Congratulations!!! We have 4 papers accepted to present at CKAIA 2022.
Author: milab
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Accepted to KIISE-KCC 2022
Congratulations!!! Jaehyun’s work has been accepted to present in KIISE-KCC 2022.
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2 Papers Accepted to MICCAI 2022
Congratulations!!! Eunsong and Jieun’s papers are early accepted for presentation at MICCAI 2022.Both of their works are among the top 13% (out of 1825) that received a provisional accept recommendation.
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Accepted to IEEE-JBHI
Congratulations. Yurim and Eunji’s work on “Multi-view Integrative Attention-based Deep Representation Learning for Irregular Clinical Time-series Data” is accepted for publication by IEEE-JBHI.
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Accepted to IEEE-TMI
Congratulations!!! Wonjun’s work on “A Deep Generative–Discriminative Learning for Multi-modal Representation in Imaging Genetics,” is accepted for publication in IEEE-TMI.
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Accepted to Korean Journal of Radiology
Congratulations!!! A paper on Deep Learning-Based Assessment of Functional Liver Capacity Using Gadoxetic Acid-Enhanced Hepatobiliary Phase Magnetic Resonance Imaging has been accepted for publication in Korean Journal of Radiology.
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Accepted to Scientific Reports
Congratulations!!! Wonjun’s paper, “Semi-Supervised Generative and Discriminative Adversarial Learning for Motor Imagery-based Brain-Computer Interface” is accepted for publication in Scientific Reports.
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Accepted to Diagnostics
Congratulation!! A paper on accuracy and efficiency of right-lobe graft weight estimation using deep learning-assisted CT volumetry for living donor liver transplantation has been accepted for publication in Diagnostics. Seung Soo Lee *, Rohee Park, Yu Sub Sung, Jee Seok Yoon, Heung-Il Suk, Hyoung Jung Kim, Sang Hyun Choi, “accuracy and efficiency of right-lobe graft...
![[KU Achievement Award] 고원준, 정원식 수상](https://milab.korea.ac.kr/wordpress/wp-content/uploads/2022/03/Ku_achievement-300x300.jpg "Ku_achievement")
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[KU Achievement Award] 고원준, 정원식 수상
Congratulations!!! Wonjun and Wonsik received the ‘KU Achievement Award.’
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Accepted to ICASSP2022
Congratulations!!! Jaeun’s paper, “Enhancing Contextual Encoding with Stage-Confusion and Stage-Transition Estimation for EEG-Based Sleep Staging,” is accepted for presentation at ICASSP2022.