Results 101 to 110 of about 32,314 (198)

Diffusional magnetic resonance imaging anonymizing with variational autoencoder

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Anonymization is a crucial de‐identification technique that protects data privacy while ensuring its utility for model building. Current generative models such as generative adversarial networks and variational auto‐encoders (VAEs) have been applied to medical image anonymization but mainly focus on general image features, lacking specificity ...
Yunheng Shen, Ling Zheng, Ruohan Liu, Haoran Feng, Hairong Lv   +4 more
wiley   +1 more source

Spectropolarimetric Holographic Multiplexing Metasurface With Super‐High Capacity Empowered by Mechanical Rotation

Nanophotonics, Volume 15, Issue 9, 13 May 2026.
Mechanically reconfigurable metasurfaces enable high‐capacity optical storage and holography due to low cost/complexity. A differentiable inverse design framework maps meta‐atom geometries to multichannel optical responses via deep neural networks. Rotatable cascaded metasurfaces optimized through this pipeline achieve pixel‐level holography with 288 ...
Ting Ma, Xianjin Liu, Qiwen Bao, Bolun Zhang, Jun‐Jun Xiao   +4 more
wiley   +1 more source

Unveiling Facial Fidelity: A Novel Approach to Synthesizing High-Quality Face Images Using Generative Adversarial Networks

IEEE Access
In the field of computer vision, generating realistic images from sketches has garnered considerable attention due to its wide-ranging applications in art, design, and facial recognition systems.
Modafar Ati, Muhammad Ahmed Hassan, Muhammad Usman Ghani   +2 more
doaj   +1 more source

Retinal disease classification from OCT images using EfficientNetB3 with neutrosophic similarity score enhancement

Journal of Applied Clinical Medical Physics, Volume 27, Issue 5, May 2026.
Abstract Purpose Automated classification of retinal diseases from optical coherence tomography (OCT) images plays a significant role in supporting early diagnosis and clinical decision‐making. In this study, a deep learning (DL) framework is developed by integrating a neutrosophic similarity score (NSS) with the EfficientNetB3 to improve image ...
Devi M, G. Hannah Grace
wiley   +1 more source

WE‐UNet: A Wavelet‐enhanced U‐Net framework for radiation dose reduction in chest radiography

Journal of Applied Clinical Medical Physics, Volume 27, Issue 5, May 2026.
Abstract Background Reducing ionizing radiation exposure is a critical goal guided by the as‐low‐as‐reasonably‐achievable (ALARA) principle. Aggressively lowering radiation doses in radiography, however, amplifies image noise, compromising diagnostic quality.
Emil I. Cohen, Ufaq Khan, Benjamin Wallace, Arash R. Zandieh, Nariman Nezami, Ross W. Filice, David H. Field, William Poulett, Shazad Ashraf, Muhammad Bilal   +9 more
wiley   +1 more source

Speech Denoising Using Mixed Transform

مجلة النهرين للعلوم الهندسية, 2017
This paper presents a mixed transform based speech denoising technique obtained by the combination of multicircularlet and slantlet transforms and thresholding algorithm.
Sadiq J. Abou-loukh, Ali K. Ibrahim
doaj  

Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

Advanced Science, Volume 13, Issue 26, 8 May 2026.
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan, Beibei Xu, Jenna McCormack, XuHai Huang, Jingzhe Ma, Thomas Marshall, Yacong Sun, Hardeep Singh, Alyssa Fanelli, Gauri Kulkarni, Ji Hye Seo, Paige Gilbride, Bing Wei, Bo Wang, Yanyan Liu, Fei Ma, Lin Zhou, Shuyang Wang, Xiaohua Qian, Zhiyong Xie, Polina Golland, Longlong Si, Yu Shrike Zhang, Xin Xie, Haiqing Bai   +24 more
wiley   +1 more source

Adaptive deep residual network for image denoising across multiple noise levels in medical, nature, and satellite images

Ain Shams Engineering Journal
This research introduces the Adaptive Deep Residual Network (AdResNet), a deep convolutional neural network designed for effective image denoising in computer vision applications.
Mary Charles Sheeba, Christopher Seldev Christopher   +1 more
doaj   +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

Intelligent Operator‐Independent Flexibility in Robotic Non‐Destructive Evaluation

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Non‐destructive evaluation of high‐value components remains a manufacturing bottleneck due to rigid robotic calibration and fixturing. This study presents a flexible, adaptable system integrating 3D vision and force‐position control with a collaborative KUKA LBR robot. The geometry‐agnostic system enables pose‐independent ultrasonic inspection, detects
Amine Hifi, Randika K. W. Vithanage, Shaun McKnight, Vedran Tunukovic, Ewan Nicolson, Rylan Gomes, Alastair Poole, Ehsan Mohseni, Stephen Gareth Pierce, Charles MacLoed, Tom O’Hare, Gavin Munro   +11 more
wiley   +1 more source