Research output per year
Research output per year
Personal profile
Research interests
Artificial intelligence in imaging / cardiovascular:
Research is focused on development of AI methods for analysis of medical images to enable automatic patient risk profiling, diagnosis and prognosis, mainly applied to cardiovascular disease.
Specialisation
Medical Image Analysis
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Automatic segmentation of MR brain images of preterm infants using supervised classification
Moeskops, P., Benders, M. J. N. L., Chiţă, S. M., Kersbergen, K. J., Groenendaal, F., de Vries, L. S., Viergever, M. A. & Išgum, I., 2015, In: NEUROIMAGE. 118, p. 628-641Research output: Contribution to journal › Article › Academic › peer-review
67 Citations (Scopus) -
Generative adversarial networks for noise reduction in low-dose CT
Wolterink, J. M., Leiner, T., Viergever, M. A. & Išgum, I., 2017, In: IEEE transactions on medical imaging. 36, 12, p. 2536-2545Research output: Contribution to journal › Article › Academic › peer-review
599 Citations (Scopus) -
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis
Zreik, M., Lessmann, N., van Hamersvelt, R. W., Wolterink, J. M., Voskuil, M., Viergever, M. A., Leiner, T. & Išgum, I., 2018, In: Medical image analysis. 44, p. 72-85Research output: Contribution to journal › Article › Academic › peer-review
122 Citations (Scopus) -
A deep learning framework for unsupervised affine and deformable image registration
de Vos, B. D., Berendsen, F. F., Viergever, M. A., Sokooti, H., Staring, M. & Išgum, I., 2019, In: Medical image analysis. 52, p. 128-143Research output: Contribution to journal › Article › Academic › peer-review
374 Citations (Scopus) -
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification
Lessmann, N., van Ginneken, B., de Jong, P. A. & Išgum, I., 2019, In: Medical image analysis. 53, p. 142-155Research output: Contribution to journal › Article › Academic › peer-review
120 Citations (Scopus)