Results 201 to 210 of about 60,468 (320)

A Novel Multimodal Deep Image Analysis Model for Predicting Extraction/Non‐Extraction Decision

open access: yesOrthodontics &Craniofacial Research, Volume 29, Issue 1, Page 101-111, February 2026.
ABSTRACT Objective This study aimed to develop a deep learning model classifier capable of predicting the extraction/non‐extraction binary decision using lateral cephalometric radiographs (LCRs) and intraoral scans (IOS) to serve as an additional decision‐support tool for orthodontists.
Sunna Imtiaz Ahmad   +13 more
wiley   +1 more source

Machine Learning‐Aided Spatial Adaptation for Improved Digital Image Correlation Analysis of Complex Geometries

open access: yesStrain, Volume 62, Issue 1, February 2026.
ABSTRACT Digital image correlation (DIC) is a widely used experimental technique for measuring full‐field deformation, but its application to complex scenarios involving large deformations, discontinuities, or intricate geometries is often hampered by the need for manual region of interest (ROI) definition.
Jeffrey Leu   +5 more
wiley   +1 more source

Conformation-aware structure prediction of antigen-recognizing immune proteins. [PDF]

open access: yesMAbs
Dreyer FA   +10 more
europepmc   +1 more source

Dynamic frame-by-frame motion correction for <sup>18</sup>F-flurpiridaz PET-MPI using convolution neural network. [PDF]

open access: yesEur J Nucl Med Mol Imaging
Urs M   +8 more
europepmc   +1 more source

Inconsistency Removal of Reduced Bases in Parametric Model Order Reduction by Matrix Interpolation Using Adaptive Sampling and Clustering

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 1, 15 January 2026.
ABSTRACT Parametric model order reduction by matrix interpolation allows for efficient prediction of the behavior of dynamic systems without requiring knowledge about the underlying parametric dependency. Within this approach, reduced models are first sampled and then made consistent with each other by transforming the underlying reduced bases. Finally,
Sebastian Resch‐Schopper   +2 more
wiley   +1 more source

MRI segmentation of head and neck tumors using hybrid attention mechanism and dense dilated spatial pyramid pooling

open access: yesJournal of Applied Clinical Medical Physics, Volume 27, Issue 1, January 2026.
Abstract Background Head and neck cancer (HNC) involves anatomically intricate regions where precise target delineation is essential for radiotherapy. The superior soft‐tissue contrast of MRI provides clearer boundary visualization compared with computed tomography (CT), enabling tighter margins and supporting daily plan adaptation in online adaptive ...
Qiang Han   +9 more
wiley   +1 more source

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