Abstract: In unsupervised medical image registration, encoder-decoder architectures are widely used to predict dense, full-resolution displacement fields from paired images. Despite their popularity, ...

The company will allow users of its Gemini chatbot to create images of people with artificial intelligence after disabling the feature six months ago. By Nico Grant Reporting from San Francisco In ...

Image registration is one of the important parts in medical image processing and intelligent analysis. The accuracy of image registration will greatly affect the subsequent image processing and ...

Abstract: The procedure of merging data from various sources into a single reference system/ reference frame is known as ‘Image Registration’. The data can be images taken from the sensors, multiple ...

Add a description, image, and links to the medical-image-registration topic page so that developers can more easily learn about it.

The code in this repository is from my master thesis. This project aims to automatically segment carotid from 3D MR brain image, and use the segmented carotid to extract Time-Activity-Curve from PET ...

Groupwise image registration tackles biases that can potentially arise from inappropriate template selection. It typically involves simultaneous registration of a cohort of images to a common space ...