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Rongtao Jiang

Showing results (1-10 of 81) with videos related to

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Biological Psychiatry|May 16, 2025
Unlocking Alzheimer's Disease Heterogeneity: The Role of Normative Modeling, Dynamic Connectivity, and BeyondQian Wang, Shile Qi, Rongtao Jiang, et al.
Biological Psychiatry|April 28, 2020
Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and PromisesJing Sui, Rongtao Jiang, Juan Bustillo, et al.
Nature Communications|February 28, 2024
Data leakage inflates prediction performance in connectome-based machine learning modelsMatthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, et al.
Journal of Neuroscience Methods|June 26, 2021
Brain imaging-based machine learning in autism spectrum disorder: methods and applicationsMing Xu, Vince Calhoun, Rongtao Jiang, et al.
Biorxiv : the Preprint Server for Biology|January 18, 2024
The effects of data leakage on connectome-based machine learning modelsMatthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, et al.
IEEE Transactions on Bio-Medical Engineering|December 7, 2023
Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream TasksWeizheng Yan, Zening Fu, Rongtao Jiang, et al.
IEEE Signal Processing Magazine|January 30, 2023
Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimagingRongtao Jiang, Choong-Wan Woo, Shile Qi, et al.
Cell Death Discovery|October 6, 2021
Ferroptosis in liver disease: new insights into disease mechanismsJing Wu, Yi Wang, Rongtao Jiang, et al.
Developmental Cognitive Neuroscience|October 24, 2024
Brain-phenotype predictions of language and executive function can survive across diverse real-world data: Dataset shifts in developmental populationsBrendan D Adkinson, Matthew Rosenblatt, Javid Dadashkarimi, et al.
Biorxiv : the Preprint Server for Biology|February 8, 2024
Brain-phenotype predictions can survive across diverse real-world dataBrendan D Adkinson, Matthew Rosenblatt, Javid Dadashkarimi, et al.
Pageof 9

Showing results (1-10 of 81) with videos related to

Sort By:
Pageof 9
Biological Psychiatry|May 16, 2025
Unlocking Alzheimer's Disease Heterogeneity: The Role of Normative Modeling, Dynamic Connectivity, and BeyondQian Wang, Shile Qi, Rongtao Jiang, et al.
Biological Psychiatry|April 28, 2020
Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and PromisesJing Sui, Rongtao Jiang, Juan Bustillo, et al.
Nature Communications|February 28, 2024
Data leakage inflates prediction performance in connectome-based machine learning modelsMatthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, et al.
Journal of Neuroscience Methods|June 26, 2021
Brain imaging-based machine learning in autism spectrum disorder: methods and applicationsMing Xu, Vince Calhoun, Rongtao Jiang, et al.
Biorxiv : the Preprint Server for Biology|January 18, 2024
The effects of data leakage on connectome-based machine learning modelsMatthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, et al.
IEEE Transactions on Bio-Medical Engineering|December 7, 2023
Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream TasksWeizheng Yan, Zening Fu, Rongtao Jiang, et al.
IEEE Signal Processing Magazine|January 30, 2023
Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimagingRongtao Jiang, Choong-Wan Woo, Shile Qi, et al.
Cell Death Discovery|October 6, 2021
Ferroptosis in liver disease: new insights into disease mechanismsJing Wu, Yi Wang, Rongtao Jiang, et al.
Developmental Cognitive Neuroscience|October 24, 2024
Brain-phenotype predictions of language and executive function can survive across diverse real-world data: Dataset shifts in developmental populationsBrendan D Adkinson, Matthew Rosenblatt, Javid Dadashkarimi, et al.
Biorxiv : the Preprint Server for Biology|February 8, 2024
Brain-phenotype predictions can survive across diverse real-world dataBrendan D Adkinson, Matthew Rosenblatt, Javid Dadashkarimi, et al.
Pageof 9