Results 121 to 130 of about 13,088 (235)

Assessment of Deep Learning-Generated Ultra-Widefield Fluorescein Angiography From Fundus Images in Diabetic Retinopathy. [PDF]

Transl Vis Sci Technol
Park SE, Kim JH, Lee SH, Ra H, Baek J.
europepmc   +1 more source

Quantitative evaluation of respiratory motion‐induced blurring in expiratory‐phase CBCT for pancreatic SBRT

Journal of Applied Clinical Medical Physics, Volume 27, Issue 8, August 2026.
Abstract Background Cone‐beam computed tomography (CBCT) is widely used in image‐guided radiotherapy because it reflects the patient's anatomy immediately before treatment. However, CBCT images of the abdominal organs, including the pancreas, are often degraded by respiratory motion.
Airi Nukushina, Ryota Yamada, Takaaki Yoshimura, Norio Katoh, Kentaro Nishioka, Hiroshi Tamura, Masataka Kitagawa, Keiji Kobashi, Takahiro Kanehira, Hidefumi Aoyama, Takayuki Hashimoto   +10 more
wiley   +1 more source

Hadamard Matrix Slicing Single‐Pixel Imaging: Establishing a Linear‐Array‐Inspired Paradigm for N‐fold Acceleration Single‐Pixel Imaging

Advanced Science, Volume 13, Issue 43, 3 August 2026.
To overcome two‐dimensional modulation bottlenecks, Hadamard Matrix Slicing Single‐Pixel Imaging (HMS‐SPI) establishes an efficient one‐dimensional imaging paradigm. By slicing the traditional Hadamard matrix into one‐dimensional encoding vectors and spatially expanding them, the required measurement patterns decrease by a factor of N.
Xiaoxue Li, Jieting Hou, Qizheng Zhao, Yiqi Jia, Xiang Zhong, Mengchao Ma, Huaxia Deng, Xinglong Gong, Ziwei Wang   +8 more
wiley   +1 more source

High-Payload and Secure Data Hiding for Medical Images in IoMT-Based eHealth Systems. [PDF]

Sensors (Basel)
Wang Y, Lin Y, Chang CC, Chang CC, Hwang WY.   +4 more
europepmc   +1 more source

Hardware‐Attentive Programmable Fourier Ptychography Enables Task‐Adaptive Label‐Free Virtual Staining

Advanced Science, Volume 13, Issue 46, 17 August 2026.
Task‐adaptive programmable optics enables label‐free virtual staining through optical‐attention‐guided acquisition and reconstruction. By optimizing wavelength, illumination angle, exposure time, and imaging depth, the framework learns task‐relevant optical measurements, generating clinically interpretable virtual stains with improved fidelity, non ...
Tianyue He, Wenyi Jing, Le Zhang, Qican Zhang, Tingdong Kou, Xin He, Yan Qiu, Yang Lu, Jian Cui, Yongfu Wen, Zhenrong Zheng, Hongying Zhang, Dayong Jin, Junfei Shen   +13 more
wiley   +1 more source

Product-of-Gaussian-mixture diffusion models for joint nonlinear MRI reconstruction. [PDF]

J Math Imaging Vis
Nagler L, Zach M, Pock T.
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

PAT-Mamba: Adaptive all-in-one image restoration for photoacoustic tomography via state space model. [PDF]

Photoacoustics
Chen Z, Feng T, Ta D.
europepmc   +1 more source

Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang, Andrew Bai, Alexandra Bermudez, Yunqi Hong, Zoe Latham, Iris Sloan, Michael Liu, Vishrut Goyal, Cho‐Jui Hsieh, Neil Y. C. Lin   +9 more
wiley   +1 more source

Boosting underwater image quality: a deep learning approach to denoising and enhancement. [PDF]

Sci Rep
Ali N, Habib M, Ahmad FB, Rehman SU, Guo Y, Alshammari A.   +5 more
europepmc   +1 more source