Results 81 to 90 of about 15,742 (208)

Fibre phantom generation using FibreSimulator: an open‐source Python tool

open access: yesJournal of Synchrotron Radiation, Volume 33, Issue 3, Page 870-883, May 2026.
FibreSimulator is an open‐source tool for generating realistic 3D phantoms of unidirectional fibre‐reinforced polymers, enabling customizable fibre structures and simulating computed tomography scanning for algorithm development and validation.Fibre‐reinforced polymer composites are utilized across many industries for their stiffness and strength ...
Mary Chris Roperos Go   +4 more
wiley   +1 more source

The Open Reading Frame 7b of the SARS‐CoV‐2 Disperse Trans‐Golgi and Activate the NLRP3 Inflammasome

open access: yesJournal of Medical Virology, Volume 98, Issue 4, April 2026.
ABSTRACT Inflammasomes orchestrate the inflammatory response against bacterial and viral infections, thereby initiating the synthesis of pro‐inflammatory cytokines, mainly IL‐1β and IL‐18. SARS‐CoV‐2 infection induces an inflammatory response mediated by the activation of NLRP1 and NLRP3 inflammasomes.
Julio García‐Villalba   +4 more
wiley   +1 more source

Learning to Extract a Video Sequence from a Single Motion-Blurred Image

open access: yes, 2018
We present a method to extract a video sequence from a single motion-blurred image. Motion-blurred images are the result of an averaging process, where instant frames are accumulated over time during the exposure of the sensor.
Favaro, Paolo   +2 more
core   +1 more source

Adaptive blind image deblurring and denoising

open access: yesScandinavian Journal of Statistics, Volume 53, Issue 1, Page 413-441, March 2026.
Abstract Blind image deblurring aims to reconstruct the original image from its blurred version without knowing the blurring mechanism. This is a challenging ill‐posed problem because there are infinitely many possible solutions. The ill‐posedness is further exacerbated if the blurring mechanism depends on the pixel location.
Yicheng Kang   +2 more
wiley   +1 more source

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

open access: yes, 2018
We present DeblurGAN, an end-to-end learned method for motion deblurring. The learning is based on a conditional GAN and the content loss . DeblurGAN achieves state-of-the art performance both in the structural similarity measure and visual appearance ...
Budzan, Volodymyr   +4 more
core   +1 more source

Multi‐Scale Transformer for Image Restoration

open access: yesCAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 41-54, February 2026.
ABSTRACT Although Transformer‐based image restoration methods have demonstrated impressive performance, existing Transformers still insufficiently exploit multiscale information. Previous non‐Transformer‐based studies have shown that incorporating multiscale features is crucial for improving restoration results.
Wuzhen Shi   +6 more
wiley   +1 more source

Artificial Intelligence Revolution in Transcriptomics: From Single Cells to Spatial Atlases

open access: yesAdvanced Science, Volume 13, Issue 5, 27 January 2026.
Single‐cell RNA sequencing and spatial transcriptomics have unveiled cellular heterogeneity and tissue organization with unprecedented resolution. Artificial intelligence (AI) now plays a pivotal role in interpreting these complex data. This review systematically surveys AI applications across the entire analytic workflow and offers practical guidance ...
Shixin Li   +7 more
wiley   +1 more source

Exact, time‐dependent analytical equations for spiral trajectories and matching gradient and density‐correction waveforms

open access: yesMagnetic Resonance in Medicine, Volume 95, Issue 1, Page 400-410, January 2026.
Abstract Purpose To analytically define a spiral waveform and trajectory that match the constraints of gradient frequency, slew rate, and amplitude. Theory and Methods Piecewise analytical solutions for gradient waveforms under the desired constraints are derived using the circle of an involute rather than an Archimedean spiral.
Guruprasad Krishnamoorthy, James G. Pipe
wiley   +1 more source

Simulated Artifacts and Data Augmentation for Real-World Video Motion Deblurring

open access: yesIEEE Access
This paper proposes a data augmentation method that simulates artifacts specific to real-world videos as a preprocessing step for applying a deep learning-based video deblurring method to real-world videos.
Sota Moriyama, Kaito Kira, Koichi Ichige
doaj   +1 more source

Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity

open access: yes, 2010
A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP-EM algorithm. A dual mathematical interpretation of the proposed framework
Mallat, Stéphane   +2 more
core   +3 more sources

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