Berkman Sahiner
United States Food and Drug Administration(US)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Digital Radiography and Breast Imaging, Medical Imaging Techniques and Applications, Colorectal Cancer Screening and Detection
Most-Cited Works
- → Deep learning in medical imaging and radiation therapy(2018)725 cited
- → Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images(1996)422 cited
- → Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms(2020)405 cited
- → Lung nodule detection on thoracic computed tomography images: Preliminary evaluation of a computer‐aided diagnosis system(2002)311 cited
- → A comparative study of limited‐angle cone‐beam reconstruction methods for breast tomosynthesis(2006)280 cited
- → Improvement of Radiologists' Characterization of Mammographic Masses by Using Computer-aided Diagnosis: An ROC Study(1999)243 cited