Results 171 to 180 of about 965,256 (248)

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

Advanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo, Luyang Wang, Zhiling Yu, Xiaowen Chen, Xiaoyu Wang, Ya‐Hui Jia, Thibaud Denneulin, Yu Han, Rafal E. Dunin‐Borkowski, Fengshan Zheng, Qi Liu   +10 more
wiley   +1 more source

Sparse coding-based multiframe superresolution for efficient synchrotron radiation microspectroscopy. [PDF]

Discov Nano
Igarashi Y, Nagamura N, Sekine M, Fukidome H, Hino H, Okada M.   +5 more
europepmc   +1 more source

Photoacoustic image improvement based on a combination of sparse coding and filtering. [PDF]

J Biomed Opt, 2020
Najafzadeh E, Farnia P, Lavasani SN, Basij M, Yan Y, Ghadiri H, Ahmadian A, Mehrmohammadi M.   +7 more
europepmc   +1 more source

An RNA‐Binding Protein RBMS1 Promotes Endothelial Cell Autophagy to Maintain Vascular Homeostasis and Suppress Deep Vein Thrombosis

Advanced Science, EarlyView.
RBMS1, an RNA‐binding protein, restores vascular endothelial homeostasis by enhancing ATG3‐mediated autophagy, thereby attenuating thrombus formation and suggesting a potential avenue for further therapeutic exploration in DVT. ABSTRACT Deep vein thrombosis (DVT) is a prevalent vascular disorder characterized by aberrant coagulation within the deep ...
Chu Chu, Xinkui Liu, Nannan Fan, Xiaoyan Yu, Qiaoqiao Han, Yunhong Zhang, Wei Li, Yongqing Cai, Miaomiao Zhou, Fang Li, Feifei Shi, Zhen Zhang, Bin Wang, Xia Li   +13 more
wiley   +1 more source

Fuzzy Rules Reduction Based on Sparse Coding

International Journal of Applied Science and Engineering, 2019
Huiqin Jiang, Rung-Ching Chen, Qiao-En Liu, Su-Wen Huang   +3 more
doaj   +1 more source

Sparse-Coding Variational Autoencoders. [PDF]

Neural Comput
Geadah V, Barello G, Greenidge D, Charles AS, Pillow JW.   +4 more
europepmc   +1 more source

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

Advanced Science, EarlyView.
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang, Ziqi Liu, Zhengqian Zhang, Yikun Cao, Junjun Ren, Peng Cheng, Jingjing Tian, Lingyun Xie, Xin Lu, Zhanwei Du, Yongzhuang Liu   +10 more
wiley   +1 more source

Emergence of sparse coding, balance and decorrelation from a biologically-grounded spiking neural network model of learning in the primary visual cortex. [PDF]

PLoS Comput Biol
Ruslim MA, Spencer MJ, Hogendoorn H, Meffin H, Lian Y, Burkitt AN.   +5 more
europepmc   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

Advanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko, Eric S. Larsen, Govind Paneru, Kisung Lee, Diana V. Kolygina, Yankai Jia, Elizabeth Maria Clarissa, Wai‐Shing Wong, Bartosz A. Grzybowski   +8 more
wiley   +1 more source

Denoising pediatric cardiac photon-counting CT data with sparse coding and data-adaptive, self-supervised deep learning. [PDF]

Med Phys
Clark DP, Cao JY, Badea CT.
europepmc   +1 more source