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Rongtao Jiang
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2020 – today
- 2024
- [j7]Weizheng Yan, Zening Fu, Rongtao Jiang, Jing Sui, Vince D. Calhoun:
Maximum Classifier Discrepancy Generative Adversarial Network for Jointly Harmonizing Scanner Effects and Improving Reproducibility of Downstream Tasks. IEEE Trans. Biomed. Eng. 71(4): 1170-1178 (2024) - [c8]Qinghao Liang, Brendan Adkinson, Rongtao Jiang, Dustin Scheinost:
Overcoming Atlas Heterogeneity in Federated Learning for Cross-Site Connectome-Based Predictive Modeling. MICCAI (10) 2024: 579-588 - 2023
- [j6]Javid Dadashkarimi, Amin Karbasi, Qinghao Liang, Matthew Rosenblatt, Stephanie Noble, Maya Foster, Raimundo X. Rodriguez, Brendan Adkinson, Jean Ye, Huili Sun, Chris Camp, Michael Farruggia, Link Tejavibulya, Wei Dai, Rongtao Jiang, Angeliki Pollatou, Dustin Scheinost:
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available. Medical Image Anal. 88: 102864 (2023) - [j5]Xiang Li, Sheri L. Towe, Ryan P. Bell, Rongtao Jiang, Shana A. Hall, Vince D. Calhoun, Christina S. Meade, Jing Sui:
The Individualized Prediction of Neurocognitive Function in People Living With HIV Based on Clinical and Multimodal Connectome Data. IEEE J. Biomed. Health Informatics 27(4): 2094-2104 (2023) - [c7]Xiang Li, Ming Xu, Rongtao Jiang, Xuemei Li, Vince D. Calhoun, Xinyu Zhou, Jing Sui:
ICA-based Individualized Differential Structure Similarity Networks for Predicting Symptom Scores in Adolescents with Major Depressive Disorder. EMBC 2023: 1-5 - 2022
- [j4]Rongtao Jiang, Choong-Wan Woo, Shile Qi, Jing Wu, Jing Sui:
Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging. IEEE Signal Process. Mag. 39(4): 107-118 (2022) - 2021
- [c6]Dongmei Zhi, Vince D. Calhoun, Chuanyue Wang, Xianbin Li, Xiaohong Ma, Luxian Lv, Weizheng Yan, Dongren Yao, Shile Qi, Rongtao Jiang, Jianlong Zhao, Xiao Yang, Zheng Lin, Yujin Zhang, Young Chul Chung, Chuanjun Zhuo, Jing Sui:
BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders. EMBC 2021: 1622-1626 - [c5]Min Zhao, Weizheng Yan, Rongtao Xu, Dongmei Zhi, Rongtao Jiang, Tianzi Jiang, Vince D. Calhoun, Jing Sui:
An Attention-Based Hybrid Deep Learning Framework Integrating Temporal Coherence And Dynamics For Discriminating Schizophrenia. ISBI 2021: 118-121 - [c4]Shile Qi, Sergey M. Plis, Robyn L. Miller, Rogers F. Silva, Victor M. Vergara, Rongtao Jiang, Dongmei Zhi, Jing Sui, Vince D. Calhoun:
3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia. ISBI 2021: 1577-1581 - 2020
- [j3]Rongtao Jiang, Nianming Zuo, Judith M. Ford, Shile Qi, Dongmei Zhi, Chuanjun Zhuo, Yong Xu, Zening Fu, Juan R. Bustillo, Jessica A. Turner, Vince D. Calhoun, Jing Sui:
Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships. NeuroImage 207 (2020)
2010 – 2019
- 2018
- [j2]Rongtao Jiang, Vince D. Calhoun, Nianming Zuo, Dongdong Lin, Jin Li, Lingzhong Fan, Shile Qi, Hailun Sun, Zening Fu, Ming Song, Tianzi Jiang, Jing Sui:
Connectome-based individualized prediction of temperament trait scores. NeuroImage 183: 366-374 (2018) - [c3]Dongmei Zhi, Xiaohong Ma, Luxian Lv, Qing Ke, Yongfeng Yang, Xiao Yang, Miao Pan, Shile Qi, Rongtao Jiang, Yuhui Du, Qingbao Yu, Vince D. Calhoun, Tianzi Jiang, Jing Sui:
Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder. EMBC 2018: 558-561 - 2017
- [j1]Xing Meng, Rongtao Jiang, Dongdong Lin, Juan R. Bustillo, Thomas R. Jones, Jiayu Chen, Qingbao Yu, Yuhui Du, Yu Zhang, Tianzi Jiang, Jing Sui, Vince D. Calhoun:
Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data. NeuroImage 145: 218-229 (2017) - [c2]Rongtao Jiang, Shile Qi, Yuhui Du, Weizheng Yan, Vince D. Calhoun, Tianzi Jiang, Jing Sui:
Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity. MLSP 2017: 1-6 - [c1]Weizheng Yan, Sergey M. Plis, Vince D. Calhoun, Shengfeng Liu, Rongtao Jiang, Tian-Zi Jiang, Jing Sui:
Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method. MLSP 2017: 1-6
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last updated on 2024-10-11 18:22 CEST by the dblp team
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