Background and activities
PhD candidate at the Department of Circulation and Medical Imaging financed by CIUS. Current research projects involve automatic methods for analysing medical images using machine learning methodology. The main application is cardiac ultrasound imaging, where the goal is to develop good diagnostic tools and improve workflow in the clinic.
Ultrasound, and other medical imaging modalities
Machine learning with emphasis on deep neural networks
Robotics and machine vision in medical intervention
Master of Science (MSc) in physics and mathematics with specialization in biophysics and medical technology. Master thesis on the topic of Robot Control in Image-Guided Intervention.
Scientific, academic and artistic work
Displaying a selection of activities. See all publications in the database
- (2017) 2D left ventricle segmentation using deep learning. Proceedings - IEEE Ultrasonics Symposium.
- (2018) Deep learning for ultrasound image classification and segmentation. Myocardial velocity and deformation imaging ; Leuven. 2018-02-08 - 2018-02-09.
- (2017) 2D Left ventricle segmentation using deep learning. International Ultrasonics Symposium (IUS) ; Washington DC. 2017-09-06 - 2017-09-09.
- (2017) Real-Time Classification of Standard Cardiac Views in Echocardiography using Neural Networks. IEEE International Ultrasonics Symposium ; Washington DC. 2017-09-06 - 2017-09-09.