Vish Sundar completed his Bachelors at Queen Mary University of London (the United Kingdom) in Medical Engineering in 2018. After completion of his studies he went on to work with a University of Cambridge spinout company, that specialised in biomaker discovery. During his 2 year tenure he developed skills in data analysis and machine learning techniques. Currently, he is pursuing his masters in Medical imaging at University of Utrecht with a keen interest in radiotherapy.
Vish is performing his minor project at the Computational Imaging Group at UMC Utrecht, under the supervision of Matteo Maspero. His project aims at investigating the use of deep learning to reconstruct CBCT from raw projections space. Specifically, the focus will be comparing deep learning netoworks with classical mehtods.
Keywords: Medical Image analysis | deep learning | image reconstruction | radiotherapy