Abstract: In this paper, a nonrigid coregistration algorithm based on a viscous fluid model is proposed that has been optimized for diffusion tensor images (DTI), in which image correspondence is ...

THE WEEK’S MOST POPULAR SONGS RANKED BY ALTERNATIVE RADIO AIRPLAY DETECTIONS, AS MEASURED BY MEDIABASE AND PROVIDED BY LUMINATE. STATIONS ARE ELECTRONICALLY MONITORED 24 HOURS A DAY, 7 DAYS A ...

This page will be updated and the fixes will be in a forthcoming release. Warping and reorienting a diffusion tensor image is a two-stage process, because we must account for changes in orientation as ...

This repository will soon contain the code for our paper "ClimSat - A Diffusion Autoencoder Model for Climate-conditional Satellite Image Editing" published in Science of Remote Sensing in 2025.

Abstract: Tensor completion aims to recover original data from its degraded observations and has shown promise in processing incomplete hyperspectral images (HSIs). Many previous studies have ...

Diffusion tensor imaging is a magnetic resonance imaging ... The technique is commonly used to image neuronal fibre tracts.

Though these techniques provide explicit control over light sources, recovering accurate 3D models from single images remains a problem that frequently results in unsatisfactory results. Modern ...

This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily ...