Jelmer Maarten Wolterink
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Jelmer Maarten Wolterink

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 https://orcid.org/0000-0001-5505-475X
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20142025

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  • 2024

    Vestibular Schwannoma Growth Prediction from Longitudinal MRI by Time-Conditioned Neural Fields

    Chen, Y., Wolterink, J. M., Neve, O. M., Romeijn, S. R., Verbist, B. M., Hensen, E. F., Tao, Q. & Staring, M., 3 Oct 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. Springer, p. 508-518 Chapter 48. (Medical Image Computing and Computer Assisted Intervention – MICCAI 2024; vol. 15003).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

    Open Access
    File
    4 Downloads (Pure)
  • 2023

    SE(3) Symmetry Lets Graph Neural Networks Learn Arterial Velocity Estimation from Small Datasets

    Suk, J., Brune, C. & Wolterink, J. M., 16 Jun 2023, Functional Imaging and Modeling of the Heart: 12th International Conference, FIMH 2023, Lyon, France, June 19–22, 2023, Proceedings. Bernard, O., Clarysse, P., Duchateau, N., Ohayon, J. & Viallon, M. (eds.). p. 445-454 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

    Open Access
    File
    4 Citations (Scopus)
    236 Downloads (Pure)
  • 2022

    Implicit Neural Representations for Generative Modeling of Living Cell Shapes

    Wiesner, D., Suk, J., Dummer, S., Svoboda, D. & Wolterink, J. M., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part IV. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer, p. 58-67 10 p. (Lecture Notes in Computer Science; vol. 13434).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

    Open Access
    File
    10 Citations (Scopus)
    167 Downloads (Pure)
  • 2019

    Cardiovascular diseases

    Verjans, J., Veldhuis, W. B., Carneiro, G., Wolterink, J. M., Išgum, I. & Leiner, T., 30 Jan 2019, Artificial Intelligence in Medical Imaging: Opportunities, Applications and Risks. Ranschaert, E. R., Morozov, S. & Algra, P. R. (eds.). Cham, Switzerland: Springer, p. 167-185 19 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

    3 Citations (Scopus)

  • Deep learning: Generative adversarial networks and adversarial methods

    Wolterink, J. M., Kamnitsas, K., Ledig, C. & Išgum, I., 1 Jan 2019, Handbook of Medical Image Computing and Computer Assisted Intervention. London: Elsevier, p. 547-574 28 p. (The Elsevier and MICCAI Society book series).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

    11 Citations (Scopus)
  • 2015

    Automatic coronary calcium scoring in cardiac CT angiography using convolutional neural networks

    Wolterink, J. M., Leiner, T., Viergever, M. A. & Išgum, I., 2015, Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I. Springer, p. 589-596 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9349).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

    54 Citations (Scopus)