Congratulations!!! Seungwoo’s paper on “Deep Geometrical Learning for Alzheimer’s Disease Progression Modeling” is accepted to present in ICDM 2022 as a regular paper (acceptance rate: 9.77%). S. Jeong, W. Jung, J. Sohn, and H.-I. Suk, “Deep Geometrical Learning for Alzheimer’s Disease Progression Modeling,” ICDM2022 (Accepted).

Congratulations!!! Jaeun’s paper on “TransSleep: Transitioning-aware Attention-based Deep Neural Network for Sleep Staging,” has been accepted to IEEE Transactions on Cybernetics.

Congratulations!!! Wonjun’s work on “EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation” has been accepted to present at CIKM2022.

Congratulations!! Kwanseok and Jee-Seok’s (Co-first) paper, “Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer’s Disease Diagnosis Model,” has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI).

Congratulations!!! We have 4 papers accepted to present at CKAIA 2022.

Congratulations!!! Jaehyun’s work has been accepted to present in KIISE-KCC 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.

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.