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Taesung Kim
Taesung Kim
kaist.ac.kr의 이메일 확인됨
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Reversible instance normalization for accurate time-series forecasting against distribution shift
T Kim, J Kim, Y Tae, C Park, JH Choi, J Choo
International Conference on Learning Representations, 2021
1812021
Prediction of hand‐wrist maturation stages based on cervical vertebrae images using artificial intelligence
DW Kim, J Kim, T Kim, T Kim, YJ Kim, IS Song, B Ahn, J Choo, DY Lee
Orthodontics & Craniofacial Research 24, 68-75, 2021
252021
Missing value imputation of time-series air-quality data via deep neural networks
T Kim, J Kim, W Yang, H Lee, J Choo
International journal of environmental research and public health 18 (22), 12213, 2021
192021
End-to-end multi-task learning of missing value imputation and forecasting in time-series data
J Kim, T Kim, JH Choi, J Choo
2020 25th International Conference on Pattern Recognition (ICPR), 8849-8856, 2021
102021
Artificial intelligence-assisted analysis of endoscopic retrograde cholangiopancreatography image for identifying ampulla and difficulty of selective cannulation
T Kim, J Kim, HS Choi, ES Kim, B Keum, YT Jeen, HS Lee, HJ Chun, ...
Scientific Reports 11 (1), 8381, 2021
92021
Quality of laparoscopic camera navigation in robot‐assisted versus conventional laparoscopic surgery for rectal cancer: An analysis of surgical videos through a video …
JS Kim, GN Piozzi, JM Kwak, J Kim, T Kim, J Choo, G Yang, TH Lee, ...
The International Journal of Medical Robotics and Computer Assisted Surgery …, 2022
52022
Morphology-aware interactive keypoint estimation
J Kim, T Kim, T Kim, J Choo, DW Kim, B Ahn, IS Song, YJ Kim
International Conference on Medical Image Computing and Computer-Assisted …, 2022
22022
Bone age estimation method and apparatus
BD Ahn, IS Song, YJ Kim, JG Choo, JH Kim, TS Kim
US Patent App. 17/763,103, 2022
2022
Tu1991 ANALYSIS OF ERCP IMAGE USING ARTIFICAL-INTELLIGENCE FOR IDENTIFYING AMPULLA AND DIFFICULTY OF SELECTIVE CANNULATION
KW Lee, JM Lee, S Kim, HJ Jeon, SJ Choi, HS Choi, ES Kim, B Keum, ...
Gastroenterology 158 (6), S-1246, 2020
2020
IDENTIFYING AMPULLA AND DIFFICULTY OF SELECTIVE CANNULATION WITH ARTIFICIAL-INTELLIGENCE ASSISTED ANALYSIS OF ERCP IMAGE
KW Lee, JM Lee, HJ Jeon, SH Kim, S Jang, SJ Choi, HS Choi, ES Kim, ...
Endoscopy 52 (S 01), OP318, 2020
2020
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