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Hai Shu

Assistant Professor

    20152020

    Research output per year

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    Research Output

    • 4 Article
    • 2 Conference contribution

    D-CCA: A Decomposition-Based Canonical Correlation Analysis for High-Dimensional Datasets

    Shu, H., Wang, X. & Zhu, H., Jan 2 2020, In : Journal of the American Statistical Association. 115, 529, p. 292-306 15 p.

    Research output: Contribution to journalArticle

  • Assessment of network module identification across complex diseases

    The DREAM Module Identification Challenge Consortium, Sep 1 2019, In : Nature methods. 16, 9, p. 843-852 10 p.

    Research output: Contribution to journalArticle

    Open Access
  • Automatic brain tumor segmentation with domain adaptation

    Dai, L., Li, T., Shu, H., Zhong, L., Shen, H. & Zhu, H., Jan 1 2019, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. Reyes, M., Bakas, S., van Walsum, T., Crimi, A., Keyvan, F. & Kuijf, H. (eds.). Springer Verlag, p. 380-392 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11384 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Estimation of large covariance and precision matrices from temporally dependent observations

    Shu, H. & Nan, B., Jan 2019, In : Annals of Statistics. 47, 3, p. 1321-1350 30 p.

    Research output: Contribution to journalArticle

  • A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation

    Li, T., Zhou, F., Zhu, Z., Shu, H. & Zhu, H., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 692-695 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution