Results 91 to 100 of about 65,475 (209)
Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 287-301, July 2026.ABSTRACT Purpose In diffusion MRI, vasogenic edema manifests as a major fraction of isotropic water that dilutes the anisotropic intra‐axonal portion of the signal. Many tractography algorithms mistake vasogenic edema for the white matter boundary and terminate tracking to prevent producing spurious streamlines.
Patryk Filipiak +6 more
wiley +1 more source
Bidirectional meta-Kronecker factored optimizer and Hausdorff distance loss for few-shot medical image segmentation. [PDF]
Sci Rep, 2023 Kim Y, Kang D, Mok Y, Kwon S, Paik J.
europepmc +1 more source
Matricial quantum Gromov–Hausdorff distance
Journal of Functional Analysis, 2003 We develop a matricial version of Rieffel's Gromov-Hausdorff distance for compact quantum metric spaces within the setting of operator systems and unital C*-algebras. Our approach yields a metric space of ``isometric'' unital complete order isomorphism classes of metrized operator systems which in many cases exhibits the same convergence properties as ...
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Vector Bundles and Gromov–Hausdorff Distance [PDF]
Journal of K-Theory, 2009 AbstractWe show how to make precise the vague idea that for compact metric spaces that are close together for Gromov–Hausdorff distance, suitable vector bundles on one metric space will have counterpart vector bundles on the other. Our approach employs the Lipschitz constants of projection-valued functions that determine vector bundles. We develop some
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Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI
Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3519-3535, June 2026.ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul +8 more
wiley +1 more source
Development of hamming and hausdorff distance metrics for cubic intuitionistic fuzzy hypersoft set in cement storage quality control: Development and evaluation. [PDF]
PLoS One, 2023 Saeed M, Saeed MH, Khalid M, Mekawy I.
europepmc +1 more source
On the relationship between the Hausdorff distance and matrix distances of ellipsoids
Linear Algebra and its Applications, 1983 AbstractThe space of ellipsoids may be metrized by the Hausdorff distance or by the sum of the distance between their centers and a distance between matrices. Various inequalities between metrics are established. It follows that the square root of positive semidefinite symmetric matrices satisfies a Lipschitz condition, with a constant which depends ...
Goffin, Jean-Louis, Hoffman, Alan J.
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The Journal of Pathology, Volume 269, Issue 2, Page 164-181, June 2026.Abstract Lung cancer is the leading cause of global cancer‐related morbidity and mortality, with tobacco smoking as its strongest risk factor. Nuclear factor erythroid 2‐related factor 2 (NRF2) is a redox‐regulated transcription factor frequently dysregulated in non‐small cell lung cancer (NSCLC), leading to aggressive disease and resistance to therapy.
Jouni Härkönen +14 more
wiley +1 more source
Topographic Gromov-Hausdorff quantum Hypertopology for Quantum Proper Metric Spaces
, 2014 We construct a topology on the class of pointed proper quantum metric spaces which generalizes the topology of the Gromov-Hausdorff distance on proper metric spaces, and the topology of the dual propinquity on Leibniz quantum compact metric spaces.
Latremoliere, Frederic
core
Machine Learning for Local Detection of Separators in Three‐Dimensional Magnetic Fields
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.Abstract Magnetic reconnection is a major plasma phenomenon occurring in various key environments ranging from the Sun and near‐Earth space to astrophysical plasmas. While magnetic reconnection is relatively well‐understood under two‐dimensional (2D) settings, it remains challenging to characterize in three‐dimensional (3D) magnetic fields.
Fanni Franssila +5 more
wiley +1 more source