With the recent success of computer vision and deep learning, remarkable progress has
been achieved on automatic personal recognition using vein biometrics. However, collecting …

Visualization of cerebral blood vessels is vital for stroke diagnosis and surgical planning. A
suitable modality for the visualization of blood vessels is very important for the analysis of …

Significance: Optical and acoustic imaging techniques enable noninvasive visualisation of
structural and functional properties of tissue. The quantification of measurements, however …

Disruption of retinal vasculature is linked to various diseases, including diabetic retinopathy
and macular degeneration, leading to vision loss. We present here a novel algorithmic …

Mesoscopic photoacoustic imaging (PAI) enables non-invasive visualisation of tumour
vasculature. The visual or semi-quantitative 2D measurements typically applied to …

We present a data-driven generative framework for synthesizing blood vessel 3D geometry.
This is a challenging task due to the complexity of vascular systems, which are highly …

Anatomical trees play a central role in clinical diagnosis and treatment planning. However,
accurately representing anatomical trees is challenging due to their varying and complex …

Background: Current methods for identifying blood vessels in digital images typically involve
training neural networks on pixel-wise annotated data. However, manually outlining whole …

One of the greatest challenges in fabricating artificial tissues and organs is the incorporation
of vascular networks to support the biological requirements of the embedded cells …

Breast cancer is the most common cancer worldwide. The standard imaging modality for
breast cancer screening is X-ray mammography, which suffers from low sensitivities in …