| Automated detection and classification of early AMD biomarkers using deep learning S Saha, M Nassisi, M Wang, S Lindenberg, Y Kanagasingam, S Sadda, ... Scientific reports 9 (1), 10990, 2019 | 101 | 2019 |
| Fluorescein aqueous angiography in live normal human eyes AS Huang, RC Penteado, SK Saha, JL Do, P Ngai, Z Hu, RN Weinreb Journal of glaucoma 27 (11), 957, 2018 | 86 | 2018 |
| Automated quality assessment of colour fundus images for diabetic retinopathy screening in telemedicine SK Saha, B Fernando, J Cuadros, D Xiao, Y Kanagasingam Journal of digital imaging 31, 869-878, 2018 | 80 | 2018 |
| Deep learning for automated detection and numbering of permanent teeth on panoramic images M Estai, M Tennant, D Gebauer, A Brostek, J Vignarajan, M Mehdizadeh, ... Dentomaxillofacial Radiology 51 (2), 20210296, 2022 | 66 | 2022 |
| Color fundus image registration techniques and applications for automated analysis of diabetic retinopathy progression: A review SK Saha, D Xiao, A Bhuiyan, TY Wong, Y Kanagasingam Biomedical Signal Processing and Control 47, 288-302, 2019 | 59 | 2019 |
| Understanding inherent image features in CNN-based assessment of diabetic retinopathy R Reguant, S Brunak, S Saha Scientific Reports 11 (1), 9704, 2021 | 51 | 2021 |
| ALOHA: An efficient binary descriptor based on Haar features S Saha, V Démoulin 2012 19th IEEE International Conference on Image Processing, 2345-2348, 2012 | 44 | 2012 |
| A two-step approach for longitudinal registration of retinal images SK Saha, D Xiao, S Frost, Y Kanagasingam Journal of medical systems 40, 1-13, 2016 | 39 | 2016 |
| Evaluation of a deep learning system for automatic detection of proximal surface dental caries on bitewing radiographs M Estai, M Tennant, D Gebauer, A Brostek, J Vignarajan, M Mehdizadeh, ... Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 134 (2), 262-270, 2022 | 26 | 2022 |
| Color correction: a novel weighted Von Kries model based on memory colors A Moreno, B Fernando, B Kani, S Saha, S Karaoglu International Workshop on Computational Color Imaging, 165-175, 2011 | 25 | 2011 |
| Performance evaluation of state-of-the-art local feature detectors and descriptors in the context of longitudinal registration of retinal images SK Saha, D Xiao, S Frost, Y Kanagasingam Journal of medical systems 42, 1-11, 2018 | 21 | 2018 |
| A fast and fully automated system for glaucoma detection using color fundus photographs S Saha, J Vignarajan, S Frost Scientific Reports 13 (1), 18408, 2023 | 20 | 2023 |
| Evaluation of spatial resolution and noise sensitivity of sLORETA method for EEG source localization using low-density headsets S Saha, YI Nesterets, M Tahtali, TE Gureyev Biomedical Physics & Engineering Express 1 (4), 045206, 2015 | 19 | 2015 |
| Deep Learning for Automatic Detection and Classification of Microaneurysms, Hard and Soft Exudates, and Hemorrhages for Diabetic Retinopathy Diagnosis SK Saha, B Fernando, D Xiao, ML Tay-Kearney, Y Kanagasingam Investigative Ophthalmology & Visual Science 57 (12), 5962-5962, 2016 | 15 | 2016 |
| Visualizing and understanding inherent image features in CNN-based glaucoma detection D Vaghjiani, S Saha, Y Connan, S Frost, Y Kanagasingam 2020 Digital Image Computing: Techniques and Applications (DICTA), 1-3, 2020 | 14 | 2020 |
| Automated method for the detection and segmentation of drusen in colour fundus image for the diagnosis of age‐related macular degeneration SM Mohaimin, SK Saha, AM Khan, AS Mohammad Arif, Y Kanagasingam IET Image Processing 12 (6), 919-927, 2018 | 14 | 2018 |
| Visualizing and understanding inherent features in SD‐OCT for the progression of age‐related macular degeneration using deconvolutional neural networks S Saha, Z Wang, S Sadda, Y Kanagasingam, Z Hu Applied AI Letters 1 (1), e16, 2020 | 13 | 2020 |
| Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening SK Saha, B Fernando, J Cuadros, D Xiao, Y Kanagasingam arXiv preprint arXiv:1703.02511, 2017 | 13 | 2017 |
| Generating a binary descriptor representing an image patch V Demoulin, S Saha, L Oisel, P Perez US Patent 8,687,892, 2014 | 13 | 2014 |
| EEG source localization using a sparsity prior based on Brodmann areas S Saha, Y Nesterets, R Rana, M Tahtali, F de Hoog, T Gureyev International Journal of Imaging Systems and Technology 27 (4), 333-344, 2017 | 10 | 2017 |
