| 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 | 130 | 2020 |
| 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 | 38 | 2021 |
| Radiogenomics model for overall survival prediction of glioblastoma N Wijethilake, M Islam, H Ren Medical & Biological Engineering & Computing 58, 1767-1777, 2020 | 31 | 2020 |
| 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 | 26 | 2021 |
| 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 | 15 | 2020 |
| 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 | 14 | 2020 |
| 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 | 8 | 2022 |
| International MICCAI Brainlesion Workshop M Islam, V Vibashan, VJM Jose, N Wijethilake, U Utkarsh, H Ren Springer, 2019 | 8 | 2019 |
| 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 | 7 | 2023 |
| 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 | 6 | 2022 |
| Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI A Kujawa, R Dorent, S Connor, S Thomson, M Ivory, A Vahedi, E Guilhem, ... Frontiers in Computational Neuroscience 18, 1365727, 2024 | 3 | 2024 |
| 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 | 3 | 2021 |
| 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 | 2 | 2023 |
| 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 | 1 | 2023 |
| 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 | 1 | 2023 |
| DEEP2: Deep learning powered de-scattering with excitation patterning (DEEP) N Wijethilake, M Anandakumar, C Zheng, PTC So, M Yildirim, ... Optica Publishing Group, 2023 | 1 | 2023 |
| DEEP2: Deep Learning Powered De-scattering with Excitation Patterning N Wijethilake, DN Wadduwage Microscopy Histopathology and Analytics, MM4A. 4, 2022 | 1 | 2022 |
| 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 | 1 | 2022 |
| A clinical guideline driven automated linear feature extraction for vestibular schwannoma N Wijethilake, S Connor, A Oviedova, A Kujawa, R Burger, T Vercauteren, ... Medical Imaging 2024: Image Processing 12926, 617-624, 2024 | | 2024 |
Hongliang RenChinese University of Hong Kong | National University of Singapore | JHU/Harvard(RF) | CUHK(PhD)在 jhu.edu 的电子邮件经过验证
