Specialization
medical image processing
Focus of research
Machine Learning for virtual FFR
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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. 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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Graph attention networks for segment labeling in coronary artery trees
Hampe, N., Wolterink, J. M., Collet, C., Planken, N. & Išgum, I., 2021, Medical Imaging 2021: Image Processing. SPIE, Vol. 11596. 115961I. (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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Investigating the challenges and generalizability of deep learning brain conductivity mapping
Hampe, N., Katscher, U., van den Berg, C. A. T., Tha, K. K. & Mandija, S., 7 Jul 2020, In: Physics in medicine and biology. 65, 13, 135001.Research output: Contribution to journal › Article* › Academic › peer-review
- All publications