Daniel Racoceanu
About
Daniel Racoceanu has authored 68 papers that have received a total of 2.1k indexed citations.
This includes 40 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 19 papers in Biophysics. The topics of these papers are AI in cancer detection (28 papers), Cell Image Analysis Techniques (19 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Daniel Racoceanu is often cited by papers focused on AI in cancer detection (28 papers), Cell Image Analysis Techniques (19 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers) and collaborates with scholars based in France, Singapore and China. Daniel Racoceanu's co-authors include Diana Mateus, Leo Joskowicz, Purang Abolmaesumi, Ludovic Roux and Danail Stoyanov and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and American Journal Of Pathology
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