Steffen Bruns

Research activity per year

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Deep Learning in Medical Image Analysis

Deep learning in high-dimensional medical images, mainly cardiac CT

AI-Based Quantification of Planned Radiation Therapy Dose to Cardiac Structures and Coronary Arteries in Patients With Breast Cancer
van Velzen, S. G. M., Bruns, S., Wolterink, J. M., Leiner, T., Viergever, M. A., Verkooijen, H. M. & Išgum, I., 1 Mar 2022, In: International Journal of Radiation Oncology Biology Physics. 112, 3, p. 611-620
Research output: Contribution to Journal › Article › Academic › peer-review
Automatic whole-heart segmentation in 4D TAVI treatment planning CT
Bruns, S., Wolterink, J. M., van den Boogert, T. P. W., Henriques, J. P., Baan, J., Planken, R. N. & Išgum, I., 2021, Medical Imaging 2021: Image Processing. Išgum, I., Landman, B. A., Isgum, I. & Landman, B. A. (eds.). Bellingham, WA: SPIE, Vol. 1. 8 p. 115960B. (Proceedings of SPIE; vol. 11596)(Progress in Biomedical Optics and Imaging; vol. 22, no. 2).
Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
Deep learning from dual-energy information for whole-heart segmentation in dual-energy and single-energy non-contrast-enhanced cardiac CT
Bruns, S., Wolterink, J. M., Takx, R. A. P., van Hamersvelt, R. W., Suchá, D., Viergever, M. A., Leiner, T. & Išgum, I., 1 Oct 2020, In: Medical physics. 47, 10, p. 5048-5060 13 p.
Research output: Contribution to Journal › Article › Academic › peer-review

Open Access

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