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Expand Up @@ -278,88 +278,88 @@ <h1>Publications</h1>
<i>2021</i>
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[103] Xiaowei Yu, Norman Scheel, Lu Zhang, David C Zhu, Rong Zhang, <strong>Dajiang Zhu</strong>, <i>"Free water in T2 FLAIR white matter hyperintensity lesions" </i>
[103] Xiaowei Yu, Norman Scheel, Lu Zhang, David C Zhu, Rong Zhang, <strong>Dajiang Zhu</strong>, <a href="https://alz-journals.onlinelibrary.wiley.com/doi/full/10.1002/alz.057398" style="color: blue;"><i>"Free water in T2 FLAIR white matter hyperintensity lesions" </i>
, Alzheimer's & Dementia , 2021
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[102] Lin Zhao, Haixing Dai, Xi Jiang, Tuo Zhang, <strong>Dajiang Zhu</strong>, Tianming Liu, <i>"Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder"</i>
[102] Lin Zhao, Haixing Dai, Xi Jiang, Tuo Zhang, <strong>Dajiang Zhu</strong>, Tianming Liu, <a href="https://link.springer.com/chapter/10.1007/978-3-030-87234-2_66" style="color: blue;"><i>"Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder"</i></a>,
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
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[101] Lu Zhang, Li Wang, <strong>Dajiang Zhu</strong>, <i>"Deep fusion of brain structure-function in mild cognitive impairment" </i>
[101] Lu Zhang, Li Wang, <strong>Dajiang Zhu</strong>, <a href="https://www.sciencedirect.com/science/article/pii/S1361841521001286" style="color: blue;"><i>"Deep fusion of brain structure-function in mild cognitive impairment" </i></a>,
, Medical image analysis, 72: 102082, 2021
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[100] Yanjun Lyu, Xiaowei Yu, Lu Zhang, <strong>Dajiang Zhu</strong>, <i>"Classification of Mild Cognitive Impairment by Fusing Neuroimaging and Gene Expression Data: Classification of Mild Cognitive Impairment by Fusing Neuroimaging and Gene Expression Data." </i>
[100] Yanjun Lyu, Xiaowei Yu, Lu Zhang, <strong>Dajiang Zhu</strong>, <a href="https://dl.acm.org/doi/abs/10.1145/3453892.3453906" style="color: blue;"><i>"Classification of Mild Cognitive Impairment by Fusing Neuroimaging and Gene Expression Data: Classification of Mild Cognitive Impairment by Fusing Neuroimaging and Gene Expression Data" </i></a>,
, The 14th PErvasive Technologies Related to Assistive Environments Conference, 2021
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[99] van Eijk, Liza, <strong>Dajiang Zhu</strong>, Baptiste Couvy-Duchesne, Lachlan T. Strike, Anthony J. Lee, Narelle K. Hansell, Paul Thompson, et al., <i>"Are Sex Differences in Human Brain Structure Associated with Sex Differences in Behaviour?" </i>
[99] van Eijk, Liza, <strong>Dajiang Zhu</strong>, Baptiste Couvy-Duchesne, Lachlan T. Strike, Anthony J. Lee, Narelle K. Hansell, Paul Thompson, et al., <a href="https://journals.sagepub.com/doi/full/10.1177/0956797621996664" style="color: blue;"><i>"Are Sex Differences in Human Brain Structure Associated with Sex Differences in Behaviour?" </i></a>,
Psychological Science, 2021
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<i>2020</i>
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[98] Lu Zhang, Li Wang, <strong>Dajiang Zhu</strong>, <i>"Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN based Generative Adversarial Network."</i>
[98] Lu Zhang, Li Wang, <strong>Dajiang Zhu</strong>, <a href="https://link.springer.com/chapter/10.1007/978-3-030-59728-3_6" style="color: blue;"><i>"Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN based Generative Adversarial Network"</i></a>,
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2020 <b style="color:red">(Prestigious Young Scientist Award)</b>
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[97] Li Wang, Lu Zhang, <strong>Dajiang Zhu</strong>, <i>"Learning Latent Structure Over Deep Fusion Model Of Mild Cognitive Impairment."</i>
[97] Li Wang, Lu Zhang, <strong>Dajiang Zhu</strong>, <a href="https://ieeexplore.ieee.org/abstract/document/9098357" style="color: blue;"><i>"Learning Latent Structure Over Deep Fusion Model Of Mild Cognitive Impairment"</i></a>,
IEEE International Symposium on Biomedical Imaging (ISBI'20), 2020
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[96] Lu Zhang, Li Wang, <strong>Dajiang Zhu</strong>, <i>"Jointly Analyzing Alzheimer's Disease Related Structure-Function Using Deep Cross-Model Attention Network." </i>
[96] Lu Zhang, Li Wang, <strong>Dajiang Zhu</strong>, <a href="https://ieeexplore.ieee.org/abstract/document/9098638" style="color: blue;"><i>"Jointly Analyzing Alzheimer's Disease Related Structure-Function Using Deep Cross-Model Attention Network" </i></a>,
, IEEE International Symposium on Biomedical Imaging (ISBI'20), 2020 <b style="color:red">(Oral Presentation)</b>
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<i>2019</i>
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[95] Lu Zhang, Akib Zaman, Li Wang, Jingwen Yan, <strong>Dajiang Zhu</strong>, <i>"A Cascaded Multi-Modality Analysis in Mild Cognitive Impairment."</i>
