Sema Candemir
About
Sema Candemir has authored 32 papers that have received a total of 1.6k indexed citations.
This includes 22 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. The topics of these papers are COVID-19 diagnosis using AI (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and AI in cancer detection (11 papers). Sema Candemir is often cited by papers focused on COVID-19 diagnosis using AI (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and AI in cancer detection (11 papers) and collaborates with scholars based in United States, Germany and China. Sema Candemir's co-authors include Sameer Antani, George R. Thoma, Stefan Jaeger, Zhiyun Xue and Luciano M. Prevedello and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Access and Applied Sciences
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