Noise2Kernel: Adaptive Self-Supervised Blind Denoising Using a Dilated Convolutional Kernel Architecture von Lee, Kanggeun, Jeong, Won-Ki

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CPEM: Accurate cancer type classification based on somatic alterations using an ensemble of a random forest and a deep neural network von Lee, Kanggeun, Jeong, Hyoung-oh, Lee, Semin, Jeong, Won-Ki

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ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising von Lee, Kanggeun, Jeong, Won-Ki

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PAIP 2019: Liver cancer segmentation challenge von Kim, 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, Rüdiger, Madesta, Frederic, Rösch, Thomas, Werner, Rene, Tian, Jie, Puybareau, Elodie, Bovio, Matteo, Zhang, Xiufeng, Zhu, Yifeng, Chun, Se Young, Jeong, Won-Ki, Park, Peom, Choi, Jinwook

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RAMP: response-aware multi-task learning with contrastive regularization for cancer drug response prediction von Lee, Kanggeun, Cho, Dongbin, Jang, Jinho, Choi, Kang, Jeong, Hyoung-oh, Seo, Jiwon, Jeong, Won-Ki, Lee, Semin

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DEVICE AND METHOD FOR TEXTURE-AWARE SELF-SUPERVISED BLIND DENOISING USING SELF-RESIDUAL LEARNING von JEONG, Wonki, LEE, Kanggeun

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DEVICE AND METHOD FOR TEXTURE-AWARE SELF-SUPERVISED BLIND DENOISING USING SELF-RESIDUAL LEARNING von Lee, Kanggeun, Jeong, Wonki

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I2V: Towards Texture-Aware Self-Supervised Blind Denoising using Self-Residual Learning for Real-World Images von Lee, Kanggeun, Lee, Kyungryun, Jeong, Won-Ki

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ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising von Lee, Kanggeun, Jeong, Won-Ki

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Noise2Kernel: Adaptive Self-Supervised Blind Denoising using a Dilated Convolutional Kernel Architecture von Lee, Kanggeun, Jeong, Won-Ki

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Scribble-supervised Cell Segmentation Using Multiscale Contrastive Regularization von Oh, Hyun-Jic, Lee, Kanggeun, Jeong, Won-Ki

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ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising von Lee, Kanggeun, Won-Ki Jeong

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I2V: Towards Texture-Aware Self-Supervised Blind Denoising using Self-Residual Learning for Real-World Images von Lee, Kanggeun, Lee, Kyungryun, Won-Ki Jeong

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DEVICE AND METHOD FOR TEXTURE-AWARE SELF-SUPERVISED BLIND DENOISING USING SELF-RESIDUAL LEARNING von JEONG WONKI, LEE KANGGEUN

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Noise2Kernel: Adaptive Self-Supervised Blind Denoising using a Dilated Convolutional Kernel Architecture von Lee, Kanggeun, Won-Ki Jeong

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Scribble-supervised Cell Segmentation Using Multiscale Contrastive Regularization von Oh, Hyun-Jic, Lee, Kanggeun, Won-Ki Jeong

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DEVICE AND METHOD FOR TEXTURE-AWARE SELF-SUPERVISED BLIND DENOISING USING SELF-RESIDUAL LEARNING von WON KI JEONG, KANGGEUN LEE

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Method of removing noise using adaptive self-supervised learning von WON KI JEONG, KANGGEUN LEE

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Brain Neural Network Structure Image Processing System Brain Neural Network Structure Image Processing Method and a computer-readable storage medium von WON KI JEONG, KANGGEUN LEE, CHANMIN PARK

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METHOD APPARATUS AND RECORDING MEDIUM FOR CELL IMAGE SEGMENTATION USING SCRIBBLE LABELS AND MULTI-SCALE CONTRASTIVE LOSS FUNCTION von WON KI JEONG, OH HYUN JIC, KANGGEUN LEE

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