Frontiers

High-resolution deep learning-reconstructed T2-weighted imaging for the improvement of image quality and extraprostatic extension assessment in prostate MRI

Purpose: This study evaluates the impact of high-resolution T2-weighted imaging (T2 HR) combined with deep learning image reconstruction (DLR) on image quality, lesion delineation, and extraprostatic ...
Sports Illustrated

Fantasy Football Week 7 Deep-Sleepers: Luke McCaffrey Tops 5 High-Upside Options

Fantasy football sleepers win the week for many teams. It is not easily predicted, but it does happen on a weekly basis. In Week 6, we saw: Jacoby Brissett (QB3), Demario Douglas (WR11), Kameron ...
IEEE

Deep Learning for High-Resolution Remote Sensing Change Detection: Task Taxonomy, Datasets, and Perspectives

Abstract: Change detection (CD) aims to reveal the dynamic evolution of the Earth's surface by analyzing multi-temporal remote sensing imagery, exhibiting significant application value in critical ...
IEEE

A Large-Scale Aerial and Satellite Image Dataset for Deep Learning-Based Image Super-Resolution of Very High-Resolution Remote Sensing Imagery

Abstract: Recently, deep learning-based image super-resolution (SR) has emerged as an effective and cost-efficient solution for obtaining images that surpass the physical limitation of sensors.
Frontiers

Efficient high-resolution microscopic ghost imaging via sequenced speckle illumination and deep learning from a single noisy image

This study presents a novel approach for achieving high-quality and large-scale microscopic ghost imaging by integrating deep learning-based denoising with computational ghost imaging techniques. By ...
EurekAlert!

Super-resolution microscopy goes to single-shot learning

eDL-cSIM: An AI-driven super-resolution imaging method that captures high-quality live-cell dynamics in a single exposure, enhancing speed, resolution, and environmental robustness for advanced ...
ahajournals.org

Quantitative Ischemic Lesions of Portable Low–Field Strength MRI Using Deep Learning–Based Super-Resolution

Deep learning–based synthetic super-resolution magnetic resonance imaging (SynthMRI) may improve the quantitative lesion performance of portable low–field strength magnetic resonance imaging (LF-MRI).