Publications

• Rashindrie Perera, Peter Savas, Damith senanayake, Roberto Salgado, Sandra O’Toole, Jason Li, Sherene Loi, Saman Halgamuge, "Classification of whole-slide images based on tumour infiltrating lymphocyte grades using image-level labels" [Journal Paper under consideration for patent]

• Sanjay Saha, Rashindrie Perera, Sachith Seneviratne, Tamasha Malepathirana, Sanka Rasnayaka, Deshani Geethika, Terence Sim, Saman Halgamuge, "Undercover Deepfakes: Detecting Fake Segments in Videos" [arxiv paper]

• Lupat, R., Perera, R., Loi, S., & Li, J. (2023). Moanna: Multi-Omics Autoencoder-Based Neural Network Algorithm for Predicting Breast Cancer Subtypes. IEEE Access, 11, 10912-10924.

• Perera, R., Malepathirana, T., Abeysinghe, Y., Albar, Y., & Thayasivam, U. (2019, January). Amalgamation of General and Domain Specific Word Embeddings for Improved Hierarchical Aspect Aggregation. In 2019 IEEE 13th International Conference on Semantic Computing (ICSC) (pp. 55-62). IEEE.

• Malepathirana, T., Perera, R., Abeysinghe, Y., Albar, Y., & Thayasivam, U. (2019, May). Adaptation of Multivariate Concept to Multi-Way Agglomerative Clustering for Hierarchical Aspect Aggregation. In The Thirty-Second International Flairs Conference.

Symposiums

• Rashindrie Perera, Peter Savas, Franco Caramia, Jason Li, Sherene Loi, Saman Halgamuge. “Classifying whole slide images based on Tumor Infiltrating Lymphocytes using deep learning”, Lorne Genome February 2022 [Poster]

• Rashindrie Perera, Peter Savas, Franco Caramia, Jason Li, Sherene Loi, Saman Halgamuge. “Classifying whole slide images based on Tumor Infiltrating Lymphocytes using deep learning”., In: Comprehensive Cancer PhD Program Student Symposium [Oral Presentation]

• Rashindrie Perera, Peter Savas, Franco Caramia, Jason Li, Sherene Loi, Saman Halgamuge. “Deep feature based classification of Breast Cancer Whole Slide Images using Tumor Infiltrating Lymphocyte Grade”. , In: Deep Learning in Medical Biology Symposium 2020  [Abstract, Oral Presentation]