Results 161 to 170 of about 65,529 (267)

R2GDN: RepGhost based residual dense network for image super-resolution. [PDF]

open access: yesPLoS One
Li T   +7 more
europepmc   +1 more source

Acceleration of slice encoding for metal artifact correction at 0.55 T using hexagonal sampling

open access: yesMagnetic Resonance in Medicine, Volume 95, Issue 2, Page 1098-1109, February 2026.
Abstract Purpose To evaluate a hexagonal sampling approach for accelerated slice encoding for metal artifact correction (SEMAC) at 0.55 T. Contemporary mid‐field systems (0.1 T–1.0 T) show tremendous potential for imaging near metal implants. However, the limited parallel‐imaging options necessitate alternative methods for scan time reduction.
Bahadır Alp Barlas   +4 more
wiley   +1 more source

Advances in high‐resolution photoacoustic imaging techniques for cellular visualization

open access: yesVIEW, Volume 7, Issue 1, February 2026.
Photoacoustic imaging has gained increasing attention for its potential in high‐resolution microscopy, particularly in the context of cellular visualization. This review highlights recent advancements in high‐resolution photoacoustic imaging techniques aimed at visualizing cellular structures, particularly explore key system configurations, imaging ...
Hyunjun Kye   +6 more
wiley   +1 more source

Skillful Short‐Term Forecasting of Clouds With a Cascade Diffusion Model

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Accurate short‐term forecasting of clouds from satellite imagery is a foundational technology for downstream meteorological disaster mitigation and aviation safety enhancement systems, particularly in developing countries and remote areas lacking ground‐based observation infrastructure.
Haoming Chen   +9 more
wiley   +1 more source

A Novel Deep Learning Approach for TEC Map Completion Using Image Equation‐Guided Loss

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract This study introduces the Image Equation Mechanism‐Completion Generative Adversarial Network (IEM‐CGAN), a groundbreaking deep learning framework that revolutionizes the reconstruction of large‐scale global ionospheric total electron content (TEC) maps.
Qingfeng Li   +6 more
wiley   +1 more source

SGMI-SSIM-Jubiläumstagung 2007

open access: yesSwiss Medical Informatics, 2007
openaire   +1 more source

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