[95] Lu Zhang, Akib Zaman, Li Wang, Jingwen Yan, <strong>Dajiang Zhu</strong>, <a href="https://link.springer.com/chapter/10.1007/978-3-030-32692-0_64" style="color: blue;"><i>"A Cascaded Multi-Modality Analysis in Mild Cognitive Impairment"</i></a>
10th International Workshop on Machine Learning in Medical Imaging (MLMI 2019), in Conjunction with MICCAI, 2019
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[94] Akib Zaman, Lu Zhang, Jingwen Yan, <strong>Dajiang Zhu</strong>,
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<a href="https://link.springer.com/chapter/10.1007/978-3-030-37969-8_1" style="color: blue;"><i>
"Multi-Modal Image Prediction via Spatial Hybrid U-Net"
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</i></a>

,
1st International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2019), in Conjunction with MICCAI, 2019 <b style="color:red">(Best Paper Award)</b>
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[93] Li Wang, Paul M. Thompson and <strong>Dajiang Zhu</strong>, <i>"Analyzing Mild Cognitive Impairment Progression via Multi-view Structural Learning."</i>
[93] Li Wang, Paul M. Thompson and <strong>Dajiang Zhu</strong>, <a href="https://link.springer.com/chapter/10.1007/978-3-030-20351-1_51" style="color: blue;"><i>"Analyzing Mild Cognitive Impairment Progression via Multi-view Structural Learning"</i></a>,
International Conference on Information Processing in Medical Imaging (IPMI'19), 2019
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[92] Li Wang, Lu Zhang and <strong>Dajiang Zhu</strong>, <i>"Accessing Latent Connectome of Mild Cognitive Impairment via Discriminant Structure Learning."</i>
[92] Li Wang, Lu Zhang and <strong>Dajiang Zhu</strong>, <a href="https://ieeexplore.ieee.org/abstract/document/8759341" style="color: blue;"><i>"Accessing Latent Connectome of Mild Cognitive Impairment via Discriminant Structure Learning"</i></a>,
IEEE International Symposium on Biomedical Imaging (ISBI'19), 2019
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[91] Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, <strong>Dajiang Zhu</strong>, Tianmig Liu, <i>"Discovering Hierarchical Common Brain Networks via Multimodal Deep Belief Network."</i>
[91] Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, <strong>Dajiang Zhu</strong>, Tianmig Liu, <a href="https://www.sciencedirect.com/science/article/pii/S1361841518308119" style="color: blue;"><i>"Discovering Hierarchical Common Brain Networks via Multimodal Deep Belief Network"</i></a>,
Medical Image Analysis. 2019 <b style="color:red">(impact factor 5.356)</b>
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<i>2018</i>
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[90] Shu Zhang, Tianming Liu, <strong>Dajiang Zhu</strong>, <i>"Exploring Fiber Skeletons via Joint Representation of Functional Networks and Structural Connectivity."</i>
[90] Shu Zhang, Tianming Liu, <strong>Dajiang Zhu</strong>, <a href="https://link.springer.com/chapter/10.1007/978-3-030-00931-1_41" style="color: blue;"><i>"Exploring Fiber Skeletons via Joint Representation of Functional Networks and Structural Connectivity"</i></a>,
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2018
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[89] <strong>Dajiang Zhu</strong>, Li Wang, <i>"Exploring latent structures of Alzheimer's disease via structure learning."</i>
[89] <strong>Dajiang Zhu</strong>, Li Wang, <a href="https://ieeexplore.ieee.org/abstract/document/8363633" style="color: blue;"><i>"Exploring latent structures of Alzheimer's disease via structure learning"</i></a>,
IEEE 15th International Symposium on Biomedical Imaging (ISBI) 2018
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[88] Li Wang, <strong>Dajiang Zhu</strong>, Yujie Chi, <i>"Efficient Test-Time Predictor Learning with Group-Based Budget."</i>
[88] Li Wang, <strong>Dajiang Zhu</strong>, Yujie Chi, <a href="https://ojs.aaai.org/index.php/AAAI/article/view/11673" style="color: blue;"><i>"Efficient Test-Time Predictor Learning with Group-Based Budget"</i></a>,
In Thirty-Second AAAI Conference on Artificial Intelligence (AAAI) 2018
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[87] Wei Zhang, Jinglei Lv, Xiang Li, <strong>Dajiang Zhu</strong>, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, JiepingYe, Dewen Hu, Tianming Liu, <i>"Experimental comparisons of sparse dictionary learning and independent component analysis for brain network inference from fMRI data."</i>
[87] Wei Zhang, Jinglei Lv, Xiang Li, <strong>Dajiang Zhu</strong>, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, JiepingYe, Dewen Hu, Tianming Liu, <a href="https://ieeexplore.ieee.org/abstract/document/8360448" style="color: blue;"><i>"Experimental comparisons of sparse dictionary learning and independent component analysis for brain network inference from fMRI data"</i></a>,
IEEE Transactions on Biomedical Engineering, 2019 (impact factor 4.288)
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