Results 111 to 120 of about 65,475 (209)

3D Segmentation for Multi-Organs in CT Images

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2013
The study addresses the challenging problem of automatic segmentation of the human anatomy needed for radiation dose calculations. Three-dimensional extensions of two well-known state-of-the art segmentation techniques are proposed and tested for ...
Mariusz Bajger, Gobert Lee, Martin Caon
doaj   +1 more source

Test‐time adaptation‐driven patient‐specific auto‐segmentation for CBCT‐guided online adaptive radiotherapy in cervical cancer

Journal of Applied Clinical Medical Physics, Volume 27, Issue 5, May 2026.
Abstract Background Online adaptive radiotherapy using cone beam computed tomography (CBCT) of the pelvis can account for anatomical variations during cervical cancer treatment. However, the limitations of CBCT and existing auto‐segmentation methods, such as deformable image registration (DIR), hinder contouring and dosimetric accuracy.
Zhiqun Wang, Wei Zhang, Xiangyin Meng, Yongguang Liang, Tingting Dong, Jie Zhang, Nan Liu, Lang Yu, Bo Yang, Qichao Zhou, Jie Qiu   +10 more
wiley   +1 more source

Prospective Evaluation of Automated Contouring for CT-Based Brachytherapy for Gynecologic Malignancies

Advances in Radiation Oncology
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, Zohaib Iqbal, PhD, Rex A. Cardan, PhD, Richard A. Popple, PhD, Dennis N. Stanley, PhD, Sui Shen, PhD, Joel A. Pogue, PhD, Xingen Wu, PhD, Kevin Lee, MD, PhD, Samuel Marcrom, MD, Carlos E. Cardenas, PhD   +10 more
doaj   +1 more source

Degree theory for 4‐dimensional asymptotically conical gradient expanding solitons

Communications on Pure and Applied Mathematics, Volume 79, Issue 5, Page 1151-1298, May 2026.
Abstract We develop a new degree theory for 4‐dimensional, asymptotically conical gradient expanding solitons. Our theory implies the existence of gradient expanding solitons that are asymptotic to any given cone over S3$S^3$ with non‐negative scalar curvature. We also obtain a similar existence result for cones whose link is diffeomorphic to S3/Γ$S^3/\
Richard H. Bamler, Eric Chen
wiley   +1 more source

Plug-in estimation of level sets in a non-compact setting with applications in multivariate risk theory [PDF]

This paper deals with the problem of estimating the level sets of an unknown distribution function $F$. A plug-in approach is followed. That is, given a consistent estimator $F_n$ of $F$, we estimate the level sets of $F$ by the level sets of $F_n$.
Clémentine Prieur, Elena Di Bernardino, Thomas Laloë, Véronique Maume-Deschamps   +3 more
core  

Comparing Two Novel LiDAR‐Based Indices for Quantifying Forest Structural Complexity

Ecology and Evolution, Volume 16, Issue 5, May 2026.
This study compares two LiDAR‐derived forest structural complexity indices: the fractal‐based box dimension (Db$$ {D}_b $$) and the entropy‐based canopy entropy (CE$$ CE $$). Analysis of 170 plots revealed a strong linear correlation (r = 0.823) between Db$$ {D}_b $$ and CE$$ CE $$, but computation was much slower.
Tillman Reuter, Sebastian Seidel, Dominik Seidel   +2 more
wiley   +1 more source

From Low Field to High Value: Robust Cortical Mapping From Low‐Field MRI

Human Brain Mapping, Volume 47, Issue 7, May 2026.
Recon‐any processes a brain MRI acquired with arbitrary contrast, resolution, and field strength to generate morphometric measurements comparable to FreeSurfer's recon‐all, including cortical (parcellation, thickness, etc.) and volumetric (segmentation, regional volumes) outputs.
Karthik Gopinath, Annabel Sorby‐Adams, Jonathan Williams‐Ramirez, Dina Zemlyanker, Jennifer Guo, David Hunt, Christine L. Mac Donald, C. Dirk Keene, Timothy Coalson, Matthew F. Glasser, David Van Essen, Matthew S. Rosen, Oula Puonti, W. Taylor Kimberly, Juan Eugenio Iglesias, Alzheimer's Disease Neuroimaging Initiative   +15 more
wiley   +1 more source

A cohomology-based Gromov–Hausdorff metric approach for quantifying molecular similarity

Scientific Reports
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, Xue Gong, Wilderich Tuschmann, Kelin Xia   +3 more
doaj   +1 more source

A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention

Obesity Reviews, Volume 27, Issue 5, May 2026.
ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini, Shuo‐yu Lin, Ge Song, Ruopeng An, Hong Xue   +4 more
wiley   +1 more source

Completeness of sparse, almost integer, and finite local complexity sequences of translates in Lp(R)$L^p(\mathbb {R})$

Journal of the London Mathematical Society, Volume 113, Issue 5, May 2026.
Abstract A real sequence Λ={λn}n=1∞$\Lambda = \lbrace \lambda _n\rbrace _{n=1}^\infty$ is called p$p$‐generating if there exists a function g$g$ whose translates {g(x−λn)}n=1∞$\lbrace g(x-\lambda _n)\rbrace _{n=1}^\infty$ span the space Lp(R)$L^p(\mathbb {R})$.
Nir Lev, Anton Tselishchev
wiley   +1 more source