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.
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.
Congratulations!!! Wonjun’s work on “A Deep Generative–Discriminative Learning for Multi-modal Representation in Imaging Genetics,” is accepted for publication in IEEE-TMI.
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.
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.
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...
Congratulations!!! Wonjun and Wonsik received the ‘KU Achievement Award.’
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.
Congratulations!!! Seongwoo’s paper, “Continuous Riemannian Geometric Learning for Sleep Staging Classification,” is accepted for presentation in BCI 2022.
Congratulations!!! Jaeun made a successful defense for her MS thesis. She will graduate this coming February.