Results 131 to 140 of about 72,312 (306)

Evaluation of deep learning‐based methods for automatic detection and segmentation of brain metastases in T1‐contrast MRI for stereotactic radiosurgery

Journal of Applied Clinical Medical Physics, Volume 27, Issue 1, January 2026.
Abstract Background Brain metastases (BMs) are manually contoured during stereotactic radiosurgery (SRS) treatment planning, which is both time‐consuming and potentially inconsistent. To address these challenges, researchers have been actively developing deep learning‐based approaches for the detection and segmentation of BMs.
Zhifeng Xu, Yuqi Yang, Guanjie Wang, Yi Xue, Xinyang Zhang, Yang Dong, Liming Xu, Qi Wang, Wei Wang, Zhiyong Yuan, Sheng Huang   +10 more
wiley   +1 more source

Hölder conditions for the local times and the Hausdorff measure of the level sets of Gaussian random fields [PDF]

, 1997
Yimin Xiao
openalex   +1 more source

Quantification of head and neck cancer patients' anatomical changes during radiotherapy: Toward the prediction of replanning need

Journal of Applied Clinical Medical Physics, Volume 27, Issue 1, January 2026.
Abstract Background Head and neck cancer (HNC) patients undergoing radiotherapy (RT) may experience anatomical changes during treatment, which can compromise the validity of the initial treatment plan, necessitating replanning. However, ad hoc replanning disrupts clinical workflows and increases workload.
Odette Rios‐Ibacache, James Manalad, Kayla O'Sullivan‐Steben, Emily Poon, Luc Galarneau, Julia Khriguian, George Shenouda, John Kildea   +7 more
wiley   +1 more source

Quantifying the Single‐Cell Morphological Landscape of Cellular Transdifferentiation through Force Field Reconstruction

Advanced Science, Volume 13, Issue 1, 5 January 2026.
This study reconstructs the driving force field of fibroblast‐to‐neuron transdifferentiation from sparse single‐cell images by decomposing it into flux and time‐dependent potential gradient, extending the landscape‐flux framework to non‐steady‐state systems.
Chudan Yu, Chuanbo Liu, Erkang Wang, Jin Wang   +3 more
wiley   +1 more source

Mind the Solid Side: Electrochemical Thermodynamics, Kinetics, and Hysteresis in Energy Materials

ChemElectroChem, Volume 13, Issue 1, January 2026.
This mini‐review presents the electrochemical thermodynamics, kinetics, and hysteresis in solid‐to‐solid electrochemical phase transformation under three distinct categories of regular solutions, Fickian diffusion models, and spinodal decomposition. It highlights the role of electrochemical modeling combined with galvanostatic and cyclic voltammetry ...
Keyvan Malaie
wiley   +1 more source

Gromov - Hausdorff Convergence and Topological Stability for Actions on Wasserstein Hyperspaces

Journal of Applied Sciences and Environmental Management
In this paper, we make use of topological stability from Gromov – Hausdorff view point to establish the Gromov – Hausdorff convergence and stability of induced actions on Wasserstein hyperspaces between maps.
M. A. Morawo, M. L. Danyaro, A. S. Bailey, K. Y. Azeez   +3 more
doaj  

On a class of Hausdorff measure of cartesian product sets in metric spaces

, 2023
Najmeddine Attia, Hajer Jebali, Rihab Guedri   +2 more
openalex   +1 more source

The Effects of Shoe Sole Thickness on Running Style and Stability During Downhill Running at Different Speeds

European Journal of Sport Science, Volume 26, Issue 1, January 2026.
ABSTRACT Advanced footwear technologies (AFT) like carbon plates and thick, lightweight soles were developed to enhance running performance. Previous research on sole thickness focused on level running; however, downhill running, with different biomechanical demands, remains underexplored. This study investigates how running shoe sole thickness affects
Cagla Kettner, Bernd J. Stetter, Thorsten Stein   +2 more
wiley   +1 more source

Comprehensive Multitask Ensemble Segmentation and Clinical Interpretation of Pancreatic and Peripancreatic Anatomy With Radiomics and Deep Learning Features

International Journal of Imaging Systems and Technology, Volume 36, Issue 1, January 2026.
ABSTRACT To develop and validate a multitask deep learning framework for the simultaneous segmentation and clinical classification of pancreatic and peripancreatic anatomical structures in contrast‐enhanced CT imaging, enabling robust, automated diagnostic assessment and TNM staging.
Ming Jiang, Jinye Hu, Jie Zheng, Jin Wang, Xiaohui Ye   +4 more
wiley   +1 more source

Singularity of self-similar measures with respect to Hausdorff measures [PDF]

, 1998
Manuel Morán, José-Manuel Rey
openalex   +1 more source