All Outputs (7)

Interactive GPU Active Contours for Segmenting Inhomogeneous Objects (2017)
Journal Article

We present a segmentation software package primarily targeting medical and biological applications, with a high level of visual feedback and several usability enhancements over existing packages. Specifically, we provide a substantially faster GPU im... Read More about Interactive GPU Active Contours for Segmenting Inhomogeneous Objects.

Threonine 150 phosphorylation of keratin 5 is linked to EBS and regulates filament assembly, cell cycle and oxidative stress response (2017)
Journal Article

A characteristic feature of the skin blistering disease epidermolysis bullosa simplex is keratin filament (KF) network collapse caused by aggregation of the basal epidermal keratin type II (KtyII) K5 and its type I partner keratin 14 (K14). Here, we... Read More about Threonine 150 phosphorylation of keratin 5 is linked to EBS and regulates filament assembly, cell cycle and oxidative stress response.

Evaluating the quality of graph embeddings via topological feature reconstruction (2017)
Presentation / Conference Contribution

Multi-scale Segmentation and Surface Fitting for Measuring 3D Macular Holes (2017)
Journal Article

Macular holes are blinding conditions where a hole develops in the central part of retina, resulting in reduced central vision. The prognosis and treatment options are related to a number of variables including the macular hole size and shape. High-r... Read More about Multi-scale Segmentation and Surface Fitting for Measuring 3D Macular Holes.

Contrast-independent curvilinear structure enhancement in 3D biomedical images (2017)
Presentation / Conference Contribution

A wide range of biomedical applications require detection, quantification and modelling of curvilinear structures in 3D images. Here we propose a 3D contrast-independent approach to enhance curvilinear structures based on the 3D Phase Congruency Tens... Read More about Contrast-independent curvilinear structure enhancement in 3D biomedical images.

Automated analysis of Physarum network structure and dynamics (2017)
Journal Article

We evaluate different ridge-enhancement and segmentation methods to automatically extract the network architecture from time-series of Physarum plasmodia withdrawing from an arena via a single exit. Whilst all methods gave reasonable results, judged... Read More about Automated analysis of Physarum network structure and dynamics.

Avoiding over-detection: towards combined object detection and counting (2017)
Presentation / Conference Contribution

Existing object detection frameworks in the deep learning field generally over-detect objects, and use non-maximum suppression (NMS) to filter out excess detections, leaving one bounding box per object. This works well so long as the ground-truth bou... Read More about Avoiding over-detection: towards combined object detection and counting.