Results 51 to 60 of about 326 (131)

Technical development and implementation of 3D‐QALAS on a 1.5T MR‐Linac for the brain: A prospective R‐IDEAL stage 0/1 technology development report

open access: yesJournal of Applied Clinical Medical Physics, Volume 27, Issue 11, November 2026.
Abstract Background Quantitative relaxometry of the brain on the integrated MRI / linear accelerator (MR‐Linac) at high isotropic reconstructed resolution is currently limited due to prohibitively long scan times and limited field‐of‐views. Purpose The purpose of this study was to assess the technical feasibility of the 3D‐QALAS technique on the 1.5T ...
Lucas McCullum   +8 more
wiley   +1 more source

Explainable machine learning with wavelet‐enhanced multi‐scale texture analysis of diabetes‐related heel pad ultrasound texture differences

open access: yesJournal of Applied Clinical Medical Physics, Volume 27, Issue 11, November 2026.
ABSTRACT Background Diabetes is associated with structural and functional differences in plantar soft tissues, which may be reflected in ultrasound texture patterns. However, existing ultrasound texture studies are limited by single‐scale feature extraction and limited feature‐level interpretability.
Xinlei Ji   +6 more
wiley   +1 more source

Precise anatomical delineation in ultrasound imaging using echo‐spectral interactive networks

open access: yesJournal of Applied Clinical Medical Physics, Volume 27, Issue 11, November 2026.
Abstract Background Accurate ultrasound (US) segmentation is challenging because speckle noise, low contrast, and ambiguous tissue interfaces often obscure anatomical boundaries. Many conventional CNN‐ and Transformer‐based models operate primarily in the spatial domain and may not explicitly incorporate boundary‐related spectral cues.
Yi Xin   +6 more
wiley   +1 more source

Development of a phantom‐based end‐to‐end QA workflow for online adaptive radiotherapy incorporating high‐resolution 2D detector measurements

open access: yesJournal of Applied Clinical Medical Physics, Volume 27, Issue 11, November 2026.
Abstract Background Online adaptive radiotherapy (oART) accounts for anatomical changes by adjusting treatment plans on a daily basis. However, comprehensive plan‐specific quality assurance (QA) is challenging, as pre‐treatment measurements cannot be performed with the patient on the treatment couch.
Julian Niedling   +4 more
wiley   +1 more source

Regularity Estimates for Fully Nonlinear Dead‐Core Problems With a Hamiltonian Term

open access: yesMathematische Nachrichten, Volume 299, Issue 11, Page 3243-3265, November 2026.
ABSTRACT In this paper, we present a problem involving fully nonlinear elliptic operators with Hamiltonian, which can present a singularity or degenerate as the gradient approaches the origin. The model studied here, allows the appearance of plateau zones, i.e., unknown regions of the domain in which the non‐negative solutions vanishes.
Rafael R. Costa, Ginaldo S. Sá
wiley   +1 more source

On the Nonnegative Rank of Positive Operators

open access: yesMathematische Nachrichten, Volume 299, Issue 11, Page 3689-3704, November 2026.
ABSTRACT In this paper, we introduce the concept of a nonnegative rank of a positive operator T:X→Y$T: X\rightarrow Y$ between ordered vector spaces. In the case of nonnegative matrices, our definition agrees with the standard definition of a nonnegative rank.
Roman Drnovšek, Marko Kandić
wiley   +1 more source

Segment anything model (SAM)‐driven prompt‐guided interactive delineation of gross tumor volume for rectal cancer neoadjuvant radiotherapy

open access: yesMedical Physics, Volume 53, Issue 11, November 2026.
Abstract Background Segment Anything Model (SAM), a prompt‐guided foundation model, exhibits substantial potential for medical image segmentation by incorporating prior knowledge through user‐defined prompts. However, the application of SAM in radiotherapy target delineation remains limited.
Si Wu   +6 more
wiley   +1 more source

Advancing the Volumetric Analysis of Ultra‐Low‐Field Brain MRI Using Image‐to‐Image Translation

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 5, Page 2458-2473, November 2026.
ABSTRACT Purpose Ultra‐low‐field (ULF) MRI offers a promising path to accessible neuroimaging, with potential to address global healthcare disparities and advance population‐level brain health research. However, the inherently low signal‐to‐noise ratio (SNR), reduced spatial resolution, and altered tissue contrasts relative to conventional high‐field ...
Peter Hsu   +3 more
wiley   +1 more source

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

open access: yesMagnetic 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   +16 more
wiley   +1 more source

The Haagerup property is not invariant under quasi‐isometry

open access: yesBulletin of the London Mathematical Society, Volume 58, Issue 11, November 2026.
Abstract Using the work of Cornulier–Valette and Whyte (see Appendix A for the latter), we show that neither the Haagerup property nor weak amenability is invariant under quasi‐isometry of finitely generated groups. Appendix B shows, using the same examples, that the same holds for vanishing of the equivariant Lp$L^p$‐compression.
Mathieu Carette   +4 more
wiley   +1 more source

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