Yap, Pew-Thian

Federated learning for medical image analysis: A survey

Guan, H., Yap, P.-T., Bozoki, A., & Liu, M. (2024) · Pattern Recognition

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 518

Birnet: Brain image registration using dual-supervised fully convolutional networks

Fan, J., Cao, X., Yap, P.-T., & Shen, D. (2019) · Medical Image Analysis

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 297

Development Trends of White Matter Connectivity in the First Years of Life

Yap, P.-T., Fan, Y., Chen, Y., Gilmore, J. H., Lin, W., & Shen, D. (2011) · PLoS ONE

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 190

Diagnosis of autism spectrum disorders using regional and interregional morphological features: Diagnosis of ASD Using Morphological Features

Wee, C.-Y., Wang, L., Shi, F., Yap, P.-T., & Shen, D. (2014) · Human Brain Mapping

Autism Spectrum Disorder ResearchFunctional Brain Connectivity Studies

Cited by 89

Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion

Thung, K.-H., Yap, P.-T., Adeli, E., Lee, S.-W., & Shen, D. (2018) · Medical Image Analysis

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 89

Multi-stage Diagnosis of Alzheimer’s Disease with Incomplete Multimodal Data via Multi-task Deep Learning

Thung, K.-H., Yap, P.-T., & Shen, D. (2017) · Lecture Notes in Computer Science

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 63

Source-Free Unsupervised Domain Adaptation: A Survey

Fang, Y., Yap, P.-T., Lin, W., Zhu, H., & Liu, M. (2023) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 15