Results 101 to 110 of about 2,931,499 (197)

Deep Learning‐Based Dynamic Segmentation of the Left Atrium in 4D Flow MRI

Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2505-2515, November 2026.
ABSTRACT Purpose To design a deep learning pipeline for automated, time‐resolved segmentation of the left atrium (LA) from 4D flow MRI data. Methods We studied 100 individuals including 65 patients with atrial fibrillation (AF) and 35 healthy subjects (HS) resulting in 2530 4D flow MRI time‐volumes acquired in different centers and scanners.
Jonas Leite, Tom Da‐Silva Faria, Marie Shannon Soulez, Khaoula Bouazizi, Perrine Marsac, Elie Mousseaux, Jérôme Lamy, Moussa Gueda Moussa, Olivier Piot, Jacques Feignoux, Daniel Giese, Nicolas Badenco, Estelle Gandjbakhch, Alban Redheuil, Mikaël Laredo, Emilie Bollache, Nadjia Kachenoura   +16 more
wiley   +1 more source

Hausdorff measures in topological spaces

, 1965
Given a non-negative set function τ on a family ɑ of subsets of a metric space X, an outer measure ν can be generated on X as follows: for B⊂X and δ > 0, [Equations omitted] The Hausdorff s-dimensional and h-measures are special cases of this measure.
Willmott, Richard C.
core   +1 more source

Several Similarity Measures of Neutrosophic Sets [PDF]

Neutrosophic Sets and Systems, 2013
Smarandache (1995) defined the notion of neutrosophic sets, which is a generalization of Zadeh's fuzzy set and Atanassov's intuitionistic fuzzy set. In this paper, we first develop some similarity measures of neutrosophic sets.
Said Broumi, Florentin Smarandache
doaj  

Comparative evaluation of VoxelMorpand conventional deformable image registration algorithms for thoracic 4D‐CT in radiotherapy

Journal of Applied Clinical Medical Physics, Volume 27, Issue 10, October 2026.
Abstract Background Deformable image registration (DIR) is essential for thoracic four‐dimensional computed tomography (4D‐CT)‐based radiotherapy applications. Recently, deep learning‐based DIR methods such as VoxelMorph have been proposed; however, their performance relative to clinically used DIR algorithms remains unclear.
Mizuha Sakai, Megumi Nakao, Hideaki Hirashima, Masahiro Yoneyama, Noriko Kishi, Takashi Mizowaki, Mitsuhiro Nakamura   +6 more
wiley   +1 more source

Hearing the Serre Invariant of a Compact p‐Adic Analytic Manifold

Mathematische Nachrichten, Volume 299, Issue 10, Page 3126-3138, October 2026.
ABSTRACT Using a previous novel way of defining kernel functions for Laplacian integral operators on a compact p$p$‐adic analytic manifold X$X$, one such operator Δ0s$\Delta _0^s$ with s∈R$s\in \mathbb {R}$ is applied to hearing the Serre invariant i(X)$i(X)$ by showing that a wavelet eigenvalue (with the wavelet having small support) is always ...
Patrick Erik Bradley, Ángel Morán Ledezma   +1 more
wiley   +1 more source

One‐Class Autoencoders for Porcelain Art Attribution: The Case of William Billingsley

Archaeometry, Volume 68, Issue 5, Page 1110-1122, October 2026.
ABSTRACT This comprehensive study explores the application of advanced machine learning techniques, specifically one‐class autoencoders, for the authentication and attribution of English porcelain artworks. Focusing primarily on the works of William Billingsley (1758–1828), one of England's most celebrated porcelain decorators, we demonstrate how ...
Hassan Ugail, Morgan Denyer, Rachel Denyer, Howell Edwards   +3 more
wiley   +1 more source

Borel measures and Hausdorff distance

, 1988
In this article we study the restriction of Borel measures defined on a metric space X X to the nonempty closed subsets CL ⁡ ( X ) \operatorname {CL} (X) of X X ...
Gerald Beer, Luzviminda Villar
core   +1 more source

On the Čech-Completeness of the Space of τ-Smooth Idempotent Probability Measures

Axioms
For the set I(X) of probability measures on a compact Hausdorff space X, we propose a new way to introduce the topology by using the open subsets of the space X.
Ljubiša D. R. Kočinac, Adilbek A. Zaitov, Muzaffar R. Eshimbetov   +2 more
doaj   +1 more source

From SAM 1 to SAM 3: Benchmarking Zero‐Shot Cross‐Domain Medical Image Segmentation

Expert Systems, Volume 43, Issue 10, October 2026.
ABSTRACT Segmentation models have demonstrated significant potential in medical image segmentation. However, there is currently a lack of systematic, cross‐generation comparative evaluations to assess whether the iterations from SAM1 to SAM 3 can effectively enhance the clinical applicability of zero‐shot segmentation. To address this issue, this paper
Shujun Lv, Bo Fang, Yongfei Wu, Kun Li, Qiankun Li, Junxin Chen   +5 more
wiley   +1 more source

Can Deep Learning Methods Differentiate Temporomandibular Joint Disorders From Healthy Joints? A 3D Artificial Intelligence Algorithm Study Based on CBCT Images

Journal of Oral Rehabilitation, Volume 53, Issue 10, Page 1932-1942, October 2026.
In this study, an integrated deep learning approach was developed for the evaluation of temporomandibular joint disorders using multicentre CBCT images. The mandibular condyle was first automatically segmented using the nnU‐Net v2 architecture. Subsequently, 3D‐CNN algorithms classified the condyles as healthy or unhealthy and further distinguished ...
İbrahim Şevki Bayrakdar, Sevda Kurt‐Bayrakdar, Alican Kuran, Özer Çelik, Kaan Orhan, Rohan Jagtap   +5 more
wiley   +1 more source