Abstract Accurate representation of raindrop size distribution (DSD) is crucial for understanding precipitation microphysics and improving quantitative precipitation forecasting. Conventional methods in numerical models often prescribe the DSD shape parameter as a constant or derive it from empirical relationships based solely on disdrometer ...
Limin Lin +6 more
wiley +1 more source
Vision-Radar Semantic Communication for Target-Oriented Visual Sensing: Image Reconstruction and Dynamic State Estimation. [PDF]
Xu H, Wang Y, Zhao R, Liu Q.
europepmc +1 more source
To address the trade‐off between depth discriminability and texture preservation in PSF‐engineered imaging, a polarization‐multiplexed metalens is developed to decouple depth estimation from extended‐depth‐of‐field texture acquisition. The DH‐derived depth guides depth‐matched Airy PSF selection for non‐blind texture recovery, while computational ...
Xinyi Tian +12 more
wiley +1 more source
DMSH-Net: Depth-aware multi-scale hybrid vision network for image dehazing. [PDF]
Zhao C, Li J, Wang Y, Guo Z, Li X.
europepmc +1 more source
A hybrid deep learning framework for automated treatment planning in cervical cancer radiotherapy
Abstract Background Radiation therapy treatment planning is a time‐consuming trial‐and‐error process, and the plan quality is heavily dependent on planners' experiences, resulting in a strong demand for automated planning methods that can rapidly generate uniformly high‐quality plans. Purpose This study aimed to develop a hybrid automated deep learning‐
Haiyan Jiang +6 more
wiley +1 more source
CT image generation from ultrashort echo time MRI for dosimetric assessment in lung cancer radiotherapy. [PDF]
Zheng K +9 more
europepmc +1 more source
Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley +1 more source
FLMMIF: privacy-preserving federated multi-modal medical image fusion. [PDF]
Meng L, Ren S, Wang J, Che Y.
europepmc +1 more source
Gap‐Free Information Transfer in 4D‐STEM via Fusion of Complementary Scattering Channels
Fused Full‐Field STEM (FF‐STEM) is introduced as a 4D‐STEM imaging modality that combines direct ptychography with tilt‐corrected dark‐field reconstruction in a single acquisition. Fourier‐space fusion using Wiener‐type spectral weighting closes the low‐frequency contrast gap inherent to bright‐field methods, delivering gap‐free, dose‐efficient, near ...
Shengbo You +15 more
wiley +1 more source
MuralsNet: Dunhuang Decorative Mural Image Inpainting Based on BiFormer and GLM Fusion. [PDF]
Ren H, Yue W, Zhang C, Su Z.
europepmc +1 more source

