Gihan Samarasinghe

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	543	526
h-index	10	10
i10-index	10	10

180

135

20162017201820192020202120222023202420253 4 6 33 58 99 145 170 17

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5 cikk

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Társszerzők

Shinichi NakagawaCanada Excellence Research Chair, University of Alberta, UNSWE-mail megerősítve itt: ualberta.ca
Malgorzata LagiszUniversity of New South Wales, Sydney, AustraliaE-mail megerősítve itt: unsw.edu.au
Michael G JamesonGenesisCare & The University of New South WalesE-mail megerősítve itt: genesiscare.com
Lois HollowayLiverpoolE-mail megerősítve itt: health.nsw.gov.au
Janan ArslanPostDoc - Institut du CerveauE-mail megerősítve itt: icm-institute.org
Robyn GuymerDeputy Director, Centre for Eye Research Australia Professor of Surgery (Ophthalmology), UniversityE-mail megerősítve itt: unimelb.edu.au
Rose E. O'DeaMary Lugton Fellow, University of MelbourneE-mail megerősítve itt: unimelb.edu.au
Daniel NobleARC Future Fellow & Associate Professor, The Australian National UniversityE-mail megerősítve itt: anu.edu.au
Neal R. HaddawayFreelance / Juno Evidence AllianceE-mail megerősítve itt: harper-adams.ac.uk
Martin J. WestgateTeam Leader: Science & Decision Support, Atlas of Living AustraliaE-mail megerősítve itt: csiro.au
Jason A. DowlingCommonwealth Scientific and Industrial Research Organisation (CSIRO), AustraliaE-mail megerősítve itt: csiro.au
Shalini VinodUniversity of NSWE-mail megerősítve itt: unsw.edu.au
Matthew FieldUniversity of New South Wales and Ingham Institute for Applied Medical ResearchE-mail megerősítve itt: unsw.edu.au
Ramtin GharleghiResearch Associate, University of New South WalesE-mail megerősítve itt: student.unsw.edu.au
A/Prof Susann BeierUNSW SydneyE-mail megerősítve itt: unsw.edu.au
Daniel Aaron MosesUniversity of New South WalesE-mail megerősítve itt: unsw.edu.au
Phillip ChlapUniversity of New South Wales | RadformationE-mail megerősítve itt: unsw.edu.au
Ruth OliverCommonwealth Bank of AustraliaE-mail megerősítve itt: mq.edu.au
Farhannah AlyResearch Radiation Oncologist, Ingham Institute for Applied Medical ResearchE-mail megerősítve itt: health.nsw.gov.au
Eng-Siew KohStaff Specialist Radiation OncologyE-mail megerősítve itt: sswahs.nsw.gov.au

Követés

Gihan Samarasinghe

Machine Learning and Computer Vision Lead @ Macuject

E-mail megerősítve itt: macuject.com - Kezdőlap

Computer Vision Machine Learning Medical Image Analysis Deep Learning Artificial Intelligence


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
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	229	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	80	2021
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	51	2022
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	47	2020
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	25	2022
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	24	2020
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	17	2021
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	16	2019
Rapid Reviews for the Built Environment—Methodology and Guidelines M Lagisz, G Samarasinghe, S Nakagawa CRC LCL: Sydney, Australia, 2018	13	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 34 (2), 810-822, 2024	10	2024
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	7	2016
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	6	2021
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	6	2019
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	5	2014
Do green-rated office buildings save operational energy? M Lagisz, G Samarasinghe, S Nakagawa, AK Upadhyay, FDLP Suarez, ... CRC for Low Carbon Living, 2018	2	2018
Improved Feature Extraction in Multimodal MRI for Computer-Aided Diagnosis of Prostate Cancer G Samarasinghe UNSW Sydney, 2018	2	2018
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	2	2012
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	1	2020
Quantitative analysis of real-world reduction in intraretinal and subretinal fluid compartments following switch of anti-VEGF agent to faricimab in the treatment of neovascular … G Boscia, CP O'Neill, G Samarasinghe, SMM Lindenberg, A Urrea, ... Investigative Ophthalmology & Visual Science 65 (7), 2119-2119, 2024		2024
Real-World Prevalence and Progress of Intraretinal and Subretinal Fluid in Eyes Switched to Faricimab for the treatment of Neovascular Age-Related Macular Degeneration AN Karamat, S Mauger, CP O'Neill, A Urrea, G Corradetti, D Chauhan, ... Investigative Ophthalmology & Visual Science 65 (7), 3827-3827, 2024		2024

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