Bram Geurts
About
Bram Geurts has authored 10 papers that have received a total of 686 indexed citations.
This includes 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Epidemiology. The topics of these papers are Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and COVID-19 diagnosis using AI (3 papers). Bram Geurts is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and COVID-19 diagnosis using AI (3 papers) and collaborates with scholars based in The Netherlands, United States and Germany. Bram Geurts's co-authors include Cornelia Schaefer‐Prokop, Bram van Ginneken, Mathias Prokop, Monique Brink and Ernst T. Scholten and has published in prestigious journals such as Radiology, CHEST Journal and Annals of the Rheumatic Diseases.
In The Last Decade
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