Results 101 to 110 of about 8,805 (204)
ABSTRACT Artificial intelligence (AI) enables automated, high‐throughput adiposity quantification, offering refined risk stratification for women with overweight and obesity. We systematically reviewed and meta‐analyzed studies evaluating AI‐based segmentation of visceral, subcutaneous, and total fat in adult women populations (BMI: 25–29.9 and ≥ 30 kg/
Asefa Adimasu Taddese, Bjorn T. Tam
wiley +1 more source
ANALYSIS OF FRESCHET AND HAUSDORF METRICS AND THEIR MODIFICATIONS FOR IMAGE COMPARISON
This paper provides a comprehensive analysis of classical and modern metric approaches used for quantitative evaluation of image similarity, including the Fréchet and Hausdorff distances as well as their modifications – the Gromov-Fréchet and Gromov ...
Микола БЕРЕЗЬКИЙ
doaj +1 more source
Free semigroups of large critical exponent
Abstract For a convergence group equipped with an expanding coarse‐cocycle, we construct finitely generated free subsemigroups, which we call Bishop−−Jonessemigroups$\textit{Bishop--Jones semigroups}$, of critical exponent arbitrarily close to but strictly less than the critical exponent of the ambient group.
Aleksander Skenderi
wiley +1 more source
Purpose: The use of deep learning to auto-contour organs at risk (OARs) in gynecologic radiation treatment is well established. Yet, there is limited data investigating the prospective use of auto-contouring in clinical practice. In this study, we assess
Abigayle C. Kraus, MD +10 more
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Abstract Atmospheric Rivers (ARs) are narrow regions of extratropical water vapor transport, situated in the lower troposphere. They are responsible for a large proportion of poleward vapor transport from the tropics to the midlatitudes. Although ARs are known to cause devastating floods when encountering topography, they are a crucial source of water ...
A. K. Sneddon +2 more
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Abstract Background Synthetic CTs (sCT) were developed to provide electron density information for MR‐only treatment planning. Some AI‐based sCT generators have received FDA‐clearance and better capture tissue heterogeneity through voxel‐wise mappings to improve image guidance and dose calculation.
Morgan Aire +7 more
wiley +1 more source
Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
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A cohomology-based Gromov–Hausdorff metric approach for quantifying molecular similarity
We introduce a cohomology-based Gromov–Hausdorff ultrametric method to analyze 1-dimensional and higher-dimensional (co)homology groups, focusing on loops, voids, and higher-dimensional cavity structures in simplicial complexes, to address typical ...
JunJie Wee +3 more
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ABSTRACT Introduction This micro‐computed tomography (micro‐CT) study aimed to evaluate the shaping ability of two nickel–titanium (NiTi) rotary systems—XP4 and ProTaper Next (PTN)—in 3D‐printed replicas of C‐shaped canals. Methods Two extracted mandibular second molars with C‐shaped root canals—one continuous (Melton's Category I) and one ...
Zaidao Xiong +6 more
wiley +1 more source
Shape Analysis and Recognition Method of Artworks Based on Computational Geometry
Traditional methods for shape analysis and recognition of artworks have many shortcomings in terms of precision, efficiency, and complex shape processing. Especially when faced with complex or abstract artworks, it is often difficult to provide accurate classification and recognition results.
Xiaohan Wang, Zhe Zhang
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