Lasitha Vidyaratne
About
Lasitha Vidyaratne has authored 29 papers that have received a total of 540 indexed citations.
This includes 13 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Neurology. The topics of these papers are Brain Tumor Detection and Classification (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Lasitha Vidyaratne is often cited by papers focused on Brain Tumor Detection and Classification (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers) and collaborates with scholars based in United States and United Kingdom. Lasitha Vidyaratne's co-authors include Khan M. Iftekharuddin, Mahbubul Alam, Linmin Pei, Sarah Cousineau and Malachi Schram and has published in prestigious journals such as Scientific Reports, Neural Networks and IEEE Transactions on Neural Networks and Learning Systems
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