Classification of Crop Lodging with Gray Level Co-occurrence Matrix. - Sajith Rajapaksa; Mark G. Eramian; Hema Sudhakar Duddu; Menglu Wang 001; Steve Shirtliffe; Seungbum Ryu; Anique Josuttes; Ti Zhang; Sally Vail; Curtis Pozniak; Isobel Parkin (WACV, 2018)

Crop Lodging Prediction From UAV-Acquired Images of Wheat and Canola Using a DCNN Augmented With Handcrafted Texture Features. - Sara Mardanisamani; Farhad Maleki; Sara Hosseinzadeh Kassani; Sajith Rajapaksa; Hema Sudhakar Duddu; Menglu Wang 001; Steve Shirtliffe; Seungbum Ryu; Anique Josuttes; Ti Zhang; Sally Vail; Curtis Pozniak; et al. (CVPR Workshops, 2019)

Localized Perturbations For Weakly-Supervised Segmentation of Glioma Brain Tumours. - Sajith Rajapaksa; Farzad Khalvati (CoRR, 2021)

Optimized Global Perturbation Attacks For Brain Tumour ROI Extraction From Binary Classification Models. - Sajith Rajapaksa; Farzad Khalvati (CoRR, 2022)

Using Large Text To Image Models with Structured Prompts for Skin Disease Identification: A Case Study. - Sajith Rajapaksa; Jean Marie Uwabeza Vianney; Renell Castro; Farzad Khalvati; Shubhra Aich (ICCV (Workshops), 2023)

Combining Weakly Supervised Segmentation with Multitask Learning for Improved 3D MRI Brain Tumour Classification. - Sajith Rajapaksa; Khashayar Namdar; Farzad Khalvati (MILLanD@MICCAI, 2023)