Publications

International Journals

Medical Transformer: Universal Encoder for 3D Brain MRI Analysis

Eunji Jun, Seungwoo Jeong, Da-Woon Heo, Heung-Il Suk

IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNS), Vol. 35, No. 12, pp. 17779-17789, 2024. (2023-JCR-IF: 10.2, COMPUTER SCIENCE, HARDWARE & ARCHITECTURE: 3/59)

Multi-view Integrative Attention-based Deep Representation Learning for Irregular Clinical Time-series Data

Yurim Lee, Eunji Jun, Jaehun Choi, Heung-Il Suk

IEEE Journal of Biomedical and Health Informatics (IEEE-JBHI), Vol. 26, No. 8, pp. 4270-4280, 2022. (2021-JCR-IF: 7.021, MATHEMATICAL & COMPUTATIONAL BIOLOGY: 4/57)

Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series

Ahmad Wisnu Mulyadi, Eunji Jun, Heung-Il Suk

IEEE Transactions on Cybernetics, Vol. 52, No. 9, pp. 9684-9694, 2022. (2021-JCR-IF: 19.118, AUTOMATION & CONTROL SYSTEMS: 1/82)

Deep Recurrent Model for Individualized Prediction of Alzheimer’s Disease Progression

Wonsik Jung, Eunji Jun, Heung-Il Suk

NeuroImage, Vol. 237, 2021. (2020-JCR-IF: 6.556, RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: 10/186)

Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction

Eunji Jun, Ahmad Wisnu Mulyadi, Jaehoon Choi, Heung-Il Suk

IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS), Vol. 32, No. 9, pp. 4052-4062, 2021. (2020-JCR-IF: 10.451, COMPUTER SCIENCE, THEORY & METHODS: 3/110)

Identifying Resting-State Effective Connectivity Abnormalities in Drug-Naïve Major Depressive Disorder Diagnosis via Graph Convolutional Networks

Eunji Jun, Kyoung-Sae Na, Wooyoung Kang, Jiyeon Lee, Heung-Il Suk

Human Brain Mapping, Vol. 41, No. 17, 2020. (2019-JCR-IF: 4.421, RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: 19/133)

Modeling Regional Dynamics in Low-Frequency Fluctuation and Its Application to Autism Spectrum Disorder Diagnosis

Eunji Jun, Eungsong Kang, Jaehun Choi, Heung-Il Suk

NeuroImage, Vol. 184, pp.669-686, 2019. (2018-JCR-IF: 5.812, NUCLEAR MEDICINE & MEDICAL IMAGING: 11/129)

International Conferences

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

International Conference on Computer Vision (ICCV), 2025. 

Mutual Learning for Long-Tailed Recognition

Changhwa Park, Junho Yim, Eunji Jun

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. 

Stochastic Imputation and Uncertainty-aware Attention to EHR for Mortality Prediction

Eunji Jun, Ahmad Wisnu Mulyadi, Heung-Il Suk

The 2019 International Joint Conference on Neural Networks (IJCNN), 2019. 

Graph Convolutional Network with Sparse Representation in Resting-state fMRI for MDD Identification

Eunji Jun, Jiyeon Lee, Heung-Il Suk

Organization for Human Brain Mapping (OHBM), 2019. 

Deep Recurrent Spatio-Temporal Neural Network for Motor Imagery based BCI

Wonjun Ko, Jeeseok Yoon, Eunsong Kang, Eunji Jun, Jun-Sik Choi, Heung-Il Suk

2018 6th International Conference on Brain-Computer Interface (BCI), 2018. 

Region-Wise Stochastic Pattern Modeling for Autism Spectrum Disorder Identification and Temporal Dynamics Analysis

Eunji Jun, Heung-Il Suk

International Workshop on Connectomics in NeuroImaging (CNI), 2017. 

Domestic Publications

장기 과거 맥락 지도 학습 기반 다변량 시계열 이상 탐지에 대한 연구

전은지, 임준호

대한전자공학회 추계학술대회 (포스터 발표), 2025. 

Parameter-efficient Multi-view Representation Learning for 3D Brain MRI Analysis

Eunji Jun, Seungwoo Jeong, Da-Woon Heo, Heung-Il Suk

한국인공지능학회 하계학술대회 (구두발표, 최우수논문상), 2021. 

Uncertainty-Gated Stochastic Sequential Model for EHR Data Imputation and In-Hospital Mortality Prediction

Eunji Jun, Ahmad Wisnu Mulyadi, Jaehoon Choi, Heung-Il Suk

한국인공지능학회 하계학술대회 (구두발표, 우수논문상), 2020. 

임상 상태 예측을 위한 자가 주의집중 메커니즘 기반 불규칙적 시계열 전자건강기록 데이터 모델링

이유림, 전은지, 석흥일

2020 한국정보과학회 한국컴퓨터종합학술대회 논문집 (구두발표), 2020. 

휴지-상태 fMRI 영상에서의 동적 특징 추출 및 자폐증 조기 진단

전은지, 석흥일

2017 한국정보과학회 한국컴퓨터종합학술대회 논문집 (포스터발표), 2017.