Category / Sungroh Yoon
Cracking the code of personalized medicine
Advertisement Feature (not a peer reviewed research article) in Nature Research, March 2019.
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Real-Time Anomalous Branch Behavior Detection with a GPU-Inspired Engine for Machine Learning Models
Hyunyoung Oh, Hayoon Yi, Hyeokjun Choe, Yeongpil Cho, Sungroh Yoon, Yunheung Paek, in Proceedings of Design, Automation and Test in Europe (DATE), Florence, Italy, March 2019.
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Changes in Lesional and Non-lesional Skin Microbiome During Treatment of Atopic Dermatitis
Sunyoung Kwon, Ji Young Choi, Jung-Won Shin, Chang-Hun Huh, Kyoung-Chan Park, Mi-Hee Du, Sungroh Yoon, Jung-Im Na, Acta Dermato-Venereologica, vol. 99, no. 3, pp. 284-290, February 2019.
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Detecting System Anomalies in Multivariate Time Series with Information Transfer and Random Walk
Jongsun Lee, Hyun-Soo Choi, Yongkweon Jeon, Yongsik Kwon, Donghun Lee, Sungroh Yoon, in Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Zurich, Switzerland, December 2018.
preprint link
Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector
Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon, in Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) , LNCS vol. 11071, pp. 693–701, Granada, Spain, September 2018.
paper link arXiv