| Deep learning for optic disc segmentation and glaucoma diagnosis on retinal images S Sreng, N Maneerat, K Hamamoto, KY Win Applied Sciences 10 (14), 4916, 2020 | 157 | 2020 |
| Automatic exudate extraction for early detection of Diabetic Retinopathy S Sreng, J Takada, N Maneerat, D Isarakorn, B Pasaya, R Panjaphongse, ... 2013 International Conference on Information Technology and Electrical …, 2013 | 28 | 2013 |
| Automated diabetic retinopathy screening system using hybrid simulated annealing and ensemble bagging classifier S Sreng, N Maneerat, K Hamamoto, R Panjaphongse Applied Sciences 8 (7), 1198, 2018 | 24 | 2018 |
| Hybrid learning of hand-crafted and deep-activated features using particle swarm optimization and optimized support vector machine for tuberculosis screening KY Win, N Maneerat, K Hamamoto, S Sreng Applied Sciences 10 (17), 5749, 2020 | 23 | 2020 |
| Ensemble deep learning for the detection of covid-19 in unbalanced chest x-ray dataset KY Win, N Maneerat, S Sreng, K Hamamoto Applied Sciences 11 (22), 10528, 2021 | 22 | 2021 |
| Automated microaneurysms detection in fundus images using image segmentation S Sreng, N Maneerat, K Hamamoto 2017 international conference on digital arts, media and technology (ICDAMT …, 2017 | 20 | 2017 |
| Feature extraction from retinal fundus image for early detection of diabetic retinopathy S Sreng, J Takada, N Maneerat, D Isarakorn, R Varakulsiripunth, ... 2013 IEEE Region 10 Humanitarian Technology Conference, 63-66, 2013 | 14 | 2013 |
| Cotton wool spots detection in diabetic retinopathy based on adaptive thresholding and ant colony optimization coupling support vector machine S Sreng, N Maneerat, K Hamamoto, R Panjaphongse IEEJ Transactions on Electrical and Electronic Engineering 14 (6), 884-893, 2019 | 12 | 2019 |
| Suitable supervised machine learning techniques for malignant mesothelioma diagnosis KY Win, N Maneerat, S Choomchuay, S Sreng, K HAMAMOTO 2018 11th Biomedical Engineering International Conference (BMEiCON), 1-5, 2018 | 9 | 2018 |
| Primary screening of diabetic retinopathy based on integrating morphological operation and support vector machine S Sreng, N Maneerat, D Isarakorn, K Hamamoto, R Panjaphongse 2017 International Conference on Intelligent Informatics and Biomedical …, 2017 | 9 | 2017 |
| Automatic hemorrhages detection based on fundus images S Sreng, N Maneerat, D Isarakorn, K Hamamoto, R Panjaphongse 2015 7th International Conference on Information Technology and Electrical …, 2015 | 6 | 2015 |
| Classification of cotton wool spots using principal components analysis and support vector machine S Sreng, N Maneerat, KY Win, K Hamamoto, R Panjaphongse 2018 11th Biomedical Engineering International Conference (BMEiCON), 1-5, 2018 | 5 | 2018 |
| Optical coherence tomography choroidal enhancement using generative deep learning V Bellemo, A Kumar Das, S Sreng, J Chua, D Wong, J Shah, R Jonas, ... NPJ Digital Medicine 7 (1), 115, 2024 | 1 | 2024 |
| Enhancing Volumetric Segmentation in Wide-Field OCT Images with a Semi-Supervised Learning Framework: Cross-Teaching CNN and Transformer Integration D Wong, S Sreng, PDN Phuong, NFBA Gani, J Chua, ME Nongpiur, ... | | 2024 |
| Optical Coherence Tomography Choroidal Enhancement Using Generative Deep Learning L Schmetterer, V Bellemo, AK Das, S Sreng, J Chua, D Wong, J Shah, ... | | 2023 |
| COMPUTER-AIDED DIAGNOSIS AND GRADING SYSTEM OF DIABETIC RETINOPATHY BASED ON COTTON WOOL SPOT DETECTION S SRENG KING MONGKUT’S INSTITUTE OF TECHNOLOGY LADKRABANG, 2019 | | 2019 |
| Automatic Diabetic Retinopathy Screening Based on Morphological Operation and Support Vector Machine Integration S Sreng, N Maneerat, K Hamamoto, D Isarakorn, R Panjaphongse Journal of Bioinformatics and Neuroscience (JBINS) 3 (3), 85-90, 2017 | | 2017 |
