Publications of Nikolas Lessmann
2018
Papers in international journals
- N. Lessmann, B. van Ginneken, M. Zreik, P. de Jong, B. de Vos, M. Viergever and I. Išgum, "Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions", IEEE Transactions on Medical Imaging, 2018;37(2):615-625.
- J. Sprem, B. de Vos, N. Lessmann, R. van Hamersvelt, M. Greuter, P. de Jong, T. Leiner, M. Viergever and I. Isgum, "Coronary calcium scoring with partial volume correction in anthropomorphic thorax phantom and screening chest CT images", PLoS One, 2018;13:e0209318.
- S. Gernaat, S. van Velzen, V. Koh, M. Emaus, I. Išgum, N. Lessmann, S. Moes, A. Jacobson, P. Tan, D. Grobbee, D. van den Bongard, J. Tang and H. Verkooijen, "Automatic quantification of calcifications in the coronary arteries and thoracic aorta on radiotherapy planning CT scans of Western and Asian breast cancer patients", Radiotherapy and Oncology, 2018;127:487-492.
- M. Zreik, N. Lessmann, R. van Hamersvelt, J. Wolterink, M. Voskuil, M. Viergever, T. Leiner and I. Išgum, "Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis", Medical Image Analysis, 2018;44:72-85.
- J. Sprem, B. de Vos, N. Lessmann, P. de Jong, M. Viergever and I. Isgum, "Impact of automatically detected motion artifacts on coronary calcium scoring in chest computed tomography", Journal of Medical Imaging, 2018;5:044007.
Papers in conference proceedings
- N. Lessmann, B. van Ginneken, P. de Jong and I. Išgum, "Iterative fully convolutional neural networks for automatic vertebra segmentation", Medical Imaging with Deep Learning, 2018.
- N. Lessmann, B. van Ginneken and I. Išgum, "Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images", Medical Imaging, 2018;10574.
Abstracts
- A. Schreuder, C. Jacobs, N. Lessmann, E. Scholten, I. Isgum, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Improved Lung Cancer and Mortality Prediction Accuracy Using Survival Models Based on Semi-Automatic CT Image Measurements", World Conference on Lung Cancer, 2018.