Leonard Lausen

3 papers and 107 indexed citations i.

Leonard Lausen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Leonard Lausen has authored 3 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Leonard Lausen’s work include COVID-19 diagnosis using AI (1 paper), Advanced Neural Network Applications (1 paper) and Multimodal Machine Learning Applications (1 paper). Leonard Lausen is often cited by papers focused on COVID-19 diagnosis using AI (1 paper), Advanced Neural Network Applications (1 paper) and Multimodal Machine Learning Applications (1 paper). Leonard Lausen collaborates with scholars based in United States and Germany. Leonard Lausen's co-authors include Sheng Zha, He He, Zhang Zhi, Chenguang Wang, Zhongyue Zhang, Xingjian Shi, Mu Li, Junyuan Xie, Haibin Lin and Hang Zhang and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Proceedings of the AAAI Conference on Artificial Intelligence.