Connor Shorten
About
Connor Shorten has authored 8 papers that have received a total of 6.1k indexed citations.
This includes 7 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning in Healthcare (4 papers), COVID-19 diagnosis using AI (4 papers) and Advanced Neural Network Applications (2 papers). Connor Shorten is often cited by papers focused on Machine Learning in Healthcare (4 papers), COVID-19 diagnosis using AI (4 papers) and Advanced Neural Network Applications (2 papers) and collaborates with scholars based in United States. Connor Shorten's co-authors include Taghi M. Khoshgoftaar, Safiya George Dalmida, Borko Furht, David Newman and Borivoje Furht and has published in prestigious journals such as Journal Of Big Data and Frontiers in Digital Health
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