Mark Savenije studied computer science at Utrecht University (1985-1992) and since then worked as a scientific programmer / researcher / data scientist at the Netherlands institute for space research (SRON), national research institute for mathematics and computer science in the Netherlands (CWI), molecular cytology department / Leeuwenhoek centre for advanced microscopy at the University of Amsterdam, and at the Royal Netherlands Meteorological Institute (KNMI).
Since February 2017 he is employed at the radiotherapy department of the UMC Utrecht where he tries to innovate on different aspects of the complex workflow within radiotherapy, expecially on 3D medical images with the aid of deep learning techniques.
Synthetic CT’s from various sources (MR contrasts, CBCT)
Automatic structure contouring from both CT as MRI
Three most recent publications
Matteo Maspero, Antonetta C. Houweling, Mark H.F. Savenije, Tristan C.F. Heijst, Joost J.C. Verhoeff, Alexis N.T.J. Kotte, and Cornelis A.T. Berg.
'A single neural network for cone-beam computed tomography-based radiotherapy of head-and-neck, lung and breast cancer'.
Physics and Imaging in Radiation Oncology,
K.A.J. Eppenhof, M. Maspero, M.H.F. Savenije, J.C.J. Boer, J.R.N. Zyp, B.W. Raaymakers, A.J.E. Raaijmakers, M. Veta, C.A.T. Berg, and J.P.W. Pluim.
'Fast contour propagation for MR-guided prostate radiotherapy using convolutional neural networks'.
Mark H. F. Savenije, Matteo Maspero, Gonda G. Sikkes, Jochem R. N. Zyp, Alexis N. T. J. Kotte, Gijsbert H. Bol, and Cornelis A. T. Berg.
'Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy'.