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Navodini Wijetilake
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Brain tumor segmentation and survival prediction using 3D attention UNet
M Islam, VS Vibashan, VJM Jose, N Wijethilake, U Utkarsh, H Ren
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
1142020
Glioma survival analysis empowered with data engineering—a survey
N Wijethilake, D Meedeniya, C Chitraranjan, I Perera, M Islam, H Ren
Ieee Access 9, 43168-43191, 2021
322021
Radiogenomics model for overall survival prediction of glioblastoma
N Wijethilake, M Islam, H Ren
Medical & Biological Engineering & Computing 58, 1767-1777, 2020
312020
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction
M Islam, N Wijethilake, H Ren
Computerized Medical Imaging and Graphics 91, 101906, 2021
212021
Survival prediction and risk estimation of Glioma patients using mRNA expressions
N Wijethilake, D Meedeniya, C Chitraranjan, I Perera
2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020
142020
Radiogenomics of glioblastoma: Identification of radiomics associated with molecular subtypes
N Wijethilake, M Islam, D Meedeniya, C Chitraranjan, I Perera, H Ren
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020
122020
International MICCAI Brainlesion Workshop
M Islam, V Vibashan, VJM Jose, N Wijethilake, U Utkarsh, H Ren
Springer, 2019
82019
Boundary distance loss for intra-/extra-meatal segmentation of vestibular schwannoma
N Wijethilake, A Kujawa, R Dorent, M Asad, A Oviedova, T Vercauteren, ...
International Workshop on Machine Learning in Clinical Neuroimaging, 73-82, 2022
72022
DEEP-squared: deep learning powered De-scattering with Excitation Patterning
N Wijethilake, M Anandakumar, C Zheng, PTC So, M Yildirim, ...
Light: Science & Applications 12 (1), 228, 2023
42023
Identifying risk factors of intracerebral hemorrhage stability using explainable attention model
S Rangaraj, M Islam, V Vs, N Wijethilake, U Uppal, AAQ See, J Chan, ...
Medical & Biological Engineering & Computing, 1-12, 2022
42022
A thickness sensitive vessel extraction framework for retinal and conjunctival vascular tortuosity analysis
A De Silva, MV Perera, N Wijethilake, S Jayasinghe, ND Nanayakkara, ...
arXiv preprint arXiv:2101.00435, 2021
22021
De-scattering Deep Neural Network Enables Fast Imaging of Spines through Scattering Media by Temporal Focusing Microscopy
Z Wei, JR Boivin, Y Xue, K Burnell, N Wijethilake, X Chen, PTC So, ...
Research Square, 2023
12023
Imaging biomarkers associated with extra-axial intracranial tumors: a systematic review
N Wijethilake, O MacCormac, T Vercauteren, J Shapey
Frontiers in oncology 13, 1131013, 2023
12023
DEEP2: Deep learning powered de-scattering with excitation patterning (DEEP)
N Wijethilake, M Anandakumar, C Zheng, PTC So, M Yildirim, ...
Optics and the Brain, BW3B. 3, 2023
12023
Artificial intelligence for personalized management of vestibular schwannoma: A clinical implementation study within a multidisciplinary decision making environment
N Wijethilake, S Connor, A Oviedova, R Burger, J De Leon De Sagun, ...
medRxiv, 2023.11. 17.23298685, 2023
12023
DEEP2: Deep Learning Powered De-scattering with Excitation Patterning
N Wijethilake, DN Wadduwage
Microscopy Histopathology and Analytics, MM4A. 4, 2022
12022
DEEP learning powered De-scattering with Excitation Patterning (DEEP) for high-throughput wide-field multiphoton microscopy
N Wijethilake, C Zheng, JK Park, M Yildirim, U Haputhanthri, PTC So, ...
Multiphoton Microscopy in the Biomedical Sciences XXII, PC119650B, 2022
12022
A Clinical Guideline Driven Automated Linear Feature Extraction for Vestibular Schwannoma
N Wijethilake, S Connor, A Oviedova, R Burger, T Vercauteren, J Shapey
arXiv preprint arXiv:2310.19392, 2023
2023
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