Daniel J. Mollura
About
Daniel J. Mollura has authored 82 papers that have received a total of 5.6k indexed citations.
This includes 50 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Pulmonary and Respiratory Medicine and 16 papers in Epidemiology. The topics of these papers are Radiomics and Machine Learning in Medical Imaging (21 papers), COVID-19 diagnosis using AI (17 papers) and Medical Imaging Techniques and Applications (16 papers). Daniel J. Mollura is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (21 papers), COVID-19 diagnosis using AI (17 papers) and Medical Imaging Techniques and Applications (16 papers) and collaborates with scholars based in United States, United Kingdom and Peru. Daniel J. Mollura's co-authors include Ulaş Bağcı, Ziyue Xu, Brent Foster, Sanjay K. Jain and Jianhua Yao and has published in prestigious journals such as PLoS ONE, Journal of Virology and Radiology
In The Last Decade
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