Mathias Ramm Haugland
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Profile Summary

I graduated from the Norwegian University of Science and Technology (NTNU) in 2022, completing the 5-year MTech (MSc) in electronic systems design with major in signal processing, medical imaging and deep learning. In my master's thesis I worked with colposcopy images of colorectal cancer patients, developing a deep learning-based algorithm for improving automatic polyp detection and classification. I'm currently pursuing an MRes in Neurotechnology at Imperial College London, using deep learning to improve our understanding of how deep brain stimulation affects brain activity.
Publications (1)

Proceedings Article | 7 April 2023 Presentation + Paper
Mathias Ramm Haugland, Hemin Ali Qadir, Ilangko Balasingham
Proceedings Volume 12465, 124651N (2023) https://doi.org/10.1117/12.2653048
KEYWORDS: Polyps, Education and training, Object detection, Video, Data modeling, Deep learning, Cancer detection, Error control coding, Colorectal cancer, Colon, Artificial intelligence, Medical imaging

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