Berkman Sahiner
About
Berkman Sahiner has authored 267 papers that have received a total of 6.9k indexed citations.
This includes 183 papers in Radiology, Nuclear Medicine and Imaging, 174 papers in Artificial Intelligence and 94 papers in Pulmonary and Respiratory Medicine. The topics of these papers are AI in cancer detection (151 papers), Radiomics and Machine Learning in Medical Imaging (137 papers) and Digital Radiography and Breast Imaging (55 papers). Berkman Sahiner is often cited by papers focused on AI in cancer detection (151 papers), Radiomics and Machine Learning in Medical Imaging (137 papers) and Digital Radiography and Breast Imaging (55 papers) and collaborates with scholars based in United States, Thailand and Malaysia. Berkman Sahiner's co-authors include Heang‐Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Nicholas Petrick and Jun Wei and has published in prestigious journals such as PLoS ONE, Radiology and IEEE Transactions on Image Processing
In The Last Decade
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