Jihun Hamm
About
Jihun Hamm has authored 28 papers that have received a total of 466 indexed citations.
This includes 13 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Science Applications. The topics of these papers are Adversarial Robustness in Machine Learning (6 papers), Privacy-Preserving Technologies in Data (5 papers) and Medical Image Segmentation Techniques (5 papers). Jihun Hamm is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Privacy-Preserving Technologies in Data (5 papers) and Medical Image Segmentation Techniques (5 papers) and collaborates with scholars based in United States, South Korea and China. Jihun Hamm's co-authors include Ragini Verma, Christos Davatzikos, Zhengming Ding, Dong Hye Ye and Kilian M. Pohl and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging
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