6 citations · 7 across the 4 of their papers we have counts for
5 papers
J Regularization Improves Imbalanced Multiclass Segmentation
Fidel A. Guerrero Peña, Pedro D. Marrero Fernandez, Paul T. Tarr +3
We propose a new loss formulation to further advance the multiclass segmentation of cluttered cells under weakly supervised conditions. We improve the separation of touching and im…
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images
Dennis Eschweiler, Thiago V. Spina, Rohan C. Choudhury +3
The quantitative analysis of cellular membranes helps understanding developmental processes at the cellular level. Particularly 3D microscopic image data offers valuable insights i…
SEGMENT3D: A Web-based Application for Collaborative Segmentation of 3D images used in the Shoot Apical Meristem
Thiago V. Spina, Johannes Stegmaier, Alexandre X. Falcão +2
The quantitative analysis of 3D confocal microscopy images of the shoot apical meristem helps understanding the growth process of some plants. Cell segmentation in these images is…
Cell Segmentation in 3D Confocal Images using Supervoxel Merge-Forests with CNN-based Hypothesis Selection
Johannes Stegmaier, Thiago V. Spina, Alexandre X. Falcão +4
Automated segmentation approaches are crucial to quantitatively analyze large-scale 3D microscopy images. Particularly in deep tissue regions, automatic methods still fail to provi…
Tessellations and Pattern Formation in Plant Growth and Development
Bruce E Shapiro, Henrik Jonsson, Patrick Sahlin +5
The shoot apical meristem (SAM) is a dome-shaped collection of cells at the apex of growing plants from which all above-ground tissue ultimately derives. In Arabidopsis thaliana (t…