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Gihan Samarasinghe

Showing results (1-10 of 8) with videos related to

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Journal of Medical Imaging and Radiation Oncology|July 27, 2021
Deep learning for segmentation in radiation therapy planning: a reviewGihan Samarasinghe, Michael Jameson, Shalini Vinod, et al.
Translational Vision Science & Technology|June 10, 2021
Model Structure Uncertainty in the Characterization and Growth of Geographic AtrophyJanan Arslan, Kurt K Benke, Gihan Samarasinghe, et al.
Translational Vision Science & Technology|November 11, 2020
Artificial Intelligence Algorithms for Analysis of Geographic Atrophy: A Review and EvaluationJanan Arslan, Gihan Samarasinghe, Kurt K Benke, et al.
Trends in Ecology & Evolution|December 25, 2018
Research Weaving: Visualizing the Future of Research SynthesisShinichi Nakagawa, Gihan Samarasinghe, Neal R Haddaway, et al.
Translational Vision Science & Technology|July 6, 2021
Deep Learning Applied to Automated Segmentation of Geographic Atrophy in Fundus Autofluorescence ImagesJanan Arslan, Gihan Samarasinghe, Arcot Sowmya, et al.
Magnetic Resonance Imaging|October 29, 2021
Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative imagesMina Ghaffari, Gihan Samarasinghe, Michael Jameson, et al.
Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia|March 15, 2022
Charting the potential of brain computed tomography deep learning systemsQuinlan D Buchlak, Michael R Milne, Jarrel Seah, et al.
European Radiology|August 22, 2023
Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracyQuinlan D Buchlak, Cyril H M Tang, Jarrel C Y Seah, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Medical Imaging and Radiation Oncology|July 27, 2021
Deep learning for segmentation in radiation therapy planning: a reviewGihan Samarasinghe, Michael Jameson, Shalini Vinod, et al.
Translational Vision Science & Technology|June 10, 2021
Model Structure Uncertainty in the Characterization and Growth of Geographic AtrophyJanan Arslan, Kurt K Benke, Gihan Samarasinghe, et al.
Translational Vision Science & Technology|November 11, 2020
Artificial Intelligence Algorithms for Analysis of Geographic Atrophy: A Review and EvaluationJanan Arslan, Gihan Samarasinghe, Kurt K Benke, et al.
Trends in Ecology & Evolution|December 25, 2018
Research Weaving: Visualizing the Future of Research SynthesisShinichi Nakagawa, Gihan Samarasinghe, Neal R Haddaway, et al.
Translational Vision Science & Technology|July 6, 2021
Deep Learning Applied to Automated Segmentation of Geographic Atrophy in Fundus Autofluorescence ImagesJanan Arslan, Gihan Samarasinghe, Arcot Sowmya, et al.
Magnetic Resonance Imaging|October 29, 2021
Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative imagesMina Ghaffari, Gihan Samarasinghe, Michael Jameson, et al.
Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia|March 15, 2022
Charting the potential of brain computed tomography deep learning systemsQuinlan D Buchlak, Michael R Milne, Jarrel Seah, et al.
European Radiology|August 22, 2023
Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracyQuinlan D Buchlak, Cyril H M Tang, Jarrel C Y Seah, et al.
Pageof 1