Dorit D. Adler
About
Dorit D. Adler has authored 69 papers that have received a total of 3.2k indexed citations.
This includes 33 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Artificial Intelligence and 23 papers in Oncology. The topics of these papers are AI in cancer detection (26 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and Breast Lesions and Carcinomas (18 papers). Dorit D. Adler is often cited by papers focused on AI in cancer detection (26 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and Breast Lesions and Carcinomas (18 papers) and collaborates with scholars based in United States, Israel and Sweden. Dorit D. Adler's co-authors include Mark A. Helvie, Heang‐Ping Chan, Berkman Sahiner, Nicholas Petrick and Mitchell M. Goodsitt and has published in prestigious journals such as PEDIATRICS, Radiology and International Journal of Radiation Oncology*Biology*Physics
In The Last Decade
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