Shile Qi

According to our database, Shile Qi authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Automated individual cortical parcellation via consensus graph representation learning.

Xuyun Wen, Mengting Yang, Shile Qi, Xia Wu, Daoqiang Zhang

NeuroImage, 2024

2023

FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers.

Wei Shao, Jianxin Liu, Yingli Zuo, Shile Qi, Honghai Hong, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang

IEEE Trans. Medical Imaging, September, 2023

A Multi-View Clustering-Based Method for Individual and Group Cortical Parcellations with Resting-State fMRI.

Mengting Yang, Li-Ming Hsu, Shile Qi, Daoqiang Zhang, Xuyun Wen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging.

Rongtao Jiang, Choong-Wan Woo, Shile Qi, Jing Wu, Jing Sui

IEEE Signal Process. Mag., 2022

2021

3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia.

Shile Qi, Sergey M. Plis, Robyn L. Miller, Rogers F. Silva, Victor M. Vergara, Rongtao Jiang, Dongmei Zhi, Jing Sui, Vince D. Calhoun

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders.

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships.

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

NeuroImage, 2020

Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and Voxels.

Armin Iraji, Noah Lewis, Ashkan Faghiri, Zening Fu, Thomas DeRamus, Anees Abrol, Shile Qi, Vince D. Calhoun

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Multimodal Neuroimaging Patterns Associated with Social Responsiveness Impairment in Autism: A Replication Study.

Tiantian Li, Zening Fu, Xia Liu, Shile Qi, Vince D. Calhoun, Jing Sui

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia.

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

IEEE Trans. Medical Imaging, 2018

Connectome-based individualized prediction of temperament trait scores.

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

NeuroImage, 2018

Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder.

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

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity.

Rongtao Jiang, Shile Qi, Yuhui Du, Weizheng Yan, Vince D. Calhoun, Tianzi Jiang, Jing Sui

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016

Supervised multimodal fusion and its application in searching joint neuromarkers of working memory deficits in schizophrenia.

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

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016