Megumi Nakao
About
Megumi Nakao has authored 82 papers that have received a total of 920 indexed citations.
This includes 31 papers in Biomedical Engineering, 28 papers in Surgery and 22 papers in Computer Vision and Pattern Recognition. The topics of these papers are Surgical Simulation and Training (20 papers), Medical Image Segmentation Techniques (15 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Megumi Nakao is often cited by papers focused on Surgical Simulation and Training (20 papers), Medical Image Segmentation Techniques (15 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers) and collaborates with scholars based in Japan and United States. Megumi Nakao's co-authors include Tetsuya Matsuda, Toyofumi F. Chen‐Yoshikawa, N. Ueda, Tadaaki Kirita and Hiroshi Ōyama and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and PLoS ONE
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