Caleb Richter
About
Caleb Richter has authored 9 papers that have received a total of 415 indexed citations.
This includes 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Artificial Intelligence and 5 papers in Pulmonary and Respiratory Medicine. The topics of these papers are Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (7 papers) and COVID-19 diagnosis using AI (3 papers). Caleb Richter is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (7 papers) and COVID-19 diagnosis using AI (3 papers) and collaborates with scholars based in United States. Caleb Richter's co-authors include Heang‐Ping Chan, Lubomir M. Hadjiiski, Ravi K. Samala, Mark A. Helvie and H. Kenny and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Physics in Medicine and Biology and Tomography
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