Region-Wise Stochastic Pattern Modeling for Autism Spectrum Disorder Identification and Temporal Dynamics Analysis. - Eunji Jun; Heung-Il Suk (CNI@MICCAI, 2017)

Deep recurrent spatio-temporal neural network for motor imagery based BCI. - Wonjun Ko; Jee Seok Yoon; Eunsong Kang; Eunji Jun; Jun-Sik Choi; Heung-Il Suk (BCI, 2018)

Stochastic Imputation and Uncertainty-Aware Attention to EHR for Mortality Prediction. - Eunji Jun; Ahmad Wisnu Mulyadi; Heung-Il Suk (IJCNN, 2019)

Modeling regional dynamics in low-frequency fluctuation and its application to Autism spectrum disorder diagnosis. - Eunji Jun; Eunsong Kang; Jaehun Choi; Heung-Il Suk (NeuroImage, 2019)

Deep Recurrent Disease Progression Model for Conversion-Time Prediction of Alzheimer's Disease. - Wonsik Jung; Eunji Jun; Heung-Il Suk (CoRR, 2020)

Multi-view Integration Learning for Irregularly-sampled Clinical Time Series. - Yurim Lee 002; Eunji Jun; Heung-Il Suk (CoRR, 2021)

Medical Transformer: Universal Brain Encoder for 3D MRI Analysis. - Eunji Jun; Seungwoo Jeong; Da-Woon Heo; Heung-Il Suk (CoRR, 2021)

Deep recurrent model for individualized prediction of Alzheimer's disease progression. - Wonsik Jung; Eunji Jun; Heung-Il Suk; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2021)

Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction. - Eunji Jun; Ahmad Wisnu Mulyadi; Jaehun Choi; Heung-Il Suk (IEEE Trans. Neural Networks Learn. Syst., 2021)

Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series. - Ahmad Wisnu Mulyadi; Eunji Jun; Heung-Il Suk (IEEE Trans. Cybern., 2022)

Multi-View Integrative Attention-Based Deep Representation Learning for Irregular Clinical Time-Series Data. - Yurim Lee 002; Eunji Jun; Jaehun Choi; Heung-Il Suk (IEEE J. Biomed. Health Informatics, 2022)

Mutual Learning for Long-Tailed Recognition. - Changhwa Park; Junho Yim; Eunji Jun (WACV, 2023)

A second-order particle Fokker-Planck model for rarefied gas flows. - Sanghun Kim; Woonghwi Park; Eunji Jun (Comput. Phys. Commun., 2024)

A stochastic Fokker-Planck-Master model for diatomic rarefied gas flows. - Sanghun Kim; Eunji Jun (J. Comput. Phys., 2024)

Medical Transformer: Universal Encoder for 3-D Brain MRI Analysis. - Eunji Jun; Seungwoo Jeong; Da-Woon Heo; Heung-Il Suk (IEEE Trans. Neural Networks Learn. Syst., 2024)

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update. - Jeongyun Kim; Seunghoon Jeong; Giseop Kim; Myung-Hwan Jeon; Eunji Jun; Ayoung Kim (CoRR, 2025)