We give a methodology-oriented perspective on directional image analysis and rotation-
invariant processing. We review the state of the art in the field and make connections with …

Deformable image registration is a fundamental task in medical image processing. Among
its most important applications, one may cite: 1) multi-modality fusion, where information …

Tissue clearing methods enable the imaging of biological specimens without sectioning.
However, reliable and scalable analysis of large imaging datasets in three dimensions …

The cerebral vasculature is a dense network of arteries, capillaries, and veins. Quantifying
variations of the vascular organization across individuals, brain regions, or disease models …

Pharmacological treatment of gliomas and other brain-infiltrating tumors remains
challenging due to limited delivery of most therapeutics across the blood–brain barrier …

Study of monogenic mitochondrial cardiomyopathies may yield insights into mitochondrial
roles in cardiac development and disease. Here, we combined patient-derived and …

Various retinal vessel segmentation methods based on convolutional neural networks were
proposed recently, and Dense U-net as a new semantic segmentation network was …

Angiogenesis is the generation of mature vascular networks from pre-existing vessels.
Angiogenesis is crucial during the organism'development, for wound healing and for the …

High-efficiency lung nodule detection dramatically contributes to the risk assessment of lung
cancer. It is a significant and challenging task to quickly locate the exact positions of lung …

Motivation: Advances in techniques to sparsely label neurons unlock the potential to
reconstruct connectivity from 3D image stacks acquired by light microscopy. We present an …