Yannet Interian
About
Yannet Interian has authored 17 papers that have received a total of 337 indexed citations.
This includes 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Artificial Intelligence and 4 papers in Pulmonary and Respiratory Medicine. The topics of these papers are Radiomics and Machine Learning in Medical Imaging (4 papers), Glioma Diagnosis and Treatment (3 papers) and Complex Network Analysis Techniques (2 papers). Yannet Interian is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Glioma Diagnosis and Treatment (3 papers) and Complex Network Analysis Techniques (2 papers) and collaborates with scholars based in United States, Canada and France. Yannet Interian's co-authors include Gilmer Valdés, Timothy D. Solberg, Efstathios D. Gennatas, Tracy Luks and Annette M. Molinaro and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Radiation Oncology*Biology*Physics
In The Last Decade
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