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.
 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]
[Best Paper Award] 2019 KIISE-KCC June 27, 2019 Congratulations! Jiyeon’s paper, titled “Multi-Level Graph Convolutional Network for Resting-State fMRI Based Autism Spectrum Disorder Diagnosis”, is awarded as the “Best Paper” in 2019 KIISE Korea Computer Congress, held at Jeju island on June 26-28, 2019.
Congratulations!!! Wonsik’s paper, titled “Unified Modeling of Imputation, Forecasting, and Prediction for AD Progression,” is accepted at MICCAI 2019.