Results 151 to 160 of about 115,711 (260)

Unpacking early risks for peer victimization: A network analysis of early temperament and polygenic risk scores

JCPP Advances, EarlyView.
Abstract Background Children who show difficult temperament are at risk of peer victimisation, which in turn associates with numerous negative outcomes later in life. We used network analysis to examine whether specific aspects of difficult temperament contributed to these associations, and whether the links were moderated by variations in genetic ...
Tom C.‐H. Wu, Deniz Konac, Liliana Garcia‐Mondragon, Alex F. Martin, Barbara Maughan, Ted Barker   +5 more
wiley   +1 more source

Identifying retinopathy in optical coherence tomography images with less labeled data via contrastive graph regularization. [PDF]

Biomed Opt Express
Hu S, Tang H, Luo Y.
europepmc   +1 more source

Developmental Brain Age Estimation From MRI Data: A Systematic Review of Deep Learning Approaches and Open Datasets

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Brain age is an emerging concept that reflects complex, time‐dependent changes in brain structure, identifying departures from expected neurodevelopmental patterns. In the developing brain, accurate MRI‐based age estimation is a quantitative biomarker for detecting atypical neurodevelopment, facilitating early diagnosis, guiding clinical ...
Hosna Asma ull, Misha P. T. Kaandorp, Andras Jakab, Hyun Gi Kim   +3 more
wiley   +1 more source

Posttraumatic stress disorder symptom change in youth after trauma‐focused cognitive behavioral therapy: Insights from cross‐sectional and cross‐lagged panel network analysis

Journal of Traumatic Stress, EarlyView.
Abstract Trauma‐focused cognitive behavioral therapy (TF‐CBT) is an evidence‐based treatment widely used for youth experiencing symptoms related to posttraumatic stress disorder (PTSD). This study used both cross‐sectional and cross‐lagged panel network (CLPN) analyses to examine changes in PTSD symptom networks following TF‐CBT and explore their ...
Qiyue Cai, Bingyu Xu, Sydni A. J. Basha, Sun‐Kyung Lee, Stephen G. West, Abigail H. Gewirtz   +5 more
wiley   +1 more source

Deep Learning‐Based Skin Lesion Classification

Journal of Ultrasound in Medicine, EarlyView.
High‐frequency ultrasound (HFUS) is valuable for assessing skin lesions, supporting diagnosis, treatment monitoring, and surgical planning. This study evaluates deep learning models for binary classification of HFUS images acquired in B‐mode and Doppler mode.
Isabela Rocha Veiga da Silva, André Gonçalves Jardim, Giulia Rita de Souza Faés, Thatiane Alves Pianoschi Alva, Carla Diniz Lopes Becker, Viviane Rodrigues Botelho   +5 more
wiley   +1 more source

Optical Coherence Tomography for High‐Precision Industrial Inspection in Industry 4.0: Advances, Challenges, and Future Trends

Laser &Photonics Reviews, EarlyView.
This review examines how optical coherence tomography transforms industrial inspection by delivering real‐time, micrometer‐resolution, depth‐resolved imaging. It surveys applications across display manufacturing, thin films, microelectronics, laser processing, and coatings, evaluates performance against conventional techniques, and highlights emerging ...
Nipun Shantha Kahatapitiya, Sm Abu Saleah, Daewoon Seong, Naresh Kumar Ravichandran, Sangyeob Han, Ruchire Eranga Wijesinghe, Mansik Jeon, Jeehyun Kim   +7 more
wiley   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

Macromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig, Yannik Köster, Timo Koswig, Punith Raviswamy, Subhash V. S. Ganti, Stefan Zechel, Christopher Kuenneth, Ulrich S. Schubert   +7 more
wiley   +1 more source

Offline and online coupled tensor factorization with knowledge graph. [PDF]

PLoS One
Lee S, Park YC, Kang U.
europepmc   +1 more source

Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers

Macromolecular Rapid Communications, EarlyView.
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley   +1 more source

Knowledge-graph embeddings for osteoarthritis candidate prediction. [PDF]

NPJ Digit Med
Wang Z, Lu Z, Li M, Zhao P, Zhang C.
europepmc   +1 more source