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A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity.

D. Yao, J. Sui, M. Wang, E. Yang, Y. Jiaerken, N. Luo, P. Yap, M. Liu, and D. Shen. IEEE Trans. Medical Imaging, 40 (4): 1279-1289 (2021)

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Yang Yang

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Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search.C. Deng, E. Yang, T. Liu, and D. Tao. IEEE Trans. Neural Networks Learn. Syst., 31 (6): 2189-2201 (2020)Deep Factor Regression For Computer-Aided Analysis of Major Depressive Disorders With Structural MRI Data.E. Yang, L. Wang, D. Steffens, G. Potter, and M. Liu. ISBI, page 208-211. IEEE, (2021)Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network.D. Yao, E. Yang, L. Sun, J. Sui, and M. Liu. PRIME@MICCAI, volume 12928 of Lecture Notes in Computer Science, page 157-167. Springer, (2021)A Realistic and Optimized V2V Communication System for Taxicabs.Y. Wang, E. Yang, W. Zheng, L. Huang, H. Liu, and B. Liang. ICDCS, page 139-148. IEEE Computer Society, (2016)Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data.H. Guan, E. Yang, P. Yap, D. Shen, and M. Liu. DART/DCL@MICCAI, volume 12444 of Lecture Notes in Computer Science, page 31-40. Springer, (2020)MSR: Making Self-supervised learning Robust to Aggressive Augmentations.Y. Bai, E. Yang, Z. Wang, Y. Du, B. Han, C. Deng, D. Wang, and T. Liu. CoRR, (2022)Bilateral Relation Distillation for Weakly Supervised Temporal Action Localization.Z. Xu, K. Wei, E. Yang, C. Deng, and W. Liu. IEEE Trans. Pattern Anal. Mach. Intell., 45 (10): 11458-11471 (October 2023)Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI.D. Yao, E. Yang, H. Guan, J. Sui, Z. Zhang, and M. Liu. MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 174-184. Springer, (2021)Understanding and Improving Early Stopping for Learning with Noisy Labels.Y. Bai, E. Yang, B. Han, Y. Yang, J. Li, Y. Mao, G. Niu, and T. Liu. NeurIPS, page 24392-24403. (2021)A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity.D. Yao, J. Sui, M. Wang, E. Yang, Y. Jiaerken, N. Luo, P. Yap, M. Liu, and D. Shen. IEEE Trans. Medical Imaging, 40 (4): 1279-1289 (2021)

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Disambiguation of "Yang, Erkun"

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A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity.

Please choose a person to relate this publication to

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yang, Erkun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity.

Please choose a person to relate this publication to

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Yang Yang

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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Chicago
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A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity.