The project title is “Data-driven composite biomarker development for the personalised management of vestibular schwannoma”. This project aims to develop and validate deep learning models to predict, from MRI and clinical data, which tumours are likely to grow and require treatment.
Navodini Wijethilake completed her undergraduate studies in Biomedical Engineering at University of Moratuwa, Sri Lanka. During her undergraduate training period, she did a research internship at Medical Mechatronics Labs, National University of Singapore, Singapore. Her research were focused on overall survival prediction with radiomics and also, genomics. This motivated her to focus on prognostic analysis for her PhD. Navodini likes the multidisciplinary research environment at KCL DTP the most.
Wijethilake, N., Kujawa, A., Dorent, R., Asad, M., Oviedova, A., Vercauteren, T. and Shapey, J., 2022. Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma. (Accepted for MICCAI MLCN workshop 2022)