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

