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Wei Zhang

Assistant Professor

  • 1201 Goss Lane Augusta

    30901 Augusta

    United States

Calculated based on number of publications stored in Pure and citations from Scopus
20152023

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  • 2021

    Modeling hierarchical spatial and temporal patterns of naturalistic fmri volume via volumetric deep belief network with neural architecture search

    Ren, Y., Tao, Z., Zhang, W. & Liu, T., Apr 13 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 130-134 5 p. 9433811. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    3 Scopus citations
  • 2020

    Identifying Hierarchical Individual Functional Network under Naturalistic Paradigm via Two-stage DBN with Neural Architecture Search

    Tao, Z., Ren, Y., Zhang, W. & Liu, T., Dec 5 2020, ISICDM 2020 - Conference Proceedings of the 4th International Symposium on Image Computing and Digital Medicine. Association for Computing Machinery, p. 130-134 5 p. 3451450. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Scopus citations

  • Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition

    Li, Q., Zhang, W., Lv, J., Wu, X. & Liu, T., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 377-386 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12267 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    4 Scopus citations

  • Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search

    Dai, H., Ge, F., Li, Q., Zhang, W. & Liu, T., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1399-1403 5 p. 9098574. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    8 Scopus citations
  • 2019

    Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder

    Zhao, S., Cui, Y., Chen, Y., Zhang, X., Zhang, W., Liu, H., Han, J., Guo, L., Xie, L. & Liu, T., 2019, Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhu, D., Yan, J., Huang, H., Shen, L., Thompson, P. M., Westin, C-F., Pennec, X., Joshi, S., Nielsen, M., Sommer, S., Fletcher, T. & Durrleman, S. (eds.). Springer, p. 66-74 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11846 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net

    Zhang, W., Zhao, L., Li, Q., Zhao, S., Dong, Q., Jiang, X., Zhang, T. & Liu, T., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 745-753 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11766 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    17 Scopus citations

  • Two-stage spatial temporal deep learning framework for functional brain network modeling

    Zhao, Y., Dai, H., Zhang, W., Ge, F. & Liu, T., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1576-1580 5 p. 8759503. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    11 Scopus citations
  • 2018

    Latent source mining of fMRI data via deep belief network

    Li, L., Hu, X., Huang, H., He, C., Wang, L., Han, J., Quo, L., Zhang, W. & Liu, T., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 595-598 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    4 Scopus citations

  • Modeling 4D FMRI data via spatio-temporal convolutional neural networks (ST-CNN)

    Zhao, Y., Li, X., Zhang, W., Zhao, S., Makkie, M., Zhang, M., Li, Q. & Liu, T., 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Frangi, A. F., Davatzikos, C., Fichtinger, G., Alberola-López, C. & Schnabel, J. A. (eds.). Springer Verlag, p. 181-189 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11072 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    31 Scopus citations

  • Modeling resting state fMRI data via longitudinal supervised stochastic coordinate coding

    Zhang, W., Lv, J., Zhang, S., Zhao, Y. & Liu, T., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 127-131 5 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    4 Scopus citations
  • 2017

    A novel framework for groupwise registration of fMRI images based on common functional networks

    Zhao, Y., Zhang, S., Chen, H., Zhang, W., Lv, J., Jiang, X., Shen, D. & Liu, T., Jun 15 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, p. 485-489 5 p. 7950566. (Proceedings - International Symposium on Biomedical Imaging).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    2 Scopus citations
  • 2016

    Modeling functional dynamics of cortical gyri and sulci

    Jiang, X., Li, X., Lv, J., Zhao, S., Zhang, S., Zhang, W., Zhang, T. & Liu, T., 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Ourselin, S., Joskowicz, L., Sabuncu, M. R., Wells, W. & Unal, G. (eds.). Springer Verlag, p. 19-27 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9900 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    6 Scopus citations
  • 2015

    Signal sampling for efficient sparse representation of resting state FMRI data

    Ge, B., Wang, J., Lv, J., Zhang, S., Zhao, S., Zhang, W., Zhao, Q., Li, X., Jiang, X., Han, J., Guo, L. & Liu, T., Jul 21 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society, p. 1360-1363 4 p. 7164128. (Proceedings - International Symposium on Biomedical Imaging; vol. 2015-July).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Scopus citations