Author: milab

[Best Presentation Paper Award] 2019 KHBM November 1, 2019 Congratulations! Eunjin and Wonjun’s paper, titled “Learning Subject-Invariant and Class-Relevant Feature Representation for Motor Imagery-based BCI”, is awarded as the “Best Presentation Paper” in 2019 Autumn Symposium, Korean Society for Human Brain Mapping, held at Suwon on November 1, 2019. 고원준 연구원이 KHBM 구연기초 수상하였습니다. 축하합니다!!

[Young Researcher Award] 2019 KHBM November 1, 2019 Congratulations! Professor Suk, Heung-Il awarded as the “Young Researcher Award” in 2019 KHBM. 석흥일 교수님께서 KHBM 젊은 연구자상 (Young Researcher Award) 수상하였습니다. 축하합니다!!

Congratulations! Eunho’s paper on interpretable AD diagnostic model with DL has been accepted for publication in NeuroImage. E. Lee, J.-S. Choi, M. Kim, and H.-I. SUK, “Toward an Interpretable Alzheimer’s Disease Diagnostic Model with Regional Abnormality Representation via Deep Learning,” NeuroImage, 2019 (2018-JCR-IF: 5.812, NEUROIMAGING: 1/14, RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: 11/129)

[Best Presentation Paper Award] 2019 KIISE-KCC June 27, 2019 Congratulations! Wonsik’s paper, titled “Alzheimer’s Disease Progression Modeling using Missing Value Imputation through Data-Driven Temporal and Multivariate Correlation”, is awarded as the “Best Presentation Paper” in 2019 KIISE Korea Computer Congress, held at Jeju island on June 26-28, 2019.

[2019] Special Issue on Machine Learning in Medical Imaging L. Wang, Y. Shi, H.-I. SUK, A. Noble, G. Hamarneh (Eds.), Computerized Medical Imaging and Graphics, Mar 2019. [Link]