Predicting factors for survival of breast cancer patients using machine learning techniques MD Ganggayah, NA Taib, YC Har, P Lio, SK Dhillon BMC medical informatics and decision making 19, 1-17, 2019 | 260 | 2019 |
Agreement analysis of LENSTAR with other techniques of biometry S Jasvinder, TF Khang, KKS Sarinder, VP Loo, V Subrayan Eye 25 (6), 717-724, 2011 | 110 | 2011 |
Automated plant identification using artificial neural network and support vector machine SJ Kho, S Manickam, S Malek, M Mosleh, SK Dhillon Frontiers in Life Science 10 (1), 98-107, 2017 | 71 | 2017 |
Machine Learning and Deep Learning Approaches in Breast Cancer Survival Prediction Using Clinical Data EY Kalafi, NAM Nor, NA Taib, MD Ganggayah, C Town, SK Dhillon Folia Biologica 65 (5/6), 212-220, 2019 | 67 | 2019 |
A methodological review of data mining techniques in predictive medicine: An application in hemodynamic prediction for abdominal aortic aneurysm disease V Paramasivam, TS Yee, SK Dhillon, AS Sidhu Biocybernetics and Biomedical Engineering 34 (3), 139-145, 2014 | 46 | 2014 |
Automated identification of copepods using digital image processing and artificial neural network LK Leow, LL Chew, VC Chong, SK Dhillon BMC bioinformatics 16 (18), 1-12, 2015 | 43 | 2015 |
Automated identification of Monogeneans using digital image processing and K-nearest neighbour approaches E Yousef Kalafi, WB Tan, C Town, SK Dhillon BMC bioinformatics 17, 259-266, 2016 | 32 | 2016 |
Fully-automated identification of fish species based on otolith contour: using short-time Fourier transform and discriminant analysis (STFT-DA) N Salimi, KH Loh, SK Dhillon, VC Chong PeerJ 4, e1664, 2016 | 30 | 2016 |
Classification of breast cancer lesions in ultrasound images by using attention layer and loss ensemble in deep convolutional neural networks EY Kalafi, A Jodeiri, SK Setarehdan, NW Lin, K Rahmat, NA Taib, ... Diagnostics 11 (10), 1859, 2021 | 27 | 2021 |
Novel phytochemical–antibiotic conjugates as multitarget inhibitors of Pseudomononas aeruginosa GyrB/ParE and DHFR P Jayaraman, KR Sakharkar, CS Lim, MI Siddiqi, SK Dhillon, ... Drug Design, Development and Therapy, 449-475, 2013 | 27 | 2013 |
A systems biology approach towards the identification of candidate therapeutic genes and potential biomarkers for Parkinson’s disease MK Sakharkar, SK Kashmir Singh, K Rajamanickam, M Mohamed Essa, ... PloS one 14 (9), e0220995, 2019 | 23 | 2019 |
Therapeutic implications of targeting energy metabolism in breast cancer MK Sakharkar, B Shashni, K Sharma, SK Dhillon, PR Ranjekar, ... PPAR Research 2013, 2013 | 21 | 2013 |
Development of electronic medical records for clinical and research purposes: the breast cancer module using an implementation framework in a middle income country-Malaysia NA Mohd Nor, NA Taib, M Saad, HS Zaini, Z Ahmad, Y Ahmad, SK Dhillon BMC bioinformatics 19 (13), 139-154, 2019 | 19 | 2019 |
How automated image analysis techniques help scientists in species identification and classification? EY Kalafi, C Town, SK Dhillon Folia morphologica 77 (2), 179-193, 2018 | 16 | 2018 |
Gene pair correlation coefficients in sphingolipid metabolic pathway as a potential prognostic biomarker for breast cancer MK Sakharkar, S Kaur Dhillon, SB Chidambaram, MM Essa, J Yang Cancers 12 (7), 1747, 2020 | 14 | 2020 |
Fish Ontology framework for taxonomy-based fish recognition NM Ali, HA Khan, Y Amy, H Then, CV Ching, M Gaur, SK Dhillon PeerJ 5, e3811, 2017 | 12 | 2017 |
A novel alternative method for 3D visualisation in Parasitology: the construction of a 3D model of a parasite from 2D illustrations. BG Teo, KKS Sarinder, LHS Lim Tropical biomedicine 27 (2), 254-64, 2010 | 12 | 2010 |
Biodiversity image retrieval framework for monogeneans A Abu, SLH Lim, AS Sidhu, SK Dhillon Systematics and Biodiversity, 1-15, 2013 | 10 | 2013 |
Semantic representation of monogenean haptoral Bar image annotation A Abu, LLH Susan, AS Sidhu, SK Dhillon BMC bioinformatics 14 (1), 1-11, 2013 | 9 | 2013 |
Bioimage Informatics S Malek, M Mosleh, SK Dhillon, P Milow Academic Press, 2019 | 8 | 2019 |