Ronald De Jong Email & Phone Number

Eindhoven, NB, NL

Eindhoven, Noord-Brabant, Nederland

I am currently pursuing my PhD as part of the Medical Image Analysis group, working on the INTRA SURGE project (INTelligent computeR-Aided Surgical gUidance for Robot-assisted surGEry). The project aims to improve robot-assisted minimally invasive esophagectomy (RAMIE), a complex procedure with high complication rates and a steep learning curve that.

Vancouver, British Columbia, Canada

At the University of British Columbia, I developed advanced deep learning techniques, including dual generative adversarial networks, to improve image reconstruction in photoacoustic imaging. My research focused on enhancing accuracy, image quality, and system generalization, contributing to innovative advancements in medical imaging technology, with a.

Eindhoven, North Brabant, Netherlands

As a teaching assistant, I have guided students through various undergraduate courses, including those on digital twins in healthcare and automotive design challenges.

Eindhoven, Noord-Brabant, Nederland

As a student consultant at UniPartners, I worked on a project for ASML to professionalize a toolbox that engineers use to gather/process/visualize data from an SQL database.

Roosendaal

Groenhuysen is a care company with multiple locations. I worked at the 'Heerma State' facility, which specifically focused on elderly individuals with dementia. My tasks included preparing meals, performing household chores, and supporting residents in their daily lives at the facility.

Eindhoven, Noord-Brabant, Nederland

Blue Jay is a dedicated student team at Eindhoven University of Technology, focused on harnessing the potential of drones for meaningful societal impact. In my role within the hardware team, I optimized the drone's performance by enhancing battery life and developing standard testing procedures to evaluate and compare the performance of various drone models.

Master Of Science (Msc), Electrical Engineering (Dual Degree), 8.4/10 (Cum Laude), Thesis: 9

Track: Artificial Intelligence Engineering Systems Research group: Signal Processing Systems, Video Coding and Architectures Master.

Master Of Science (Msc), Biomedical Engineering (Dual Degree), 8.8/10 (Cum Laude), Thesis: 9

Research group: Medical Image Analysis Master Thesis: Deep Learning-Based Anatomy Recognition in Robotic Surgery

Bachelor Of Science (Bsc), Biomedical Engineering, 8.5/10 (Cum Laude), Thesis: 9/10

Electives: oriented towards medical imaging, medical technology, and electrical engineering Bachelor thesis: Pseudo 3D Brain MRI Synthesis.

Vwo, Nature & Health, 8/10 (Cum Laude)

Courses: German, English, Dutch, Geography, Biology, Chemistry, Maths, Physics, Economics, Social studies, General sciences