Matthew T. Freedman

159 papers and 2.3k indexed citations i.

Matthew T. Freedman has authored 159 papers that have received a total of 2.3k indexed citations. This includes 79 papers in Radiology, Nuclear Medicine and Imaging, 63 papers in Artificial Intelligence and 54 papers in Pulmonary and Respiratory Medicine. The topics of these papers are AI in cancer detection (59 papers), Radiomics and Machine Learning in Medical Imaging (33 papers) and Digital Radiography and Breast Imaging (32 papers). Matthew T. Freedman is often cited by papers focused on AI in cancer detection (59 papers), Radiomics and Machine Learning in Medical Imaging (33 papers) and Digital Radiography and Breast Imaging (32 papers) and collaborates with scholars based in United States, Canada and Egypt. Matthew T. Freedman's co-authors include Seong K. Mun, Shih‐Chung B. Lo, Jyh-Shyan Lin, S.-C.B. Lo and Akira Hasegawa and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Journal of Bone and Joint Surgery.