| RETOUCH: The retinal OCT fluid detection and segmentation benchmark and challenge H Bogunović, F Venhuizen, S Klimscha, S Apostolopoulos, ... IEEE transactions on medical imaging 38 (8), 1858-1874, 2019 | 191 | 2019 |
| Robust model fitting using higher than minimal subset sampling RB Tennakoon, A Bab-Hadiashar, Z Cao, R Hoseinnezhad, D Suter IEEE transactions on pattern analysis and machine intelligence 38 (2), 350-362, 2015 | 69 | 2015 |
| Retinal fluid segmentation in OCT images using adversarial loss based convolutional neural networks R Tennakoon, AK Gostar, R Hoseinnezhad, A Bab-Hadiashar 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 63 | 2018 |
| A novel hybrid approach for severity assessment of diabetic retinopathy in colour fundus images P Roy, R Tennakoon, K Cao, S Sedai, D Mahapatra, S Maetschke, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 55 | 2017 |
| Cooperative sensor fusion in centralized sensor networks using Cauchy–Schwarz divergence AK Gostar, T Rathnayake, R Tennakoon, A Bab-Hadiashar, G Battistelli, ... Signal Processing 167, 107278, 2020 | 43 | 2020 |
| Image quality classification for DR screening using convolutional neural networks R Tennakoon, D Mahapatra, P Roy, S Sedai, R Garnavi Proceedings of the ophthalmic medical image analysis international workshop …, 2016 | 43 | 2016 |
| Centralized cooperative sensor fusion for dynamic sensor network with limited field-of-view via labeled multi-Bernoulli filter AK Gostar, T Rathnayake, R Tennakoon, A Bab-Hadiashar, G Battistelli, ... IEEE Transactions on Signal Processing 69, 878-891, 2020 | 36 | 2020 |
| Multi-stage segmentation of the fovea in retinal fundus images using fully convolutional neural networks S Sedai, R Tennakoon, P Roy, K Cao, R Garnavi 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 29 | 2017 |
| On-line visual tracking with occlusion handling T Rathnayake, A Khodadadian Gostar, R Hoseinnezhad, R Tennakoon, ... Sensors 20 (3), 929, 2020 | 25 | 2020 |
| Itsa: An information-theoretic approach to automatic shortcut avoidance and domain generalization in stereo matching networks WQ Chuah, R Tennakoon, R Hoseinnezhad, A Bab-Hadiashar, D Suter Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 23 | 2022 |
| Classification of volumetric images using multi-instance learning and extreme value theorem R Tennakoon, G Bortsova, S Ørting, AK Gostar, MMW Wille, Z Saghir, ... IEEE transactions on medical imaging 39 (4), 854-865, 2019 | 21 | 2019 |
| Motion segmentation of rgb-d sequences: Combining semantic and motion information using statistical inference S Muthu, R Tennakoon, T Rathnayake, R Hoseinnezhad, D Suter, ... IEEE Transactions on Image Processing 29, 5557-5570, 2020 | 20 | 2020 |
| A deep learning approach to handwritten text recognition in the presence of struck-out text H Nisa, JA Thom, V Ciesielski, R Tennakoon 2019 international conference on image and vision computing New Zealand …, 2019 | 19 | 2019 |
| Effective sampling: Fast segmentation using robust geometric model fitting R Tennakoon, A Sadri, R Hoseinnezhad, A Bab-Hadiashar IEEE Transactions on Image Processing 27 (9), 4182-4194, 2018 | 19 | 2018 |
| Single-image localisation using 3D models: Combining hierarchical edge maps and semantic segmentation for domain adaptation D Acharya, R Tennakoon, S Muthu, K Khoshelham, R Hoseinnezhad, ... Automation in Construction 136, 104152, 2022 | 17 | 2022 |
| Random finite set-based anomaly detection for safety monitoring in construction sites AM Kamoona, AK Gostar, R Tennakoon, A Bab-Hadiashar, D Accadia, ... Ieee Access 7, 105710-105720, 2019 | 17 | 2019 |
| Automatic segmentation for synchrotron-based imaging of porous bread dough using deep learning approach S Ali, S Mayo, AK Gostar, R Tennakoon, A Bab-Hadiashar, T MCann, ... Journal of Synchrotron Radiation 28 (2), 566-575, 2021 | 12 | 2021 |
| Deep learning-based incorporation of planar constraints for robust stereo depth estimation in autonomous vehicle applications W Chuah, R Tennakoon, R Hoseinnezhad, A Bab-Hadiashar IEEE Transactions on Intelligent Transportation Systems 23 (7), 6654-6665, 2021 | 12 | 2021 |
| Early prediction of age related macular degeneration by image reconstruction D Mahapatra, R Garnavi, S Sedai, R Tennakoon, R Chakravorty US Patent 9, 2018, 2018 | 12 | 2018 |
| Unsupervised domain adaptation using feature disentanglement and gcns for medical image classification D Mahapatra, S Korevaar, B Bozorgtabar, R Tennakoon European Conference on Computer Vision, 735-748, 2022 | 11 | 2022 |
Alireza Bab-HadiasharRMIT UniversityVerified email at rmit.edu.au
