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ORCIDNavodini Wijethilake
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2020 – today
- 2024
[j5]Aaron Kujawa, Reuben Dorent, Steve Connor, Suki Thomson, Marina Ivory, Ali Vahedi, Emily Guilhem, Navodini Wijethilake
, Robert Bradford, Neil Kitchen, Sotirios Bisdas, Sébastien Ourselin, Tom Vercauteren, Jonathan Shapey:
Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI. Frontiers Comput. Neurosci. 18 (2024)- 2023
- [i7]Navodini Wijethilake, Steve Connor, Anna Oviedova, Rebecca Burger, Tom Vercauteren, Jonathan Shapey:
A Clinical Guideline Driven Automated Linear Feature Extraction for Vestibular Schwannoma. CoRR abs/2310.19392 (2023) - 2022
- [j4]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:
Identifying risk factors of intracerebral hemorrhage stability using explainable attention model. Medical Biol. Eng. Comput. 60(2): 337-348 (2022) - [c4]Navodini Wijethilake, Aaron Kujawa, Reuben Dorent, Muhammad Asad, Anna Oviedova, Tom Vercauteren, Jonathan Shapey:
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma. MLCN@MICCAI 2022: 73-82 - [i6]Navodini Wijethilake, Aaron Kujawa, Reuben Dorent, Muhammad Asad, Anna Oviedova, Tom Vercauteren, Jonathan Shapey:
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma. CoRR abs/2208.04680 (2022) - [i5]Navodini Wijethilake, Mithunjha Anandakumar, Cheng Zheng, Peter T. C. So, Murat Yildirim, Dushan N. Wadduwage:
DEEP2: Deep Learning Powered De-scattering with Excitation Patterning. CoRR abs/2210.10892 (2022) - 2021
- [j3]Navodini Wijethilake, Dulani Meedeniya, Charith Chitraranjan, Indika Perera, Mobarakol Islam, Hongliang Ren:
Glioma Survival Analysis Empowered With Data Engineering - A Survey. IEEE Access 9: 43168-43191 (2021) - [j2]Mobarakol Islam, Navodini Wijethilake, Hongliang Ren:
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction. Comput. Medical Imaging Graph. 91: 101906 (2021) - [i4]Mobarakol Islam, Vibashan VS, V. Jeya Maria Jose, Navodini Wijethilake, Uppal Utkarsh, Hongliang Ren:
Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet. CoRR abs/2104.00985 (2021) - [i3]Mobarakol Islam, Navodini Wijethilake, Hongliang Ren:
Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival Prediction. CoRR abs/2104.01149 (2021) - 2020
- [j1]Navodini Wijethilake, Mobarakol Islam, Hongliang Ren:
Radiogenomics model for overall survival prediction of glioblastoma. Medical Biol. Eng. Comput. 58(8): 1767-1777 (2020) - [c3]Navodini Wijethilake, Dulani Meedeniya, Charith Chitraranjan, Indika Perera:
Survival prediction and risk estimation of Glioma patients using mRNA expressions. BIBE 2020: 35-42 - [c2]Navodini Wijethilake, Mobarakol Islam, Dulani Meedeniya, Charith Chitraranjan, Indika Perera, Hongliang Ren:
Radiogenomics of Glioblastoma: Identification of Radiomics Associated with Molecular Subtypes. MLCN/RNO-AI@MICCAI 2020: 229-239 - [i2]Navodini Wijethilake, Mobarakol Islam, Dulani Meedeniya, Charith Chitraranjan, Indika Perera, Hongliang Ren:
Radiogenomics of Glioblastoma: Identification of Radiomics associated with Molecular Subtypes. CoRR abs/2010.14068 (2020) - [i1]Navodini Wijethilake, Dulani Meedeniya, Charith Chitraranjan, Indika Perera:
Survival prediction and risk estimation of Glioma patients using mRNA expressions. CoRR abs/2011.00659 (2020)
2010 – 2019
- 2019
- [c1]Mobarakol Islam, V. S. Vibashan, V. Jeya Maria Jose, Navodini Wijethilake, Uppal Utkarsh, Hongliang Ren:
Brain Tumor Segmentation and Survival Prediction Using 3D Attention UNet. BrainLes@MICCAI (1) 2019: 262-272
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