Thomas de Bel

14 papers and 729 indexed citations i.

Thomas de Bel has authored 14 papers that have received a total of 729 indexed citations. This includes 10 papers in Artificial Intelligence, 5 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Colorectal Cancer Screening and Detection (3 papers). Thomas de Bel is often cited by papers focused on AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Colorectal Cancer Screening and Detection (3 papers) and collaborates with scholars based in The Netherlands, Sweden and United States. Thomas de Bel's co-authors include Jeroen van der Laak, Geert Litjens, Bart Smeets, Hans Pinckaers and Hester van Boven and has published in prestigious journals such as Cancer Research, The FASEB Journal and Scientific Reports