| Crop lodging prediction from UAV-acquired images of wheat and canola using a DCNN augmented with handcrafted texture features S Mardanisamani, F Maleki, S Hosseinzadeh Kassani, S Rajapaksa, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 63 | 2019 |
| Classification of crop lodging with gray level co-occurrence matrix S Rajapaksa, M Eramian, H Duddu, M Wang, S Shirtliffe, S Ryu, ... 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 251-258, 2018 | 40 | 2018 |
| Localized perturbations for weakly-supervised segmentation of glioma brain tumours S Rajapaksa, F Khalvati arXiv preprint arXiv:2111.14953, 2021 | 6 | 2021 |
| Using Large Text To Image Models with Structured Prompts for Skin Disease Identification: A Case Study S Rajapaksa, JMU Vianney, R Castro, F Khalvati, S Aich Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| Relevance Maps: A Weakly-Supervised Segmentation Method for 3D Brain Tumour In MRIs S Rajapaksa, F Khalvati Frontiers in Radiology 2 (2022), 44, 2022 | 1 | 2022 |
| Combining Weakly Supervised Segmentation with Multitask Learning for Improved 3D MRI Brain Tumour Classification S Rajapaksa, K Namdar, F Khalvati Workshop on Medical Image Learning with Limited and Noisy Data, 171-180, 2023 | | 2023 |
| Optimized Global Perturbation Attacks For Brain Tumour ROI Extraction From Binary Classification Models S Rajapaksa, F Khalvati arXiv preprint arXiv:2211.04926, 2022 | | 2022 |
| Weakly Supervised Perturbation Based Method for 3D Brain Tumour Segmentation SM Rajapaksa University of Toronto (Canada), 2022 | | 2022 |
