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Jintao Ren

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  1. 2023
  2. Published
    Towards interactive deep-learning for tumour segmentation in head and neck cancer radiotherapy. / Wei, Zixiang; Ren, Jintao; Korreman, Stine Sofia et al.
    In: Physics and Imaging in Radiation Oncology, Vol. 25, 100408, 01.2023.

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

  3. 2022
  4. Published
    Comparing Deep Learning and Conventional Machine Learning for Outcome Prediction of Head and Neck Cancer in PET/CT. / Huynh, Bao-Ngoc ; Ren, Jintao; Groendahl, Aurora Rosvoll et al.
    Head and Neck Tumor Segmentation and Outcome Prediction - 2nd Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Proceedings: HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Cham: Springer, 2022. p. 318-326 (Lecture Notes in Computer Science, Vol. 13209).

    Research output: Contribution to book/anthology/report/proceeding › Book chapter › Research › peer-review

  5. Published
    PET Normalizations to Improve Deep Learning Auto-Segmentation of Head and Neck Tumors in 3D PET/CT. / Ren, Jintao; Huynh, Bao-Ngoc ; Groendahl, Aurora Rosvoll et al.
    Head and Neck Tumor Segmentation and Outcome Prediction - 2nd Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Proceedings: Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Cham: Springer, 2022. p. 83-91 (Lecture Notes in Computer Science, Vol. 13209).

    Research output: Contribution to book/anthology/report/proceeding › Book chapter › Research › peer-review

  6. Published
    PET Normalizations to Improve Deep Learning Auto-Segmentation of Head and Neck Tumors in 3D PET/CT. / Ren, Jintao; Huynh, Bao Ngoc; Groendahl, Aurora Rosvoll et al.
    Head and Neck Tumor Segmentation and Outcome Prediction - 2nd Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Proceedings. ed. / Vincent Andrearczyk; Valentin Oreiller; Mathieu Hatt; Adrien Depeursinge. Springer Science and Business Media Deutschland GmbH, 2022. p. 83-91 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13209 LNCS).

    Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

  7. Published
    Target coverage and local recurrences after radiotherapy for sinonasal cancer in Denmark 2008–2015. A DAHANCA study. / Sharma, Maja B.; Jensen, Kenneth; Friborg, Jeppe et al.
    In: Acta Oncologica, Vol. 61, No. 2, 2022, p. 120-126.

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

  8. 2021
  9. Published
    Comparing different CT, PET and MRI multi-modality image combinations for deep learning-based head and neck tumor segmentation. / Ren, Jintao; Eriksen, Jesper Grau; Nijkamp, Jasper et al.
    In: Acta Oncologica, Vol. 60, No. 11, 11.2021, p. 1399-1406.

    Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

  10. 2019
  11. Published
    Automatic detection and localization of bone erosion in hand HR-pQCT. / Ren, Jintao; Arash Moaddel, H.; Hauge, Ellen M. et al.
    Medical Imaging 2019: Computer-Aided Diagnosis. ed. / Kensaku Mori; Horst K. Hahn. SPIE - International Society for Optical Engineering, 2019. 1095022 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 10950).

    Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review