Results 61 to 70 of about 2,423 (185)

Generative Artificial Intelligence for Computer Vision in Endodontics: A Review of Current State and Future Potential

open access: yesInternational Endodontic Journal, EarlyView.
ABSTRACT Background Computer vision methods based on artificial intelligence (AI) have found numerous applications in endodontic diagnosis and treatment planning. While most current applications employ discriminative deep learning models for detection and classification tasks, the field is now witnessing the rise of generative AI (GenAI), a class of AI
Hossein Mohammad‐Rahimi   +6 more
wiley   +1 more source

Pushing the limits of atomic force microscopy: Emerging methods for speed, resolution, and quantitative analysis

open access: yesJournal of Microscopy, EarlyView.
Abstract Since its introduction 40 years ago, atomic force microscopy (AFM) has transformed nanoscale imaging across the physical and life sciences. In biology, AFM has provided unprecedented insights into nanoscale biomolecular organisation under near‐physiological conditions, revealing structures and interactions inaccessible to many conventional ...
Yueqi Wang   +5 more
wiley   +1 more source

Red Fluorescent Labeling of Myelin by Membrane‐Targeted tdTomato in Transgenic Mouse Lines

open access: yesGlia, Volume 74, Issue 12, December 2026.
Transgenic mouse lines expressing membrane‐targeted tdTomato in myelin enable imaging of myelin in the red spectral range. Distinct expression patterns range from wide‐spread labeling to sparse single‐cell resolution, supporting diverse imaging applications.
Anja Reinert   +15 more
wiley   +1 more source

Recovering Blurred Images to Recognize Field Information

open access: yesProceedings, 2022
This paper introduces a new computational approach for fast deblurring non-blind imaging. The method implementation reveals how to solve image deblurring integrals with arbitrary kernels using the Theory of Hypernumbers. The method is applicable for real-
Arkadiy Dantsker
doaj   +1 more source

Fast Localized Calibration for Spatial‐Spectral Excitation Without Fly‐Back Gradients

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 5, Page 2253-2265, November 2026.
ABSTRACT Purpose Standard spatial‐spectral excitation pulses apply a fly‐back gradient between sub‐pulses, limiting, for example, how thin the slices can be (> 4 mm). Without fly‐back gradients, slices can be as thin as 1.7 mm but require a phase calibration for the sub‐pulses with inverted gradients due to system imperfections.
Michael Schär   +3 more
wiley   +1 more source

Reducing Motion Artifact in High Resolution 7 T MRI Using the Magnetic Resonance Minimal Motion (“MR‐MinMo”) Head Stabilization Device

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 3, Page 1486-1501, September 2026.
ABSTRACT Purpose To evaluate the effectiveness of the MR‐MinMo head stabilization device in mitigating motion artifacts during long‐duration, high‐resolution 7 T MRI scans, with and without retrospective motion correction Methods The MR‐MinMo was tested on seven pediatric and 12 adult healthy volunteers using 0.6 mm isotropic, 3D Multi‐Echo Gradient ...
Jyoti Mangal   +10 more
wiley   +1 more source

Blind Image Deblurring Based on Local Edges Selection

open access: yesApplied Sciences, 2019
The edges of images are less sparse when images become blurred. Selecting effective image edges is a vital step in image deblurring, which can help us to build image deblurring models more accurately.
Yue Han, Jiangming Kan
doaj   +1 more source

3D MR Fingerprinting for Quantitative Bladder Wall T1, T2, and M0 Mapping in Healthy Subjects at 1.5 T and 3 T

open access: yesNMR in Biomedicine, Volume 39, Issue 9, September 2026.
Current diagnostic tests for lower urinary tract symptoms lack the ability to assess tissue‐level alterations in the bladder wall. This study introduces an approach for simultaneous high‐resolution 3D T1, T2, and proton density mapping of the bladder wall using magnetic resonance fingerprinting combined with a self‐supervised deep learning ...
Shane A. Wells   +5 more
wiley   +1 more source

Stochastic Blind Motion Deblurring [PDF]

open access: yesIEEE Transactions on Image Processing, 2015
Blind motion deblurring from a single image is a highly under-constrained problem with many degenerate solutions. A good approximation of the intrinsic image can, therefore, only be obtained with the help of prior information in the form of (often nonconvex) regularization terms for both the intrinsic image and the kernel.
Lei Xiao 0014   +3 more
openaire   +4 more sources

Compact Snapshot Hyperspectral Imaging With Neural Dispersion‐Engineered Metalens

open access: yesNanophotonics, Volume 15, Issue 15, 13 August 2026.
A dispersion‐engineered metalens, designed via an end‐to‐end deep learning framework, encodes spectral information through wavelength‐dependent PSF shifts. Fabricated by two‐photon grayscale lithography, the ultrathin device demonstrates outstanding spatial‐spectral reconstruction in both indoor and outdoor scenes, positioning it as a promising ...
Peng Liu, Jiaru Chu, Yuhang Chen
wiley   +1 more source

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