Results 161 to 170 of about 6,876,175 (322)

A Review of Image Denoising Algorithms, with a New One

Multiscale Modeling & simulation, 2005
A. Buades, B. Coll, J. Morel
semanticscholar   +1 more source

NIR‐II Imaging‐Guided Photothermal Activation of a TRPV4‐Targeted Nanoplatform Delivering Cycloastragenol to Promote Microglia Reprogramming and α‐Synuclein Clearance in Parkinson's Disease

Advanced Science, EarlyView.
ABSTRACT Current therapies for Parkinson's disease (PD) fail to concurrently address α‐synuclein (α‐syn) aggregation and microglia‐mediated neuroinflammation. Herein, we engineer a near‐infrared‐II (NIR‐II) phototheranostic nanoplatform, CAG/FD1080@MM‐aTRPV4, for synergistic regulation of microglial function and real‐time monitoring of PD pathology. We
Hsuan Lo, Linjuan Feng, Shiying Li, Lik Hang Hugo Tse, Xuehan Wang, Xingyang Zhao, Shaoheng Ma, Xin Li, Yanjuan Gu, Wing‐Tak Wong   +9 more
wiley   +1 more source

Application of Convolutional Neural Networks for Parallel Multi-Scale Feature Extraction in Noise Image Denoising

IEEE Access
Although deep learning techniques have made significant advances in the field of images, existing methods still face challenges in processing complex, noisy images.
Yiming Li, Tao Xie, Dongdong Mei
doaj   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +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

Weighted Nuclear Norm Minimization with Application to Image Denoising

2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Shuhang Gu, Lei Zhang, W. Zuo, Xiangchu Feng   +3 more
semanticscholar   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

Advanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng, Fuze Cong, Shenbo Zhang, Rui Lv, Wenjia Zhang, Xinyi Ke, Juncheng Wu, Zhonghe Zhao, Kui Zhao, Di Dong, Ruofan Zhang, Zhengyu Jin, Max Seidensticker, Zhiwei Wang, Huanwen Wu, Xianlin Han, Nan Hong, Huadan Xue   +17 more
wiley   +1 more source

Edge-Based Denoising Image Compression

2024 32nd European Signal Processing Conference (EUSIPCO)
In recent years, deep learning-based image compression, particularly through generative models, has emerged as a pivotal area of research. Despite significant advancements, challenges such as diminished sharpness and quality in reconstructed images, learning inefficiencies due to mode collapse, and data loss during transmission persist.
Morita, Ryugo, Nishimura, Hitoshi, Watanabe, Ko, Dengel, Andreas, Zhou, Jinjia   +4 more
openaire   +2 more sources

Stable Diffusion Models Reveal a Persisting Human–AI Gap in Visual Creativity

Advanced Science, EarlyView.
This study examines visual creativity in humans and generative AI using the TCIA framework. Human artists outperform AI overall, yet structured human guidance substantially improves AI outputs and evaluations. Findings reveal that alignment with human creativity depends critically on contextual framing, highlighting both the promise and current ...
Silvia Rondini, Claudia Alvarez‐Martin, Paula Angermair‐Barkai, Olivier Penacchio, Marc Paz, Matthew Pelowski, Dan Dediu, Antoni Rodriguez‐Fornells, Xim Cerda‐Company   +8 more
wiley   +1 more source

DC‐magnetometry Analytical Tool Driven by Spin Ordering Phenomena for Sensing Chemical Interactions at the Surface of Nanomaterials

Advanced Science, EarlyView.
The adsorption of AsV on akaganeite nanorods was found to provide a magnetic signature. A change in the surface spin order gave rise to a second peak in the zero‐field cooled curve. AsIII adsorption does not provide any change in the magnetic behavior of the sorbent.
Marco Sanna Angotzi, Valentina Mameli, Alessandra Fantasia, Cesare Atzori, Giovanni Bertoni, Vincenzo Grillo, Giorgio Divitini, Dominika Zakutna, Jana Vejpravova, Martin Kalbac, Jan Plšek, Carla Cannas   +11 more
wiley   +1 more source