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Shengxian Ding

Showing results (1-10 of 11) with videos related to

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Cancers|July 29, 2023
Quantifying the Growth of Glioblastoma Tumors Using Multimodal MRI Brain ImagesAnisha Das, Shengxian Ding, Rongjie Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 30, 2022
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge DetectionChao Huang, Shengxian Ding, Shihua Li, et al.
Biometrics|October 29, 2025
Bayesian monotone single-index quantile regression model with bounded response and misaligned functional covariatesShengxian Ding, Debajyoti Sinha, Greg Hajcak, et al.
Frontiers in Neuroscience|October 15, 2025
GenCPM: a toolbox for generalized connectome-based predictive modelingBaijia Xu, Shengxian Ding, Wanwan Xu, et al.
The Annals of Applied Statistics|June 29, 2026
A NOVEL BAYESIAN FRAMEWORK UNCOVERING BRAIN CONNECTIVITY-TO-SHAPE RELATIONSHIP IN PRECLINICAL ALZHEIMER'S DISEASEShengxian Ding, Emily Johns, Anton Orlichenko, et al.
Medrxiv : the Preprint Server for Health Sciences|September 26, 2025
The Mediating Role of Structural Connectivity in Genetic Effects on Functional Brain NetworksSimiao Gao, Shengxian Ding, Xinzhi Zhang, et al.
Medrxiv : the Preprint Server for Health Sciences|September 26, 2025
Intervention on Modifiable Lifestyle and Physiological Factors via Variational Autoencoder Reveals Changes in Functional Connectivity-Mediated Risk for Alzheimer's DiseaseAnton Orlichenko, Shengxian Ding, Emily Johns, et al.
Nature Communications|April 9, 2026
Brain functional-structural gradient coupling reflects development, behavior and genetic influencesSimiao Gao, Zhiling Gu, Shengxian Ding, et al.
Medrxiv : the Preprint Server for Health Sciences|September 26, 2025
Brain Functional-Structural Gradient Coupling Reflects Development, Behavior and Genetic InfluencesSimiao Gao, Zhiling Gu, Shengxian Ding, et al.
Statistics in Medicine|November 12, 2024
Shape Mediation Analysis in Alzheimer's Disease StudiesXingcai Zhou, Miyeon Yeon, Jiangyan Wang, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Cancers|July 29, 2023
Quantifying the Growth of Glioblastoma Tumors Using Multimodal MRI Brain ImagesAnisha Das, Shengxian Ding, Rongjie Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 30, 2022
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge DetectionChao Huang, Shengxian Ding, Shihua Li, et al.
Biometrics|October 29, 2025
Bayesian monotone single-index quantile regression model with bounded response and misaligned functional covariatesShengxian Ding, Debajyoti Sinha, Greg Hajcak, et al.
Frontiers in Neuroscience|October 15, 2025
GenCPM: a toolbox for generalized connectome-based predictive modelingBaijia Xu, Shengxian Ding, Wanwan Xu, et al.
The Annals of Applied Statistics|June 29, 2026
A NOVEL BAYESIAN FRAMEWORK UNCOVERING BRAIN CONNECTIVITY-TO-SHAPE RELATIONSHIP IN PRECLINICAL ALZHEIMER'S DISEASEShengxian Ding, Emily Johns, Anton Orlichenko, et al.
Medrxiv : the Preprint Server for Health Sciences|September 26, 2025
The Mediating Role of Structural Connectivity in Genetic Effects on Functional Brain NetworksSimiao Gao, Shengxian Ding, Xinzhi Zhang, et al.
Medrxiv : the Preprint Server for Health Sciences|September 26, 2025
Intervention on Modifiable Lifestyle and Physiological Factors via Variational Autoencoder Reveals Changes in Functional Connectivity-Mediated Risk for Alzheimer's DiseaseAnton Orlichenko, Shengxian Ding, Emily Johns, et al.
Nature Communications|April 9, 2026
Brain functional-structural gradient coupling reflects development, behavior and genetic influencesSimiao Gao, Zhiling Gu, Shengxian Ding, et al.
Medrxiv : the Preprint Server for Health Sciences|September 26, 2025
Brain Functional-Structural Gradient Coupling Reflects Development, Behavior and Genetic InfluencesSimiao Gao, Zhiling Gu, Shengxian Ding, et al.
Statistics in Medicine|November 12, 2024
Shape Mediation Analysis in Alzheimer's Disease StudiesXingcai Zhou, Miyeon Yeon, Jiangyan Wang, et al.
Pageof 2