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2020 – today
- 2022
[j4]Nan Wang, Dongren Yao, Lizhuang Ma, Mingxia Liu:
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI. Medical Image Anal. 75: 102279 (2022)- [c14]Erkun Yang, Dongren Yao, Tongliang Liu
, Cheng Deng:
Mutual Quantization for Cross-Modal Search with Noisy Labels. CVPR 2022: 7541-7550 - 2021
- [j3]Erkun Yang, Mingxia Liu, Dongren Yao, Bing Cao, Chunfeng Lian, Pew-Thian Yap, Dinggang Shen:
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval. IEEE Trans. Medical Imaging 40(2): 503-513 (2021) - [j2]Dongren Yao, Jing Sui, Mingliang Wang, Erkun Yang, Yeerfan Jiaerken, Na Luo, Pew-Thian Yap, Mingxia Liu, Dinggang Shen:
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. IEEE Trans. Medical Imaging 40(4): 1279-1289 (2021) - [c13]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 - [c12]Na Luo, Xiangsheng Luo, Dongren Yao, Vince D. Calhoun, Li Sun, Jing Sui:
Investigating ADHD subtypes in children using temporal dynamics of the electroencephalogram (EEG) microstates *. EMBC 2021: 4358-4361 - [c11]Hao Guan, Li Wang, Dongren Yao, Andrea Bozoki, Mingxia Liu:
Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empirical Study. MLMI@MICCAI 2021: 10-19 - [c10]Dongren Yao, Erkun Yang, Li Sun, Jing Sui, Mingxia Liu:
Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network. PRIME@MICCAI 2021: 157-167 - [c9]Dongren Yao, Erkun Yang, Hao Guan, Jing Sui, Zhizhong Zhang, Mingxia Liu:
Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI. MICCAI (5) 2021: 174-184 - 2020
- [j1]Mingliang Wang, Chunfeng Lian, Dongren Yao, Daoqiang Zhang, Mingxia Liu, Dinggang Shen:
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. IEEE Trans. Biomed. Eng. 67(8): 2241-2252 (2020) - [c8]Dongren Yao, Jing Sui, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. MLMI@MICCAI 2020: 1-10 - [c7]Erkun Yang, Dongren Yao, Bing Cao, Hao Guan, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. MICCAI (1) 2020: 191-201
2010 – 2019
- 2019
- [c6]Dongren Yao, Hailun Sun, Xiaojie Guo, Vince D. Calhoun, Li Sun, Jing Sui:
ADHD Classification Within and Cross Cohort Using an Ensembled Feature Selection Framework. ISBI 2019: 1265-1269 - [c5]Dongren Yao, Mingxia Liu, Mingliang Wang, Chunfeng Lian, Jie Wei, Li Sun, Jing Sui, Dinggang Shen:
Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI. GLMI@MICCAI 2019: 70-78 - 2018
- [c4]Dongren Yao, Xiaojie Guo, Qihua Zhao, Lu Liu, Qingjiu Cao, Yufeng Wang, Vince D. Calhoun, Li Sun, Jing Sui:
Discriminating ADHD From Healthy Controls Using a Novel Feature Selection Method Based on Relative Importance and Ensemble Learning. EMBC 2018: 4632-4635 - 2015
- [c3]Zhichang Zhang, Dongren Yao, Yali Pang, Xiaoyong Lu:
Chinese Textual Entailment Recognition Enhanced with Word Embedding. CCL 2015: 89-100 - 2014
- [c2]Zhichang Zhang, Dongren Yao, Songyi Chen, Huifang Ma:
Chinese Textual Entailment Recognition Based on Syntactic Tree Clipping. CCL 2014: 83-94 - [c1]Zhichang Zhang, Dongren Yao, Longlong Mao, Songyi Chen:
NWNU Minimum Information Recognizing Entailment System for NTCIR-11 RITE-3 Task. NTCIR 2014
Coauthor Index
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