Artificial Intelligence in Pathology von Chang, Hye Yoon, Jung, Chan Kwon, Woo, Junwoo Isaac, Lee, Sanghun, Cho, Joonyoung, Kim, Sun Woo, Kwak, Tae-Yeong

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Automated Gleason Scoring and Tumor Quantification in Prostate Core Needle Biopsy Images Using Deep Neural Networks and Its Comparison with Pathologist-Based Assessment von Ryu, Han Suk, Jin, Min-Sun, Park, Jeong Hwan, Lee, Sanghun, Cho, Joonyoung, Oh, Sangjun, Kwak, Tae-Yeong, Woo, Junwoo Isaac, Mun, Yechan, Kim, Sun Woo, Hwang, Soohyun, Shin, Su-Jin, Chang, Hyeyoon

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Artificial Intelligence in Pathology von Chang, Hye Yoon, Jung, Chan Kwon, Woo, Junwoo Isaac, Lee, Sanghun, Cho, Joonyoung, Kim, Sun Woo, Kwak, Tae-Yeong

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3Cnet: pathogenicity prediction of human variants using multitask learning with evolutionary constraints von Won, Dhong-gun, Kim, Dong-wook, Woo, Junwoo Isaac, Lee, Kyoungyeul

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3Cnet: Pathogenicity prediction of human variants using knowledge transfer with deep recurrent neural networks von Won, Dhong-gun, Kim, Dong-wook, Woo, Junwoo Isaac, Lee, Kyoungyeul

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