Results 161 to 170 of about 20,562 (267)

OpenEar: an ultra-affordable, high-throughput, and accurate maize ear phenotyping system. [PDF]

Plant Methods
Fan S, Li G, Bahitwa R, Jia Z, Zhang H, Shao J, Yu Q, Chen X, Qian Y, Xu M, Zhu L, Wang H.   +11 more
europepmc   +1 more source

Deep learning “super resolution” versus iterative reconstruction: Phantom‐based image quality assessment

Journal of Applied Clinical Medical Physics, Volume 27, Issue 5, May 2026.
Abstract Background Deep learning reconstruction (DLR) algorithms have begun replacing iterative reconstruction (IR) in CT. Besides the potential to reduce noise, the application of artificial intelligence can also allow for “super resolution,” allowing traditional CT systems to produce images with improved spatial resolution by training against higher‐
Stephanie M. Leon, Daniella Fabri, Colin J. Schaeffer, Edmond A. Olguin   +3 more
wiley   +1 more source

Hierarchical sparse Bayesian learning with adaptive Laplacian prior for single image super-resolution. [PDF]

Sci Rep
Qi M, Zhou Y, Hu Y, Xie C, Xu S.
europepmc   +1 more source

GloPath: An Entity‐Centric Foundation Model for Glomerular Lesion Assessment and Clinicopathological Insights

Advanced Science, Volume 13, Issue 29, 22 May 2026.
An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He, Jing Li, Tian Guan, Yifei Ma, Zimo Zhao, Yanxia Wang, Hongjing Chen, Yingming Xu, Shuang Ge, Yexing Zhang, Yizhi Wang, Xinrui Chen, Lianghui Zhu, Yiqing Liu, Qingxia Hou, Shuyan Zhao, Xiaoqin Wang, Lili Ma, Peizhen Hu, Qiang Huang, Zihan Wang, Zhiyuan Shen, Junru Cheng, Siqi Zeng, Jiurun Chen, Zhen Song, Chao He, Zhe Wang, Yonghong He   +28 more
wiley   +1 more source

Aerial image quality enhancement via correction of spatially variant aberrations. [PDF]

Sci Rep
Du C, Xiu J, Sun L.
europepmc   +1 more source

Spectroscopic Neutron Imaging for Chemically Sensitive In Situ Electrolyte Characterisation

Advanced Energy and Sustainability Research, Volume 7, Issue 5, May 2026.
Chemically sensitive spectroscopic neutron imaging (SNI) spatially resolves composition‐dependent variations in lithium‐ion battery (LIB) electrolytes. The detection of 10% fluoroethylene carbonate (FEC) at 275 μm length scales demonstrates a novel approach for investigating hydrogen environments, electrolyte heterogeneity, and degradation pathways ...
Robert Scott Young, Margherita Simoni, Eric Ricardo Carreon Ruiz, Alice Llewellyn, Ruiyao Zhang, Ranggi Ramadhan, Sylvia Britto, Rhodri Jervis, Giovanni Romanelli, Anton Tremsin, Winfried Kockelmann, Markus Strobl, Manuel Morgano   +12 more
wiley   +1 more source

An Adaptive Super-Resolution Network for Drone Ship Images. [PDF]

Entropy (Basel)
Li H, Xiong W, Cui Y, Yao L.
europepmc   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Cutting-edge bayesian deep learning and statistical strategies for bias mitigation in COVID-19 detection via chest x-ray imaging. [PDF]

Sci Rep
Chen Y, Khan W, Ali F, Afsar H, Ejaz M, Alshamrani A, Kamal S.   +6 more
europepmc   +1 more source

Deformable Attention Multiscale Feature Fusion Network‐Dehaze: An Adaptive Image Dehazing Method Based on Deformable Attention Multiscale Fusion Network

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang, Yajun Chen, Hao Liu, Mingrui Li, Zhiqi Li   +4 more
wiley   +1 more source