Fluorescence microscopy is a key driver of discoveries in the life sciences, with observable
phenomena being limited by the optics of the microscope, the chemistry of the fluorophores …

Deep learning methods have enabled a fast, accurate and automated approach for retinal
layer segmentation in posterior segment OCT images. Due to the success of semantic …

Purpose: While millions of individuals show early age-related macular degeneration (AMD)
signs, yet have excellent vision, the risk of progression to advanced AMD with legal …

Automatic whole-brain extraction from magnetic resonance images (MRI), also known as
skull strip**, is a key component in most neuroimage pipelines. As the first element in the …

Combinatorial graph cut algorithms have been successfully applied to a wide range of
problems in vision and graphics. This paper focusses on possibly the simplest application of …

Optical coherence tomography angiography (OCTA) enables detailed visualization of the
vascular system. OCTA is of great significance for the diagnosis and treatment of many …

Image segmentation is a fundamental problem in computer vision. Despite many years of
research, general purpose image segmentation is still a very challenging task because …

With the introduction of spectral-domain optical coherence tomography (OCT), much larger
image datasets are routinely acquired compared to what was possible using the previous …