The alignment of images through deformable image registration is vital to clinical
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …

With rapid advancements in remote sensing image registration algorithms, comprehensive
imaging applications are no longer limited to single-modal remote sensing images. Instead …

Affine registration is indispensable in a comprehensive medical image registration pipeline.
However, only a few studies focus on fast and robust affine registration algorithms. Most of …

We propose a Dual-stream Pyramid Registration Network (referred as Dual-PRNet) for
unsupervised 3D brain image registration. Unlike recent CNN-based registration …

Feature matching, which refers to establishing the correspondence of regions between two
images (usually voxel features), is a crucial prerequisite of feature-based registration. For …

Volumetric registration of brain MRI is routinely used in human neuroimaging, eg, to align
different MRI modalities, to measure change in longitudinal analysis, to map an individual to …

Robot target recognition is a critical and fundamental machine vision task. In this paper,
InVision, a robot target recognition approach is proposed using deep federated learning …

Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …

Deformable medical image registration can achieve fast and accurate alignment between
two images, enabling medical professionals to analyze images of different subjects in a …

Annotation-efficient deep learning refers to methods and practices that yield high-
performance deep learning models without the use of massive carefully labeled training …