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Dan Nguyen

Calculated based on number of publications stored in Pure and citations from Scopus
20132024

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  • 2023

    Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement

    Wang, A., Bai, T., Nguyen, D. & Jiang, S., 2023, Head and Neck Tumor Segmentation and Outcome Prediction - 3rd Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Proceedings. Andrearczyk, V., Oreiller, V., Depeursinge, A. & Hatt, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 54-60 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13626 LNCS).

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

    1 Scopus citations
  • 2019

    A novel deep learning framework for standardizing the label of OARs in CT

    Yang, Q., Chao, H., Nguyen, D. & Jiang, S., 2019, Artificial Intelligence in Radiation Therapy - 1st International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Proceedings. Nguyen, D., Jiang, S. & Xing, L. (eds.). Springer, p. 52-60 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11850 LNCS).

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

    8 Scopus citations

  • Application of deep neural networks for automatic planning in radiation oncology treatments

    Barragán-Montero, A. M., Nguyen, D., Lu, W., Lin, M., Geets, X., Sterpin, E. & Jiang, S., 2019, ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN (i6doc.com), p. 161-166 6 p. (ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

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

    2 Scopus citations

  • Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation

    Jia, X., Wang, S., Liang, X., Balagopal, A., Nguyen, D., Yang, M., Wang, Z., Ji, J. X., Qian, X. & Jiang, S., 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. 567-575 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11769 LNCS).

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

    Open Access
    12 Scopus citations

  • Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning

    Nguyen, D., Barkousaraie, A. S., Shen, C., Jia, X. & Jiang, S., 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. 59-67 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11769 LNCS).

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

    Open Access
    17 Scopus citations

  • Individualized 3D dose distribution prediction using deep learning

    Ma, J., Bai, T., Nguyen, D., Folkerts, M., Jia, X., Lu, W., Zhou, L. & Jiang, S., 2019, Artificial Intelligence in Radiation Therapy - 1st International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Proceedings. Nguyen, D., Jiang, S. & Xing, L. (eds.). Springer, p. 110-118 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11850 LNCS).

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

    7 Scopus citations

  • Using supervised learning and guided monte carlo tree search for beam orientation optimization in radiation therapy

    Sadeghnejad Barkousaraie, A., Ogunmolu, O., Jiang, S. & Nguyen, D., 2019, Artificial Intelligence in Radiation Therapy - 1st International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Proceedings. Nguyen, D., Jiang, S. & Xing, L. (eds.). Springer, p. 1-9 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11850 LNCS).

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

    1 Scopus citations