The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Berkman Sahiner sits on this spectrum.
This scientist: 365 publications — 84th percentile
84% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Berkman Sahiner sits on this spectrum.
This scientist: 66 D-Index — 84th percentile
84% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Berkman Sahiner is affiliated with the United States Food and Drug Administration. Their research spans multiple disciplines primarily in Medicine and Computer Science, with a focus on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Health Informatics, Pulmonary and Respiratory Medicine, and Biomedical Engineering.
The scientist's work emphasizes topics such as Radiomics and Machine Learning in Medical Imaging, Artificial Intelligence in Healthcare and Education, AI in cancer detection, COVID-19 diagnosis using AI, Machine Learning in Healthcare, Medical Imaging Techniques and Applications, and Advanced X-ray and CT Imaging.
Among notable papers authored or co-authored by Berkman Sahiner are:
Frequent co-authors collaborating with Berkman Sahiner include:
Publications have appeared often in venues such as:
Berkman Sahiner's contributions include work in ensuring fairness and addressing biases in AI models for medical image analysis, investigating challenges such as data drift in medical machine learning, and recommending best practices for AI and machine learning in diagnostic imaging.
The scientist was awarded the SPIE Fellow distinction in 2019.
Berkman Sahiner;Aria Pezeshk;Lubomir M. Hadjiiski;Xiaosong Wang
B. Sahiner;Heang-Ping Chan;N. Petrick;Datong Wei
Metin N. Gurcan;Berkman Sahiner;Nicholas Petrick;Heang Ping Chan
Thomas Schaffter;Diana S. M. Buist;Christoph I. Lee;Yaroslav Nikulin
Yiheng Zhang;Heang Ping Chan;Berkman Sahiner;Jun Wei
Heang-Ping Chan;Berkman Sahiner;Mark A. Helvie;Nicholas Petrick
N. Petrick;Heang-Ping Chan;B. Sahiner;Datong Wei
Heang-Ping Chan;Datong Wei;Mark A. Helvie;Berkman Sahiner
Heang Ping Chan;Berkman Sahiner;Kwok Leung Lam;Nicholas Petrick
Ted W. Way;Lubomir M. Hadjiiski;Berkman Sahiner;Heang Ping Chan
Berkman Sahiner;Heang Ping Chan;Nicholas Petrick;Mark A. Helvie
Heang Ping Chan;Shih Chung B. Lo;Berkman Sahiner;Kwok Leung Lam
Chuan Zhou;Heang-Ping Chan;Nicholas Petrick;Mark A. Helvie
Berkman Sahiner;Heang-Ping Chan;Nicholas Petrick;Mark A. Helvie
B. Sahiner;N. Petrick;Heang-Ping Chan;L.M. Hadjiiski
Heang-Ping Chan;Berkman Sahiner;Lubomir M. Hadjiyski;Chuan Zhou
Berkman Sahiner;Heang Ping Chan;Datong Wei;Nicholas Petrick
Heang-Ping Chan;Berkman Sahiner;Nicholas A. Petrick;Mark A. Helvie
Nicholas Petrick;Heang Ping Chan;Datong Wei;Berkman Sahiner
Datona Wei;Heana Pina Chan;Mark A. Helvie;Berkman Sahiner
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