Results 141 to 150 of about 17,318 (265)

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

Advanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng, Mingwei He, Jeff Zhu, Sujit K. Sahoo, Liheng Bian, Cuong Dang   +5 more
wiley   +1 more source

Nonlinear optimisation method for image segmentation and noise reduction using geometrical intrinsic properties

, 2006
This paper considers the optimisation of a nonlinear functional for image segmentation and noise reduction. Equations optimising this functional are derived and employed to detect edges using geometrical intrinsic properties such as metric and Riemann ...
Sharif, Bayan, Mahmoodi, Sasan
core  

SpaMode: A Broadly Applicable Framework for Deciphering Spatial Multi‐Omics Using Multimodal Mixture of Disentangled Experts

Advanced Science, EarlyView.
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng, Xinlei Huang, Xiang Zhou, Dian Meng, Ziyue Qiao, Zhiyuan Yuan, Lixin Cheng   +6 more
wiley   +1 more source

Wireless, Deep‐Seeing Smart Pill: A NIR‐II Fluorescence Imaging Capsule Endoscope for Gastrointestinal Cancer

Advanced Science, EarlyView.
A novel near‐infrared‐II fluorescent imaging capsule endoscope that detects specific fluorescence signals above 900 nm enables highly sensitive, targeted imaging of gastrointestinal cancer tissue. This wirelessly powered and magnetically controlled “smart pill” achieves high sensitivity and deep tissue penetration, allowing precise, non‐invasive ...
Weicheng Wang, Jinlei Jiang, Zhengting Wang, Shuqi Liu, Wei Wang, Xi Chen, Qirui Zhao, Xinyuan Cui, Cheng Zhou, Shengsheng Cui, Daxiang Cui   +10 more
wiley   +1 more source

Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning

Blind and universal image denoising consists of a unique model that denoises images with any level of noise. It is especially practical as noise levels do not need to be known when the model is developed or at test time.
El Helou, Majed, Süsstrunk, Sabine
core   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

Terahertz image denoising via multiscale hybrid‐convolution residual network

CAAI Transactions on Intelligence Technology
Terahertz imaging technology has great potential applications in areas, such as remote sensing, navigation, security checks, and so on. However, terahertz images usually have the problems of heavy noises and low resolution.
Heng Wu, Zijie Guo, Chunhua He, Shaojuan Luo, Bofang Song   +4 more
doaj   +1 more source

A Convolutional Neural Network SAR Image Denoising Algorithm Based on Self-Learning Strategies

Applied Sciences
Due to its high resolution and all-weather imaging capability, Synthetic Aperture Radar (SAR) is widely used in fields such as Earth observation and environmental monitoring. However, SAR images are prone to noise interference during the imaging process,
Jun Wang, Ke Xu
doaj   +1 more source

Macrophage‐to‐Myofibroblast Transdifferentiation Contributes to Pulmonary Fibrosis via the MERTK‐SPP1‐SRC‐TKS5 Signaling Axis

Advanced Science, EarlyView.
MERTK is upregulated in fibrotic macrophages and regulates the expression and activity of SRC and TKS5 through SPP1, mediating transdifferentiation of macrophages‐to‐myofibroblasts (MMT) and promoting pulmonary fibrosis. The figure was created with BioRender.com.
Yungeng Wei, Hua Guo, Xiangsheng Yang, Xiao Xiao Tang   +3 more
wiley   +1 more source