Author: milab

Home / milab
Accepted to IEEE-JBHI
Post

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.

Accepted to IEEE-TMI
Post

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. 

Accepted to Diagnostics
Post

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...

Accepted to ICASSP2022
Post

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.