Results 41 to 50 of about 7,267 (122)

An X‐ray micro‐CT protocol enables non‐destructive 3D visualization of glandular architecture in archived paraffin‐embedded prostate cancer tissue

The Journal of Pathology: Clinical Research, Volume 12, Issue 6, November 2026.
Abstract The prostate is organized as a complex glandular network, and prostate cancer is accompanied by architectural changes that cannot always be inferred from two‐dimensional (2D) histology. The study of these features in three dimensions (3D) in cancerous tissue is important because glandular features have shown potential value for disease ...
Santiago Laguna‐Castro, Erna Mäkinen, Teemu Tolonen, Antti Kaipia, Jari Hyttinen   +4 more
wiley   +1 more source

MRpro: Open Framework for Model‐Based, Learned, and Quantitative MR Imaging—Application to Low‐Field MRI

NMR in Biomedicine, Volume 39, Issue 11, November 2026.
MRpro is an open‐source PyTorch framework for MR image reconstruction and quantitative parameter estimation. Its modular design combines standardized data handling, composable operators, ready‐to‐use algorithms, and deep‐learning components to support reproducible workflows for conventional and low‐field MRI.
Felix Frederik Zimmermann, Patrick Schuenke, Christoph S. Aigner, Bill A. Bernhardt, Mara Guastini, Johannes Hammacher, Helge Herthum, Noah Jaitner, Andreas Kofler, Leonid Lunin, Stefan Martin, Catarina Redshaw Kranich, Jakob Schattenfroh, David Schote, Yanglei Wu, Christoph Kolbitsch   +15 more
wiley   +1 more source

Polarization‐Multiplexed Double‐Helix/Airy Metalens for Depth‐Resolved Texture Imaging With Extended Depth‐of‐Field

Nanophotonics, Volume 15, Issue 19, 13 October 2026.
To address the trade‐off between depth discriminability and texture preservation in PSF‐engineered imaging, a polarization‐multiplexed metalens is developed to decouple depth estimation from extended‐depth‐of‐field texture acquisition. The DH‐derived depth guides depth‐matched Airy PSF selection for non‐blind texture recovery, while computational ...
Xinyi Tian, Zhanhong Zhou, Bohan Xiao, Li Yao, Zhihong Liu, Tianyun Wang, Yuhong Luo, Jun Wang, Yujie Xia, Chao Shen, Junwen Zhang, Nan Chi, Ziwei Li   +12 more
wiley   +1 more source

Frequency Schrödinger bridge diffusion model for fast MRI reconstruction in abdominal MR‐guided online adaptive radiotherapy

Journal of Applied Clinical Medical Physics, Volume 27, Issue 10, October 2026.
Abstract Background Online adaptive radiotherapy (ART) employs modalities like CBCT, CT, and MRI. For abdominal malignancies, MRI stands out with superior soft‐tissue contrast, no ionizing radiation, and functional imaging capabilities. Yet, MRI‐guided ART for such cases is challenged by long treatment time.
Zhiqun Wang, Shaobin Wang, Nan Liu, Qiu Guan, Qi Chen, Fang Chen, Bei Wang, Yongguang Liang, Xia Liu, Bo Yang, Lang Yu, Hongen Liao, Jie Qiu   +12 more
wiley   +1 more source

Wavelength‐Multiplexed 2D Beam Steering via a Passive Diffractive Network

Advanced Optical Materials, Volume 14, Issue 37, 9 October 2026.
Illustration of a wavelength‐multiplexed diffractive beam steering system, which is composed of K cascaded diffractive layers, each containing phase‐modulating elements that are jointly optimized using deep learning–based optimization. When illuminated with a set of wavelengths {λ1,λ2,…,λNw}$\{ {{{\lambda }_1},{{\lambda }_2},\ldots ,{{\lambda }_{{{N}_w}
Che‐Yung Shen, Yuhang Li, Çağatay Işıl, Tianyi Gan, Mona Jarrahi, Aydogan Ozcan   +5 more
wiley   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

Advanced Intelligent Discovery, Volume 2, Issue 5, October 2026.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Quoc Nam Le, Jee‐Hyong Lee, Sung Ha Park   +5 more
wiley   +1 more source

A Comprehensive Review of GAN‐CNN Hybrid Methods for Intelligent Fault Diagnosis of Rotating Machinery

Engineering Reports, Volume 8, Issue 10, October 2026.
This paper reviews recent advances in hybrid deep learning for intelligent fault diagnosis of rotating machinery, focusing on GAN‐ and CNN‐based architectures and their specialized variants. Hybrid GAN‐CNN methods are categorized into three groups: (1) optimized original GANs with CNN variants, (2) improved GAN architectures integrated with CNNs, and ...
Temesgen Tadesse Feisa, Fasikaw Kibrete, Yitbarek Gashaw Tadesse, Abdu Mohammed Seid, Sewale Yasabu Enyew, Getachew Getu Enyew, Mulugeta Linger Tariku, Zewdie Alemayehu Mulat   +7 more
wiley   +1 more source

Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1972-1982, October 2026.
ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu, Rong Guo, Ziwen Ke, Yudu Li, Yibo Zhao, Wen Jin, Ruihao Liu, Ziyu Meng, Yao Li, Zhi‐Pei Liang   +9 more
wiley   +1 more source

LAViG‐FLOW: Latent Autoregressive Video Generation for Fluid Flow Simulations

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Modeling and forecasting subsurface multiphase fluid flow fields underpin applications ranging from geological CO2 sequestration (GCS) operations to geothermal production. This is essential for ensuring both operational performance and long‐term safety.
V. De Pellegrini, T. Alkhalifah
wiley   +1 more source

Infrared‐Guided Super‐Resolution of Remotely Sensed Passive Microwave Sea Surface Temperature

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract High‐resolution sea surface temperature (SST) is essential for weather forecasting and climate applications. Passive microwave (MW) SST offers largely cloud‐penetrating coverage but is coarse and spatially smoothed, whereas infrared (IR) SST resolves fine‐scale structures but is frequently cloud‐obscured.
Wenjie Zhou, Xiaofeng Yang
wiley   +1 more source