Brain Tumor Segmentation and Survival Prediction Using 3D Attention UNet. - Mobarakol Islam; V. S. Vibashan; V. Jeya Maria Jose; Navodini Wijethilake; Uppal Utkarsh; Hongliang Ren 001 (BrainLes@MICCAI (1), 2019)

Survival prediction and risk estimation of Glioma patients using mRNA expressions. - Navodini Wijethilake; Dulani Meedeniya; Charith Chitraranjan; Indika Perera (BIBE, 2020)

Radiogenomics of Glioblastoma: Identification of Radiomics Associated with Molecular Subtypes. - Navodini Wijethilake; Mobarakol Islam; Dulani Meedeniya; Charith Chitraranjan; Indika Perera; Hongliang Ren 001 (MLCN/RNO-AI@MICCAI, 2020)

Radiogenomics model for overall survival prediction of glioblastoma. - Navodini Wijethilake; Mobarakol Islam; Hongliang Ren 001 (Medical Biol. Eng. Comput., 2020)

Glioma Survival Analysis Empowered With Data Engineering - A Survey. - Navodini Wijethilake; Dulani Meedeniya; Charith Chitraranjan; Indika Perera; Mobarakol Islam; Hongliang Ren 001 (IEEE Access, 2021)

Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction. - Mobarakol Islam; Navodini Wijethilake; Hongliang Ren 001 (Comput. Medical Imaging Graph., 2021)

Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma. - Navodini Wijethilake; Aaron Kujawa; Reuben Dorent; Muhammad Asad 001; Anna Oviedova; Tom Vercauteren; Jonathan Shapey (MLCN@MICCAI, 2022)

DEEP2: Deep Learning Powered De-scattering with Excitation Patterning. - Navodini Wijethilake; Mithunjha Anandakumar; Cheng Zheng 007; Peter T. C. So; Murat Yildirim; Dushan N. Wadduwage (CoRR, 2022)

Identifying risk factors of intracerebral hemorrhage stability using explainable attention model. - Seshasayi Rangaraj; Mobarakol Islam; Vibashan VS; Navodini Wijethilake; Utkarsh Uppal; Angela An Qi See; Jasmine Chan; Michael Lucas James; Nicolas Kon Kam King; Hongliang Ren 001 (Medical Biol. Eng. Comput., 2022)

A Clinical Guideline Driven Automated Linear Feature Extraction for Vestibular Schwannoma. - Navodini Wijethilake; Steve Connor; Anna Oviedova; Rebecca Burger; Tom Vercauteren; Jonathan Shapey (CoRR, 2023)

Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI. - Aaron Kujawa; Reuben Dorent; Steve Connor; Suki Thomson; Marina Ivory; Ali Vahedi; Emily Guilhem; Navodini Wijethilake; Robert Bradford; Neil Kitchen; Sotirios Bisdas; Sébastien Ourselin; et al. (Frontiers Comput. Neurosci., 2024)

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. - Navodini Wijethilake; Reuben Dorent; Marina Ivory; Aaron Kujawa; Stefan Cornelissen; Patrick Langenhuizen; Mohamed Okasha; Anna Oviedova; Hexin Dong; Bogyeong Kang; Guillaume Sallé; Luyi Han; et al. (CoRR, 2025)

Systematic Review of Pituitary Gland and Pituitary Adenoma Automatic Segmentation Techniques in Magnetic Resonance Imaging. - Mubaraq Yakubu; Navodini Wijethilake; Jonathan Shapey; Andrew P. King; Alexander Hammers (CoRR, 2025)