Louis van Harten

PhD Candidate
E-mail: l.d.vanharten@umcutrecht.nl
Phone: +31 88 75 67651

Louis van Harten studied Electrical Engineering at the Eindhoven University of Technology, specialising in embedded systems and high-performance computing. His bachelor thesis focused on GPU acceleration of scientific simulation software. In 2018, he received his Master of Science degree with honours. His master thesis focused on the design of an interferometry-based positioning system for sounding rockets.

In October 2018, Louis joined the Quantitative Medical Image Analysis Group as a Ph.D. candidate. His research focuses on using Deep Learning for fast, automatic delineation of brain tumors and organs at risk, as well as synthesis of pseudo-CT scans from MR images. These tools should allow for MR-only radiotherapy treatment planning, enabling intervention shortly after neurosurgical procedures.

Papers in conference proceedings

1.L.D. van Harten, J.M.H. Noothout, J.J.C. Verhoeff, J.M. Wolterink, I. Išgum. Automatic segmentation of organs at risk in thoracic CT scans by combining 2D and 3D convolutional neural networks. In: Proc. of SegTHOR challenge at IEEE International Symposium on Biomedical Imaging, 2019 Abstract | pdf )

2. Louis van Harten, Roel Jordans, Hamid R. Pourshaghaghi. Necessity of Fault Tolerance Techniques in Xilinx Kintex 7 FPGA Devices for Space Missions: A Case Study. In: Euromicro Conference on Digital System Design (DSD), 2017
( pdf )

Papers in international journals

1. Louis van Harten, Mahsa Mousavi, Roel Jordans, Hamid Pourshaghaghi. Determining the Necessity of Fault Tolerance Techniques in FPGA Devices for Space Missions. Microprocessors and Microsystems, 2018, vol. 63, pp. 1-10 ( pdf )

2. Maarten Hornikx, Thomas Krijnen, Louis van Harten. openPSTD: The open source pseudospectral time-domain method for acoustic propagation. Computer Physics Communications, 2016, vol. 203, pp. 298-308 ( pdf )