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
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
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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
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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