Journals

  1. Automatic Recognition of Holistic Functional Brain Networks Using Iteratively Optimized Convolutional Neural Networks (IO-CNN) with Weak Label Initialization
    Yu Zhao, Fangfei Ge, Tianming Liu. Med Image Anal. 2018 Jul;47:111-126. doi: 10.1016/j.media.2018.04.002.

  2. Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder
    Yu Zhao, Qinglin Dong, Hanbo Chen, Armin Iraji, Yujie Li, Milad Makkie, Zhifeng Kou, Tianming Liu. Medical Image Analysis, 2017. vol. 42, pp 200-211

  3. Automatic Recognition of fMRI-derived Functional Networks using 3D Convolutional Neural Networks
    Yu Zhao, Qinglin Dong, Shu Zhang, Wei Zhang, Hanbo Chen, Xi Jiang, Lei Guo, Xintao Hu, Junwei Han, Tianming Liu. IEEE TBME, 2017. vol.pp(99), pp 1-1

  4. Connectome-scale Group-wise Consistent Resting-state Network Analysis in Autism Spectrum Disorder
    Yu Zhao*, Hanbo Chen*, Yujie Li, Jinglei Lv, Xi Jiang, Fangfei Ge, Tuo Zhang, Shu Zhang, Bao Ge, Cheng Lyu, Shijie Zhao, Junwei Han, Lei Guo, Tianming Liu. NeuroImage: Clinical, 2016. vol.12, pp 23-33

Conferences

  1. Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks
    Yu Zhao, Shu Liao, Yimo Guo, Liang Zhao, Zhennan Yan, Gerardo Hermosillo, Tianming Liu, Xiang Zhou, Yiqiang Zhan. accepted, MICCAI 2018.

  2. Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)
    Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu. accepted, MICCAI 2018.

  3. 3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls
    Yu Zhao, Fangfei Ge, Tianming Liu. accepted, MICCAI 2018.

  4. Template-guided Functional Network Identification via Supervised Dictionary Learning
    Yu Zhao*, Xiang Li*, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu, ISBI, 2017, DOI: 10.1109/ISBI.2017.7950471

  5. 3D Functional Brain Network Classification using Convolutional Neural Networks
    Dehua Ren*, Yu Zhao*, Hanbo Chen, Qinglin Dong, Jinglei Lv, Tianming Liu, ISBI, 2017, DOI: 10.1109/ISBI.2017.7950736

  6. A Novel Framework for Groupwise Registration of fMRI Images based on Common Functional Networks
    Yu Zhao*, Shu Zhang, Hanbo Chen, Wei Zhang, Jinglei Lv, Dinggang Shen, Tianming Liu, ISBI, 2017, DOI: 10.1109/ISBI.2017.7950566

Coauthored Papers

  1. Modeling Task fMRI Data via Deep Convolutional Autoencoder
    Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu. IEEE TMI, 2017. In Press

  2. HAFNI-Enabled Largescale Platform for Neuroimaging Informatics (HELPNI)
    Milad Makkie, Shijie Zhao, Xi Jiang, Jinglei Lv, Yu Zhao Bao Ge, Xiang Li, Junwei Han, Tianming Liu Brain Informatics, 2015. vol. 2(4), pp. 1-17

  3. Optimization of Large-scale Mouse Brain Connectome via Joint Evaluation of DTI and Neuron Tracing Data
    Hanbo Chen, Tao Liu, Yu Zhao Tuo Zhang, Yujie Li, Meng Li, Hongmiao Zhang, Hui Kuang, Lei Guo, Joe Tsien, Tianming Liu NeuroImage, 2015. vol. 115, pp. 202 - 213.

  4. Supervised Dictionary Learning for Inferring Concurrent Brain Networks
    Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Yu Zhao Bao Ge, Lei Guo, Tianming Liu IEEE Transactions on Medical Imaging, 2015. vol. 34(10), pp. 2036-45.

  5. Construct and Assess Multimodal Mouse Brain Connectomes via Joint Modeling of Multi-scale DTI and Neuron Tracer Data
    Hanbo Chen, Yu Zhao Tuo Zhang, Hongmiao Zhang, Hui Kuang, Meng Li, Joe Z. Tsien, Tianming Liu MICCAI, LNCS, 2014. vol. 8675, pp. 273-280.

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