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Rajendran, Senthilmani and Lim, Jian Han and Yogalingam, Kohgulakuhan and Kallarakkal, Thomas George and Zain, Rosnah and Jayasinghe, Ruwan Duminda and Rimal, Jyotsna and Kerr, Alexander Ross and Amtha, Rahmi and Patil, Karthikeya and Welikala, Roshan Alex and Lim, Ying Zhi and Remagnino, Paolo and Gibson, John and Tilakaratne, Wanninayake Mudiyanselage and Liew, Chee Sun and Yang, Yi-Hsin and Barman, Sarah Ann and Chan, Chee Seng and Cheong, Sok Ching (2023) Image collection and annotation platforms to establish a multi-source database of oral lesions. Oral Diseases, 29 (5). pp. 2230-2238. ISSN 1354-523X, DOI https://doi.org/10.1111/odi.14206.
Welikala, Roshan Alex and Remagnino, Paolo and Lim, Jian Han and Chan, Chee Seng and Rajendran, Senthilmani and Kallarakkal, Thomas George and Zain, Rosnah Binti and Jayasinghe, Ruwan Duminda and Rimal, Jyotsna and Kerr, Alexander Ross and Amtha, Rahmi and Patil, Karthikeya and Tilakaratne, Wanninayake Mudiyanselage and Gibson, John and Cheong, Sok Ching and Barman, Sarah Ann (2020) Automated detection and classification of oral lesions using deep learning for early detection of oral cancer. IEEE Access, 8. pp. 132677-132693. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2020.3010180.
Lee, Sue Han and Chan, Chee Seng and Remagnino, Paolo (2018) Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks. IEEE Transactions on Image Processing, 27 (9). pp. 4287-4301. ISSN 1057-7149, DOI https://doi.org/10.1109/TIP.2018.2836321.
Welikala, Roshan Alex and Remagnino, Paolo and Lim, Jian Han and Chan, Chee Seng and Rajendran, Senthilmani and Kallarakkal, Thomas George and Mohd Zain, Rosnah and Jayasinghe, Ruwan Duminda and Rimal, Jyotsna and Kerr, Alexander Ross and Amtha, Rahmi and Patil, Karthikeya and Tilakaratne, Wanninayake Mudiyanselage and Cheong, Sok Ching and Barman, Sarah Ann (2021) Clinically guided trainable soft attention for early detection of oral cancer. In: 19th International Conference on Computer Analysis of Images and Patterns, CAIP 2021, 28 - 30 September 2021, Virtual, Online.
