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Role of hippocampal subfields in neurodegenerative disease progression analyzed with a multi-scale attention-based network.
In NeuroImage. Clinical
BACKGROUND AND OBJECTIVE :
METHODS :
RESULTS :
CONCLUSION :
Xu Hongbo, Liu Yan, Wang Ling, Zeng Xiangzhu, Xu Yingying, Wang Zeng
2023-Mar-15
Alzheimer’s disease, Deep learning, Hippocampal subfields, Mild cognitive impairment, Parkinson disease
Hyper-convolutions via implicit kernels for medical image analysis.
In Medical image analysis
Ma Tianyu, Wang Alan Q, Dalca Adrian V, Sabuncu Mert R
2023-Mar-16
Convolutional Neural Networks, Deep Learning, Hyper-networks

Examination of physical activity development in early childhood: protocol for a longitudinal cohort study of mother-toddler dyads.
In BMC pediatrics ; h5-index 44.0
BACKGROUND :
METHODS :
DISCUSSION :
Welch Sarah B, Honegger Kyle, O’Brien Megan, Capan Selin, Kwon Soyang
2023-Mar-20
Accelerometry, Child development, Machine learning, Parenting, Physical activity

dbCNV: deleteriousness-based model to predict pathogenicity of copy number variations.
In BMC genomics ; h5-index 78.0
BACKGROUND :
RESULTS :
CONCLUSION :
Lv Kangqi, Chen Dayang, Xiong Dan, Tang Huamei, Ou Tong, Kan Lijuan, Zhang Xiuming
2023-Mar-20
Copy number variation, Machine learning, Pathogenicity, XGBoost

Robust classification using average correlations as features (ACF).
In BMC bioinformatics
MOTIVATION :
RESULTS :
Schumann Yannis, Neumann Julia E, Neumann Philipp
2023-Mar-20
Classification, Correlation, Machine learning, Missing values, scRNA-seq

Using artificial intelligence to support rapid, mixed-methods analysis: Developing an automated qualitative assistant (AQUA).
In Annals of family medicine
Lennon Robert, Calo William, Miller Erin, Zgierska Aleksandra, Van Scoy Lauren, Fraleigh Robert
2022-Apr-01
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