Results 151 to 160 of about 572,458 (282)

GraFT: Graph Filtered Temporal Dictionary Learning for Functional Neural Imaging. [PDF]

IEEE Trans Image Process, 2022
Charles AS, Cermak N, Affan RO, Scott BB, Schiller J, Mishne G.   +5 more
europepmc   +1 more source

Factors associated with better emotional, behavioural and educational outcomes in children with mild intellectual difficulties

JCPP Advances, EarlyView.
Abstract Background Children with mild intellectual difficulties (MID) are at increased risk of poor mental health and functional outcomes compared to typically developing children. Previous research has primarily focused on deficit‐based comparisons. However, substantial heterogeneity exists in this population, ranging from significant impairment to ...
Foteini Tseliou, Charlotte A. Dennison, Christopher B. Eaton, Jessica M. Armitage, Frances Rice, Stephan Collishaw   +5 more
wiley   +1 more source

Multivariate Time Series Imputation: An Approach Based on Dictionary Learning. [PDF]

Entropy (Basel), 2022
Zheng X, Dumitrescu B, Liu J, Giurcăneanu CD.   +3 more
europepmc   +1 more source

Teaching Occlusal Splints in the Digital Age: Comparing Student Experiences with Conventional and CAD/CAM Workflows

Journal of Dental Education, EarlyView.
ABSTRACT Background The teaching of occlusal splint therapy in dental education is evolving with the integration of digital workflows. Although digital tools offer operational advantages, conventional methods remain pedagogically relevant. Understanding students’ perceptions of both approaches is essential for guiding curriculum innovation.
Marcelo José Palma‐Fernandes, Júlio Ruiz‐Marrara, Maria Fernanda de Campos‐Muller, Melissa Oliveira de Melchior, Inês Sansonetty Gonçalves Côrte‐Real, Jardel Francisco Mazzi‐Chaves, Laís Valencise Magri   +6 more
wiley   +1 more source

Three-Dimensional Face Recognition Using Solid Harmonic Wavelet Scattering and Homotopy Dictionary Learning. [PDF]

Entropy (Basel), 2022
He Y, Cheng P, Yang S, Zhang J.
europepmc   +1 more source

Enhancing Study Design and Analysis of MR Imaging Markers Through Measurement Error Modeling

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Measurement error in imaging reduces statistical power and potentially biases parameter estimation, compromising study reliability. Purpose To introduce a dual data collection design (reliability and main datasets) to quantify measurement error and apply regression calibration to correct error‐prone imaging markers, thereby ...
Xiaofeng Wang, Walter Zhao, Yifan Wang, Deborah H. Kwon, Ting‐Yu Su, Nancy A. Obuchowski, Mark A. Griswold, Zhong Irene Wang, Dan Ma   +8 more
wiley   +1 more source

Dictionary learning LASSO for feature selection with application to hepatocellular carcinoma grading using contrast enhanced magnetic resonance imaging. [PDF]

Front Oncol, 2023
Lei L, Du LX, He YL, Yuan JP, Wang P, Ye BL, Wang C, Hou Z.   +7 more
europepmc   +1 more source

Cardiac MR Fingerprinting at 0.55T Using a Deep Image Prior for Joint T1, T2, and M0 Mapping

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background 0.55T systems offer unique advantages and may support expanded access to cardiac MRI. Purpose To assess the feasibility of 0.55T cardiac MR Fingerprinting (MRF), leveraging a deep image prior reconstruction to mitigate noise. Study Type Phantom and prospective in vivo assessment.
Zhongnan Liu, Zexuan Liu, Imran Rashid, Mauricio Stanzione Galizia, Christopher Scoma, William Truesdell, Prachi Agarwal, Nicole Seiberlich, Liyue Shen, Jesse Hamilton   +9 more
wiley   +1 more source

Towards the characterization of the tumor microenvironment through dictionary learning-based interpretable classification of multiplexed immunofluorescence images. [PDF]

Phys Med Biol, 2022
Krishnan SN, Barua S, Frankel TL, Rao A.
europepmc   +1 more source

Does AI at Work Increase Stress? Text Mining Social Media About Human–AI Team Processes and AI Control

Journal of Organizational Behavior, EarlyView.
ABSTRACT With rising use of artificial intelligence (AI) in organizations, alongside increasing mental health issues, we seek to understand how AI use affects human stress. Drawing on the automation–augmentation perspective, we propose that AI control over decision‐making thwarts human autonomy and thus contributes to stress.
Florian Klonek, Sharon Parker
wiley   +1 more source