68 citations · 147 across the 7 of their papers we have counts for
7 papers
Improving segmentation of retinal arteries and veins using cardiac signal in doppler holograms
Marius Dubosc, Yann Fischer, Zacharie Auray +4
Doppler holography is an emerging retinal imaging technique that captures the dynamic behavior of blood flow with high temporal resolution, enabling quantitative assessment of reti…
Local Intensity Order Transformation for Robust Curvilinear Object Segmentation
Tianyi Shi, Nicolas Boutry, Yongchao Xu +1
Segmentation of curvilinear structures is important in many applications, such as retinal blood vessel segmentation for early detection of vessel diseases and pavement crack segmen…
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging
Zhaohan Xiong, Qing Xia, Zhiqiang Hu +41
Segmentation of cardiac images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) widely used for visualizing diseased cardiac structures, is a crucial fir…
Hierarchical image simplification and segmentation based on Mumford-Shah-salient level line selection
Yongchao Xu, Thierry Géraud, Laurent Najman
Hierarchies, such as the tree of shapes, are popular representations for image simplification and segmentation thanks to their multiscale structures. Selecting meaningful level lin…
A fair comparison of many max-tree computation algorithms (Extended version of the paper submitted to ISMM 2013
Edwin Carlinet, Thierry Géraud
With the development of connected filters for the last decade, many algorithms have been proposed to compute the max-tree. Max-tree allows to compute the most advanced connected op…
Writing Reusable Digital Geometry Algorithms in a Generic Image Processing Framework
Roland Levillain, Thierry Géraud, Laurent Najman
Digital Geometry software should reflect the generality of the underlying mathe- matics: mapping the latter to the former requires genericity. By designing generic solutions, one c…