Debdoot Sheet

55 papers and 1.1k indexed citations i.

Debdoot Sheet has authored 55 papers that have received a total of 1.1k indexed citations. This includes 26 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Computer Vision and Pattern Recognition and 17 papers in Biomedical Engineering. The topics of these papers are AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Photoacoustic and Ultrasonic Imaging (9 papers). Debdoot Sheet is often cited by papers focused on AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Photoacoustic and Ultrasonic Imaging (9 papers) and collaborates with scholars based in India, Germany and United States. Debdoot Sheet's co-authors include Jyotirmoy Chatterjee, Nassir Navab, Abhijit Guha Roy, Amin Katouzian and Stéphane Carlier and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Journal of Ethnopharmacology and IEEE Access.