Results 151 to 160 of about 31,180 (236)

Application of Noise2Inverse and adaptation (Noise2Phase) to single‐mask x‐ray phase contrast micro‐computed tomography

Journal of Microscopy, EarlyView.
Abstract X‐ray phase contrast imaging (XPCI), when implemented in micro‐computed tomography (micro‐CT) mode, offers high‐contrast 3D imaging of weakly‐attenuating material samples. In the so‐called single‐mask edge illumination approach, a mask with periodically spaced transmitting apertures is used to split the x‐ray beam into narrow beamlets; when ...
Khushal Shah, Grammatiki Lioliou, Dai Chen, Alexander Denker, Peter Munro, Marco Endrizzi, Alberto Astolfo, Alessandro Olivo, Charlotte K. Hagen   +8 more
wiley   +1 more source

Current evidence of generative artificial intelligence specifically developed for dental and maxillofacial radiology: a systematic review. [PDF]

Dentomaxillofac Radiol
Hung KF, Wang F, Lu MY, Shi X, Bornstein MM, Ai QYH.   +5 more
europepmc   +1 more source

3SD: Rotational symmetry single‐shot denoising in fluorescence microscopy

Journal of Microscopy, EarlyView.
Abstract Image noise is a fundamental problem in fluorescence microscopy analysis, especially in live cell imaging applications where the number of detected photons is limited due to low power of excitation lasers to prevent phototoxicity during extended imaging experiments.
Tijmen H. de Wolf, Pleun Engbers, Justine Perrin, Julie Nonnekens, Ihor Smal   +4 more
wiley   +1 more source

Dual-Path Collaborative Transformer: Hybrid Attention and Stepwise Dilated Convolution for Remote Sensing Image Super-Resolution. [PDF]

Sensors (Basel)
Li X, Zhang M, Jin Y, Xu L, Wang B, Yang J.   +5 more
europepmc   +1 more source

Localized Quadratic RF Encoded Spin‐Echo With Spiral‐PRIME Reconstruction: A Practical Alternative to 3D FSE for High‐Resolution Volumetric Brain MRI

Magnetic Resonance in Medicine, Volume 96, Issue 6, Page 2615-2628, December 2026.
ABSTRACT Purpose To extend localized quadratic (LQ) RF encoded spin‐echo imaging with acquisition and reconstruction strategies that improve efficiency and artifact robustness, positioning it as a practical alternative to 3D FSE for high‐resolution volumetric brain MRI.
Guruprasad Krishnamoorthy, Julia V. Velikina, James G. Pipe   +2 more
wiley   +1 more source

OVR-GS: Open-Vocabulary 3D Object Removal via Semantic Gaussian Selection and Local Diffusion-Guided Completion. [PDF]

Sensors (Basel)
Ding Y, Ouyang F, Fan J, Chen T, Xu H.
europepmc   +1 more source

Fully 3D Unrolled Magnetic Resonance Fingerprinting Reconstruction via Staged Pretraining and Implicit Gridding

Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2516-2529, November 2026.
ABSTRACT Purpose Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative imaging, but high‐resolution 3D reconstructions remain computationally expensive due to the NUFFTs required at every iteration, and the commonly used Locally Low Rank (LLR) regularization becomes ineffective at high acceleration.
Yonatan Urman, Mark Nishimura, Daniel R. Abraham, Xiaozhi Cao, Kawin Setsompop   +4 more
wiley   +1 more source

Cartoon style generation of animated image scenes based on improved GAN and RetNet. [PDF]

PLoS One
Jin Z, Yang L.
europepmc   +1 more source

Regularized Joint Reconstruction and Slab Combination for Accelerated Three‐Dimensional Multi‐Slab Diffusion‐Weighted Imaging Using Multi‐Scale Energy Models

Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2321-2335, November 2026.
ABSTRACT Purpose To jointly reconstruct high‐resolution diffusion‐weighted volumes and eliminate slab‐boundary artifacts while preserving fine anatomical detail from undersampled 3D multi‐slab k‐space acquisitions. Methods A bilinear forward model was formulated to describe the 3D multi‐slab acquisition, treating the image volume and slab excitation ...
Reza Ghorbani, Jyothi Rikhab Chand, Chu‐Yu Lee, Mathews Jacob, Merry Mani   +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