8 citations · 8 across the 3 of their papers we have counts for
4 papers
Cost-efficient segmentation of electron microscopy images using active learning
Joris Roels, Yvan Saeys
Over the last decade, electron microscopy has improved up to a point that generating high quality gigavoxel sized datasets only requires a few hours. Automated image analysis, part…
Bayesian Deconvolution of Scanning Electron Microscopy Images Using Point-spread Function Estimation and Non-local Regularization
Joris Roels, Jan Aelterman, Jonas De Vylder +3
Microscopy is one of the most essential imaging techniques in life sciences. High-quality images are required in order to solve (potentially life-saving) biomedical research proble…
Convolutional Neural Network Pruning to Accelerate Membrane Segmentation in Electron Microscopy
Joris Roels, Jonas De Vylder, Jan Aelterman +2
Biological membranes are one of the most basic structures and regions of interest in cell biology. In the study of membranes, segment extraction is a well-known and difficult probl…
Domain Adaptive Segmentation in Volume Electron Microscopy Imaging
Joris Roels, Julian Hennies, Yvan Saeys +2
In the last years, automated segmentation has become a necessary tool for volume electron microscopy (EM) imaging. So far, the best performing techniques have been largely based on…