Fokke Johannes Dijkstra “Breakpoint detection through neural nets“ (2019 TU Delft)
Manuel Huber “Development of a Deep Learning Surrogate Model to Simulate MetOp ASCAT Observations with Land Surface Parameters“ (2019, TU Delft)
Pim Klaassen “Using Neural Networks to Model Behavior in Vessel Trajectories” (2019, TU Delft)
Renske Taylor “Development of a 3D Image Analysis Method to Measure Blast-Induced Fragmentation at the Leveäniemi Mine“ (2019, TU Delft)
Konstantinos Chatzopoulos Vouzoglanis “Eutrophication prediction in the Dutch coastal waters using remote sensing data and machine learning“ (2019, TU Delft)
Konstantinos Vlachos “Investigation of meso-scale Sentinel-3 product along-track correlations and the potential of inter-track SSHA estimation using machine learning“ (2019, TU Delft)
Tom Sassen “The influence of drone flightpath on photogrammetric model quality“ (2019 TU Delft)
Marloes Arts “BRCA2 mobility analysis using Deep Learning and the Moment Scaling Spectrum“ (July 2018, TU Delft / EMC)
Bachelor End Projects
Maud Diepeveen “Quantitative analysis of diffusive transitions of DNA repair proteins using Markov Chain methods“ (Sept., 2020, TU Delft / EMC)
Tom van de Kamp “Contraction Analysis Method Optimization for Cardiomyocytes and Vascular Smooth Muscle Cells (VSMCs)“ (Aug. 2020, TU Delft / EMC)
Rana Sannia Ul Haq “Comparing different methods to analyse the diffusive be- haviour of DNA repair proteins by single-particle tracking“ (July, 2017, TU Delft / EMC)
Research Projects
Tijmen de Wolf “Deep learning based segmentation of 53BP1 foci“ (July, 2020, Tu Delft / EMC)
Kirsten van Kooij “Analysis of microCT 3D images“ (Sep., 2020, TU Delft / EMC)
