Gihan Samarasinghe
Gihan Samarasinghe
Machine Learning and Computer Vision Lead @ Macuject
Verified email at - Homepage
Cited by
Cited by
Research weaving: visualizing the future of research synthesis
S Nakagawa, G Samarasinghe, NR Haddaway, MJ Westgate, RE O’Dea, ...
Trends in ecology & evolution 34 (3), 224-238, 2019
Deep learning for segmentation in radiation therapy planning: a review
G Samarasinghe, M Jameson, S Vinod, M Field, J Dowling, A Sowmya, ...
Journal of Medical Imaging and Radiation Oncology 65 (5), 578-595, 2021
Artificial intelligence algorithms for analysis of geographic atrophy: a review and evaluation
J Arslan, G Samarasinghe, KK Benke, A Sowmya, Z Wu, RH Guymer, ...
Translational vision science & technology 9 (2), 57-57, 2020
Deep learning for time averaged wall shear stress prediction in left main coronary bifurcations
R Gharleghi, G Samarasinghe, A Sowmya, S Beier
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1-4, 2020
Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative images
M Ghaffari, G Samarasinghe, M Jameson, F Aly, L Holloway, P Chlap, ...
Magnetic resonance imaging 86, 28-36, 2022
Charting the potential of brain computed tomography deep learning systems
QD Buchlak, MR Milne, J Seah, A Johnson, G Samarasinghe, B Hachey, ...
Journal of Clinical Neuroscience 99, 217-223, 2022
A visualized overview of systematic reviews and meta-analyses on low-carbon built environments: An evidence review map
G Samarasinghe, M Lagisz, M Santamouris, K Yenneti, AK Upadhyay, ...
Solar Energy 186, 291-299, 2019
Rapid reviews for the built environment: methodology and guidelines
M Lagisz, G Samarasinghe, S Nakagawa
CRC for Low Carbon Living, 2019
Deep learning applied to automated segmentation of geographic atrophy in fundus autofluorescence images
J Arslan, G Samarasinghe, A Sowmya, KK Benke, LAB Hodgson, ...
Translational Vision Science & Technology 10 (8), 2-2, 2021
Semi-quantitative analysis of prostate perfusion mri by clustering of pre and post contrast enhancement phases
G Samarasinghe, A Sowmya, DA Moses
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 943-947, 2016
A semi-quantitative analysis model with parabolic modelling for dce-mri sequences of prostate
G Samarasinghe, A Sowmya, DA Moses
2014 International Conference on Digital Image Computing: Techniques and …, 2014
Deep learning for volumetric segmentation in spatio-temporal data: application to segmentation of prostate in DCE-MRI
J Kang, G Samarasinghe, U Senanayake, S Conjeti, A Sowmya
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 61-65, 2019
Model structure uncertainty in the characterization and growth of geographic atrophy
J Arslan, KK Benke, G Samarasinghe, A Sowmya, RH Guymer, PN Baird
Translational Vision Science & Technology 10 (6), 2-2, 2021
Power Aware Instruction Scheduling for Microcontrollers
K Samarasinghe, M Jayasekara, D Elkaduwe, RG Ragel
International Journal of Scientific and Research Publications 2 (10), 135-150, 2012
Do green-rated office buildings save operational energy?
M Lagisz, G Samarasinghe, S Nakagawa, AK Upadhyay, FDLP Suarez, ...
CRC for Low Carbon Living, 2018
Improved Feature Extraction in Multimodal MRI for Computer-Aided Diagnosis of Prostate Cancer
G Samarasinghe
UNSW Sydney, 2018
Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy
QD Buchlak, CHM Tang, JCY Seah, A Johnson, X Holt, GM Bottrell, ...
European Radiology, 1-13, 2023
Refined Reconstruction of Global Prostate Segmentation from Patch-wise Coarse Predictions
J Kang, A Sowmya, G Samarasinghe, S Pang
Automated Grading of Refractive Error from Fundus Images using Deep Learning
D Ovens, G Samarasinghe, D Jagadeesh, T Naduvilath, P Sankaridurg, ...
Imaging Systems and Applications, ITh3E. 1, 2020
377 Machine Learning to Predict Hemodynamic Risk in Left Main Bifurcations
R Gharleghi, G Samarasinghe, A Sowmya, S Beier
Heart, Lung and Circulation 29, S207, 2020
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