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Shile Qi
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2020 – today
- 2024
- [j6]Xuyun Wen, Mengting Yang, Shile Qi, Xia Wu, Daoqiang Zhang:
Automated individual cortical parcellation via consensus graph representation learning. NeuroImage 293: 120616 (2024) - 2023
- [j5]Wei Shao, Jianxin Liu, Yingli Zuo, Shile Qi, Honghai Hong, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang:
FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers. IEEE Trans. Medical Imaging 42(9): 2552-2565 (2023) - [c8]Mengting Yang, Li-Ming Hsu, Shile Qi, Daoqiang Zhang, Xuyun Wen:
A Multi-View Clustering-Based Method for Individual and Group Cortical Parcellations with Resting-State fMRI. ISBI 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
- [c7]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 - [c6]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) - [c5]Armin Iraji, Noah Lewis, Ashkan Faghiri, Zening Fu, Thomas DeRamus, Anees Abrol, Shile Qi, Vince D. Calhoun:
Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and Voxels. ISBI 2020: 1698-1701
2010 – 2019
- 2019
- [c4]Tiantian Li, Zening Fu, Xia Liu, Shile Qi, Vince D. Calhoun, Jing Sui:
Multimodal Neuroimaging Patterns Associated with Social Responsiveness Impairment in Autism: A Replication Study. ISBI 2019: 409-413 - 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) - [j1]Shile Qi, Vince D. Calhoun, Theo G. M. van Erp, Juan R. Bustillo, Eswar Damaraju, Jessica A. Turner, Yuhui Du, Jian Yang, Jiayu Chen, Qingbao Yu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Tianzi Jiang, Jing Sui:
Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia. IEEE Trans. Medical Imaging 37(1): 93-105 (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
- [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 - 2016
- [c1]Shile Qi, Vince D. Calhoun, Theo G. M. van Erp, Eswar Damaraju, Juan R. Bustillo, Yuhui Du, Jessica A. Turner, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, First Birn, Tianzi Jiang, Jing Sui:
Supervised multimodal fusion and its application in searching joint neuromarkers of working memory deficits in schizophrenia. EMBC 2016: 4021-4026
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last updated on 2024-10-07 21:22 CEST by the dblp team
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