Specialization
medical image processing
Focus of research
Machine Learning for virtual FFR
Amsterdam Cardiovascular Sciences
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Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction using Mesh Priors
van Herten, R. L. M., Hampe, N., Takx, R. A. P., Franssen, K. J., Wang, Y., Sucha, D., Henriques, J. P., Leiner, T., Planken, R. N. & Isgum, I., 2023, (E-pub ahead of print) In: IEEE Transactions on Medical Imaging. p. 1 1 p.Research output: Contribution to journal › Article › Academic › peer-review
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Deep learning-based detection of functionally significant stenosis in coronary CT angiography
Hampe, N., van Velzen, S. G. M., Planken, R. N., Henriques, J. P. S., Collet, C., Aben, J-P., Voskuil, M., Leiner, T. & Išgum, I., 15 Nov 2022, In: Frontiers in cardiovascular medicine. 9, 964355.Research output: Contribution to journal › Article › Academic › peer-review
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Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis
Zreik, M., Hampe, N., Leiner, T., Khalili, N., Wolterink, J. M., Voskuil, M., Viergever, M. A. & Išgum, I., 2021, Medical Imaging 2021: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE, Vol. 11596. 115961F. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11596).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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