0 23 Oct 2020
Semi-Automatic Generation of Tight Binary Masks and Non-Convex Isosurfaces for Quantitative Analysis of 3D Biological SamplesInternational Conference on Information Photonics (ICIP), 2020 Sourabh Bhide Ralf Mikut Maria Leptin Johannes Stegmaier 3DV 69 4 0 30 Jan 2020
Accurate Nuclear Segmentation with Center Vector EncodingInformation Processing in Medical Imaging (IPMI), 2019 Jiahui Li Zhiqiang Hu Shuang Yang 72 15 0 09 Jul 2019
Accurate 3D Cell Segmentation using Deep Feature and CRF RefinementInternational Conference on Information Photonics (ICIP), 2019 Jiaxiang Jiang Po-Yu Kao S. Belteton D. Szymanski B. S. Manjunath 3DV 66 15 0 13 Feb 2019
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images Dennis Eschweiler T. V. Spina Rohan Choudhury E. Meyerowitz Alexandre Cunha Johannes Stegmaier 101 52 0 16 Oct 2018
SEGMENT3D: A Web-based Application for Collaborative Segmentation of 3D images used in the Shoot Apical MeristemIEEE International Symposium on Biomedical Imaging (ISBI), 2017 T. V. Spina Johannes Stegmaier A. X. Falcão E. Meyerowitz Alexandre Cunha 85 9 0 26 Oct 2017