Results 141 to 150 of about 72,312 (306)

Uncertainty‐guided test‐time optimization for personalizing segmentation models in longitudinal medical imaging

open access: yesMedical Physics, Volume 53, Issue 1, January 2026.
Abstract Background Accurate and consistent image segmentation across longitudinal scans is essential in many clinical applications, including surveillance, treatment monitoring, and adaptive interventions. While personalized model adaptation using patient‐specific prior scans has shown promise, current approaches typically rely on fixed training ...
Jaehee Chun   +14 more
wiley   +1 more source

Dual energy CT and deep learning for an automated volumetric segmentation of the major intracranial tissues: Feasibility and initial findings

open access: yesMedical Physics, Volume 53, Issue 1, January 2026.
Abstract Background Magnetic resonance imaging (MRI) has traditionally been preferred over computed tomography (CT) for segmentation of intracranial structures due to its superior low contrast resolution. However, a reliable CT‐based segmentation could improve patient management when MRI is not practical.
Veronica Fransson   +9 more
wiley   +1 more source

A deep‐learning model for one‐shot transcranial ultrasound simulation and phase aberration correction

open access: yesMedical Physics, Volume 53, Issue 1, January 2026.
Abstract Background Transcranial ultrasound is a promising non‐invasive neuromodulation technique with applications, including neuronal activity modulation, blood–brain barrier opening, targeted drug delivery, and thermal ablation. Its ability to deliver focused ultrasound waves to precise brain regions has led to over 50 clinical trials targeting ...
Kasra Naftchi‐Ardebili   +3 more
wiley   +1 more source

A Study of Hausdorff Measure in Fuzzy Soft Metric Spaces

open access: diamond, 2022
Mayada N. Mohammedali   +2 more
openalex   +2 more sources

Longitudinal assessment of radiosurgery response in small brain metastases: AI‐driven precision tumor segmentation and monitoring on serial MRI

open access: yesMedical Physics, Volume 53, Issue 1, January 2026.
Abstract Background The conventional method of assessing radiotherapy outcome in brain metastases (BM) is based on monitoring tumor size alterations on serial magnetic resonance imaging (MRI). To accurately determine changes in tumor dimensions, targets require delineations on several volumetric images acquired before treatment and at multiple follow ...
Nauman Bashir Bhatti   +9 more
wiley   +1 more source

Neutral functional differential equations of second-order with infinite delays

open access: yesElectronic Journal of Differential Equations, 2010
This work shows the existence of mild solutions to neutral functional differential equations of second-order with infinite delay. The Hausdorff measure of noncompactness and fixed point theorem are used, without assuming compactness on the associated
Runping Ye, Guowei Zhang
doaj  

Advances in Deep Learning Applications for Choroidal Images Analysis: A Narrative Review

open access: yesIET Image Processing, Volume 20, Issue 1, January/December 2026.
Clinical detection and evaluation of the choroid primarily rely on imaging and subsequent image analysis. The application of artificial intelligence (AI), particularly deep learning (DL), in the analysis of choroidal images shows significant potential for improving accuracy and efficiency.
Yiwen Shi   +5 more
wiley   +1 more source

Controllability of nonlinear differential evolution systems in a separable Banach space

open access: yesElectronic Journal of Differential Equations, 2012
In this article, we study the controllability of semilinear evolution differential systems with nonlocal initial conditions in a separable Banach space. The results are obtained by using Hausdorff measure of noncompactness and a new calculation method.
Bheeman Radhakrishnan   +1 more
doaj  

Home - About - Disclaimer - Privacy