Results 91 to 100 of about 2,287,461 (261)

Development of an Open‐Source Algorithm for Automated Segmentation in Clinician‐Led Paranasal Sinus Radiologic Research

open access: yesThe Laryngoscope, EarlyView.
The purpose of this study was to validate and provide an open‐source segmentation algorithm of paranasal sinus CT scans for the otolaryngology research community. This can be used for further AI‐based analysis and radiomic analysis in future research. ABSTRACT Objective Artificial Intelligence (AI) research needs to be clinician led; however, expertise
Rhea Darbari Kaul   +12 more
wiley   +1 more source

Isodiametric inequality in Carnot groups

open access: yes, 2010
The classical isodiametric inequality in the Euclidean space says that balls maximize the volume among all sets with a given diameter. We consider in this paper the case of Carnot groups.
Rigot, Severine
core   +4 more sources

Vladimirov–Pearson operators on ζ$\zeta$‐regular ultrametric Cantor sets

open access: yesMathematische Nachrichten, EarlyView.
Abstract A new operator for certain types of ultrametric Cantor sets is constructed using the measure coming from the spectral triple associated with the Cantor set, as well as its zeta function. Under certain mild conditions on that measure, it is shown that it is an integral operator similar to the Vladimirov–Taibleson operator on the p$p$‐adic ...
Patrick Erik Bradley
wiley   +1 more source

Catching the head, tail, and everything in between: a streaming algorithm for the degree distribution

open access: yes, 2015
The degree distribution is one of the most fundamental graph properties of interest for real-world graphs. It has been widely observed in numerous domains that graphs typically have a tailed or scale-free degree distribution.
McGregor, Andrew   +2 more
core   +1 more source

Medical Image Retrieval Approach by Texture Features Fusion Based on Hausdorff Distance

open access: yes, 2018
Medical images play an important role in the hospital diagnosis and treatment, which include a lot of valuable medical information. Manually annotated viewing is obviously not effective in managing large amounts of medical imaging data.
Sun Xiaoming   +5 more
semanticscholar   +1 more source

Multi‐Frame Image Registration for Automated Ventricular Function Assessment in Single Breath‐Hold Cine MRI Using Limited Labels

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This study aims to develop an automated framework for operator‐independent assessment of cardiac ventricular function from highly accelerated images. Methods We introduce a deep learning framework that generates reliable ventricular volumetric parameters and strain measures from fully sampled and retrospectively accelerated MR images ...
Aya Ghoul   +7 more
wiley   +1 more source

Isoperimetric inequalities in Euclidean convex bodies [PDF]

open access: yes, 2013
In this paper we consider the problem of minimizing the relative perimeter under a volume constraint in the interior of a convex body, i.e., a compact convex set in Euclidean space with interior points.
Ritoré, Manuel, Vernadakis, Efstratios
core  

Realizations of Gromov-Hausdorff Distance

open access: yes, 2016
6 ...
Ivanov, Alexander   +2 more
openaire   +2 more sources

An improved two-dimensional variational mode decomposition algorithm and its application in oil pipeline image

open access: yesSystems Science & Control Engineering, 2020
In this paper, an image denoising algorithm is presented based on the two-dimensional variational mode decomposition (2D-VMD) and the Hausdorff distance (HD).
Hongyu Gao   +4 more
doaj   +1 more source

Physics‐Driven Deep Neural Networks for Solving the Optimal Transport Problem Associated With the Monge–Ampère Equation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Monge–Ampère equations (MAEs) are fully nonlinear second‐order partial differential equations (PDEs), which are closely related to various fields including optimal transport (OT) theory, geometrical optics and affine geometry. Despite their significance, MAEs are extremely challenging to solve.
Xinghua Pan, Zexin Feng, Kang Yang
wiley   +1 more source

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