| Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection BC Kim, JS Yoon, JS Choi, HI Suk Neural Networks 115, 1-10, 2019 | 82 | 2019 |
| Mutual information-driven subject-invariant and class-relevant deep representation learning in BCI E Jeon, W Ko, JS Yoon, HI Suk IEEE Transactions on Neural Networks and Learning Systems 34 (2), 739-749, 2021 | 57 | 2021 |
| Deep learning algorithm for automated segmentation and volume measurement of the liver and spleen using portal venous phase computed tomography images Y Ahn, JS Yoon, SS Lee, HI Suk, JH Son, YS Sung, Y Lee, BK Kang, ... Korean journal of radiology 21 (8), 987, 2020 | 45 | 2020 |
| Deep recurrent spatio-temporal neural network for motor imagery based BCI W Ko, JS Yoon, E Kang, E Jun, JS Choi, HI Suk Brain-Computer Interface (BCI), 2018 6th International Conference on, 1-3, 2018 | 36 | 2018 |
| Learn-explain-reinforce: counterfactual reasoning and its guidance to reinforce an Alzheimer's Disease diagnosis model K Oh, JS Yoon, HI Suk IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4843-4857, 2022 | 20 | 2022 |
| An index based on deep learning–measured spleen volume on CT for the assessment of high-risk varix in B-viral compensated cirrhosis C Lee, SS Lee, WM Choi, KM Kim, YS Sung, S Lee, SJ Lee, JS Yoon, ... European Radiology 31, 3355-3365, 2021 | 20 | 2021 |
| Liver-to-spleen volume ratio automatically measured on CT predicts decompensation in patients with B viral compensated cirrhosis JH Kwon, SS Lee, JS Yoon, HI Suk, YS Sung, HS Kim, C Lee, KM Kim, ... Korean journal of radiology 22 (12), 1985, 2021 | 14 | 2021 |
| Population-based and personalized reference intervals for liver and spleen volumes in healthy individuals and those with viral hepatitis DW Kim, J Ha, SS Lee, JH Kwon, NY Kim, YS Sung, JS Yoon, HI Suk, ... Radiology 301 (2), 339-347, 2021 | 13 | 2021 |
| Sadm: Sequence-aware diffusion model for longitudinal medical image generation JS Yoon, C Zhang, HI Suk, J Guo, X Li International Conference on Information Processing in Medical Imaging, 388-400, 2023 | 12 | 2023 |
| Deep learning-based assessment of functional liver capacity using gadoxetic acid-enhanced hepatobiliary phase MRI HJ Park, JS Yoon, SS Lee, HI Suk, B Park, YS Sung, SB Hong, H Ryu Korean journal of radiology 23 (7), 720, 2022 | 9 | 2022 |
| Estimating explainable Alzheimer’s disease likelihood map via clinically-guided prototype learning AW Mulyadi, W Jung, K Oh, JS Yoon, KH Lee, HI Suk NeuroImage 273, 120073, 2023 | 7 | 2023 |
| Semi-supervised generative and discriminative adversarial learning for motor imagery-based brain–computer interface W Ko, E Jeon, JS Yoon, HI Suk Scientific reports 12 (1), 4587, 2022 | 7 | 2022 |
| Accuracy and efficiency of right-lobe graft weight estimation using deep-learning-assisted CT volumetry for living-donor liver transplantation R Park, S Lee, Y Sung, J Yoon, HI Suk, H Kim, S Choi Diagnostics 12 (3), 590, 2022 | 6 | 2022 |
| XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning AW Mulyadi, W Jung, K Oh, JS Yoon, HI Suk arXiv preprint arXiv:2207.13223, 2022 | 4 | 2022 |
| A plug-in method for representation factorization in connectionist models JS Yoon, MC Roh, HI Suk IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3792-3803, 2021 | 3 | 2021 |
| Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision K Oh, JS Yoon, HI Suk arXiv preprint arXiv:2011.10381, 2020 | 3 | 2020 |
| Prediction of decompensation and death in advanced chronic liver disease using deep learning analysis of gadoxetic acid-enhanced MRI S Heo, SS Lee, SY Kim, YS Lim, HJ Park, JS Yoon, HI Suk, YS Sung, ... Korean journal of radiology 23 (12), 1269, 2022 | 2 | 2022 |
| Domain Generalization for Medical Image Analysis: A Survey JS Yoon, K Oh, Y Shin, MA Mazurowski, HI Suk arXiv preprint arXiv:2310.08598, 2023 | 1 | 2023 |
| 딥러닝 기반의 멀티-모달 MRI 영상에서의 뇌종양 영역 분할 윤지석， 석흥일 한국정보과학회 학술발표논문집, 1680-1682, 2016 | 1 | 2016 |
| An introduction to neural networks and deep learning AW Mulyadi, JS Yoon, E Jeon, W Ko, HI Suk Deep Learning for Medical Image Analysis, 3-31, 2024 | | 2024 |
Heung-Il SukDept. of Artificial Intelligence, Dept. of Brain and Cognitive Engineering, Koreakorea.ac.kr의 이메일 확인됨
