R2GDN: RepGhost based residual dense network for image super-resolution. [PDF]
Li T +7 more
europepmc +1 more source
Acceleration of slice encoding for metal artifact correction at 0.55 T using hexagonal sampling
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
High Spectrum Efficiency and High Security Radio-Over-Fiber Systems with Compressive-Sensing-Based Chaotic Encryption. [PDF]
Wang Z +5 more
europepmc +1 more source
Advances in high‐resolution photoacoustic imaging techniques for cellular visualization
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
CHARMS: A CNN-Transformer Hybrid with Attention Regularization for MRI Super-Resolution. [PDF]
Li X, Sun H, Li TQ.
europepmc +1 more source
Skillful Short‐Term Forecasting of Clouds With a Cascade Diffusion Model
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
Automated image inpainting for historical artifact restoration using hybridisation of transfer learning with deep generative models. [PDF]
Swathi B, Rao DBJ.
europepmc +1 more source
A Novel Deep Learning Approach for TEC Map Completion Using Image Equation‐Guided Loss
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
Current-Aware Temporal Fusion with Input-Adaptive Heterogeneous Mixture-of-Experts for Video Deblurring. [PDF]
Zhang Y, Zhao Z, Namiki A.
europepmc +1 more source

