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Medical & Biological Engineering & Computing
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June 4, 2020
Radiogenomics model for overall survival prediction of glioblastoma
Navodini Wijethilake, Mobarakol Islam, Hongliang Ren
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
June 27, 2021
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction
Mobarakol Islam, Navodini Wijethilake, Hongliang Ren
Frontiers in Oncology
|
May 14, 2023
Imaging biomarkers associated with extra-axial intracranial tumors: a systematic review
Navodini Wijethilake, Oscar MacCormac, Tom Vercauteren, et al.
The Journal of International Advanced Otology
|
April 10, 2025
The Real-World Impact of Vestibular Schwannoma Fully Automated Volume Measures on the Evaluation of Size Change and Clinical Management Outcomes in a Multidisciplinary Meeting Setting
Steve Connor, Navodini Wijethilake, Anna Oviedova, et al.
Light, Science & Applications
|
September 13, 2023
DEEP-squared: deep learning powered De-scattering with Excitation Patterning
Navodini Wijethilake, Mithunjha Anandakumar, Cheng Zheng, et al.
Neuroradiology
|
June 23, 2026
Consensus on the use of artificial intelligence in the management and measurement of vestibular schwannomas: A protocol for a modified delphi consensus
Keng Siang Lee, Steve Connor, Navodini Wijethilake, et al.
Research Square
|
June 19, 2023
De-scattering Deep Neural Network Enables Fast Imaging of Spines through Scattering Media by Temporal Focusing Microscopy
Zhun Wei, Josiah R Boivin, Yi Xue, et al.
Medical & Biological Engineering & Computing
|
December 3, 2021
Identifying risk factors of intracerebral hemorrhage stability using explainable attention model
Seshasayi Rangaraj, Mobarakol Islam, Vibashan Vs, et al.
Frontiers in Computational Neuroscience
|
May 24, 2024
Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI
Aaron Kujawa, Reuben Dorent, Steve Connor, et al.
JAMIA Open
|
January 8, 2026
Artificial intelligence for personalized management of vestibular schwannoma: a multidisciplinary clinical implementation study
Navodini Wijethilake, Steve Connor, Anna Oviedova, et al.
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of 1
Search research articles
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Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Medical & Biological Engineering & Computing
|
June 4, 2020
Radiogenomics model for overall survival prediction of glioblastoma
Navodini Wijethilake, Mobarakol Islam, Hongliang Ren
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
June 27, 2021
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction
Mobarakol Islam, Navodini Wijethilake, Hongliang Ren
Frontiers in Oncology
|
May 14, 2023
Imaging biomarkers associated with extra-axial intracranial tumors: a systematic review
Navodini Wijethilake, Oscar MacCormac, Tom Vercauteren, et al.
The Journal of International Advanced Otology
|
April 10, 2025
The Real-World Impact of Vestibular Schwannoma Fully Automated Volume Measures on the Evaluation of Size Change and Clinical Management Outcomes in a Multidisciplinary Meeting Setting
Steve Connor, Navodini Wijethilake, Anna Oviedova, et al.
Light, Science & Applications
|
September 13, 2023
DEEP-squared: deep learning powered De-scattering with Excitation Patterning
Navodini Wijethilake, Mithunjha Anandakumar, Cheng Zheng, et al.
Neuroradiology
|
June 23, 2026
Consensus on the use of artificial intelligence in the management and measurement of vestibular schwannomas: A protocol for a modified delphi consensus
Keng Siang Lee, Steve Connor, Navodini Wijethilake, et al.
Research Square
|
June 19, 2023
De-scattering Deep Neural Network Enables Fast Imaging of Spines through Scattering Media by Temporal Focusing Microscopy
Zhun Wei, Josiah R Boivin, Yi Xue, et al.
Medical & Biological Engineering & Computing
|
December 3, 2021
Identifying risk factors of intracerebral hemorrhage stability using explainable attention model
Seshasayi Rangaraj, Mobarakol Islam, Vibashan Vs, et al.
Frontiers in Computational Neuroscience
|
May 24, 2024
Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI
Aaron Kujawa, Reuben Dorent, Steve Connor, et al.
JAMIA Open
|
January 8, 2026
Artificial intelligence for personalized management of vestibular schwannoma: a multidisciplinary clinical implementation study
Navodini Wijethilake, Steve Connor, Anna Oviedova, et al.
Page
of 1