9 citations · 20 across the 14 of their papers we have counts for
7 papers · 1 filter
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
Simon Graham, Quoc Dang Vu, Mostafa Jahanifar +86
Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovatio…
CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings
Simon Baeuerle, Jonas Barth, Elton Renato Tavares de Menezes +2
Electronic control units (ECUs) are essential for many automobile components, e.g. engine, anti-lock braking system (ABS), steering and airbags. For some products, the 3D pose of e…
Cell Segmentation and Tracking using CNN-Based Distance Predictions and a Graph-Based Matching Strategy
Tim Scherr, Katharina Löffler, Moritz Böhland +1
The accurate segmentation and tracking of cells in microscopy image sequences is an important task in biomedical research, e.g., for studying the development of tissues, organs or…
Towards DeepSpray: Using Convolutional Neural Network to post-process Shadowgraphy Images of Liquid Atomization
Geoffroy Chaussonnet, Christian Lieber, Yan Yikang +6
This technical report investigates the potential of Convolutional Neural Networks to post-process images from primary atomization. Three tasks are investigated. First, the detectio…
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…
3D Cell Nuclei Segmentation with Balanced Graph Partitioning
Julian Arz, Peter Sanders, Johannes Stegmaier +1
Cell nuclei segmentation is one of the most important tasks in the analysis of biomedical images. With ever-growing sizes and amounts of three-dimensional images to be processed, t…