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Showing results 1 to 4 of 4

Issue DateTitleAuthor(s)TypeView
2019-11CPEM: Accurate cancer type classification based on somatic alterations using an ensemble of a random forest and a deep neural networkLee, Kanggeun; Jeong, Hyoung-oh; Lee, Semin; Jeong, Won-KiARTICLE867
2021-01PAIP 2019: Liver cancer segmentation challengeKim, Yoo Jung; Jang, Hyungjoon; Lee, Kyoungbun; Park, Seongkeun; Min, Sung-Gyu; Hong, Choyeon; Park, Jeong Hwan; Lee, Kanggeun; Kim, Jisoo; Hong, Wonjae; Jung, Hyun; Liu, Yanling; Rajkumar, Haran; Khened, Mahendra; Krishnamurthi, Ganapathy; Yang, Sen; Wang, Xiyue; Han, Chang Hee; Kwak, Jin Tae; Ma, Jianqiang; Tang, Zhe; Marami, Bahram; Zeineh, Jack; Zhao, Zixu; Heng, Pheng-Ann; Schmitz, Ruediger; Madesta, Frederic; Roesch, Thomas; Werner, Rene; Tian, Jie; Puybareau, Elodie; Bovio, Matteo; Zhang, Xiufeng; Zhu, Yifeng; Chun, Se Young; Jeong, Won-Ki; Park, Peom; Choi, JinwookARTICLE1058
2023-01RAMP: response-aware multi-task learning with contrastive regularization for cancer drug response predictionLee, Kanggeun; Cho, Dongbin; Jang, Jinho; Choi, Kang; Jeong, Hyoung-oh; Seo, Jiwon; Jeong, Won-Ki; Lee, SeminARTICLE1403
2022-02Towards Self-Supervised Learning for Image RestorationSim, Jae-Young; Lee, KanggeunDoctoral thesis2393
Showing results 1 to 4 of 4

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