Heung-Il Suk

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 91

Top Venues

Publications

Kwanseok Oh, Jieun Lee, Da-Woon Heo, Dinggang Shen, Heung-Il Suk
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging. CoRR (2024)
Jungye Kim, Seungwoo Jeong, Jaehyun Jeon, Heung-Il Suk
Unveiling Diagnostic Potential: EEG Microstate Representation Model for Alzheimer's Disease and Frontotemporal Dementia. BCI (2024)
Jiwon Lee, Eunsong Kang, Junyeong Maeng, Heung-Il Suk
Eigendecomposition-Based Spatial-Temporal Attention for Brain Cognitive States Identification. ICASSP (2024)
Kwanseok Oh, Eunjin Jeon, Da-Woon Heo, Yooseung Shin, Heung-Il Suk
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation. CoRR (2024)
Sangmin Jo, Seungwoo Jeong, Jaehyun Jeon, Heung-Il Suk
Enhancing EEG Domain Generalization via Weighted Contrastive Learning. BCI (2024)
Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk
Deep Efficient Continuous Manifold Learning for Time Series Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Eunsong Kang, Da-Woon Heo, Jiwon Lee, Heung-Il Suk
A Learnable Counter-Condition Analysis Framework for Functional Connectivity-Based Neurological Disorder Diagnosis. IEEE Trans. Medical Imaging 43 (4) (2024)
Wonsik Jung, Eunjin Jeon, Eunsong Kang, Heung-Il Suk
EAG-RS: A Novel Explainability-Guided ROI-Selection Framework for ASD Diagnosis via Inter-Regional Relation Learning. IEEE Trans. Medical Imaging 43 (4) (2024)
Seungwoo Jeong, Eunjin Jeon, Seungpyo Noh, Jinsool Lee, Hyungjin Kim, Seonguk Kim, Heung-Il Suk
Learning-based Sleep Quality Evaluation. BCI (2023)
Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski, Heung-Il Suk
Domain Generalization for Medical Image Analysis: A Survey. CoRR (2023)
Wonsik Jung, Eunjin Jeon, Eunsong Kang, Heung-Il Suk
EAG-RS: A Novel Explainability-guided ROI-Selection Framework for ASD Diagnosis via Inter-regional Relation Learning. CoRR (2023)
Junyeong Maeng, Kwanseok Oh, Heung-Il Suk
Age-Aware Guidance via Masking-Based Attention in Face Aging. CIKM (2023)
Eunsong Kang, Da-Woon Heo, Jiwon Lee, Heung-Il Suk
A Learnable Counter-condition Analysis Framework for Functional Connectivity-based Neurological Disorder Diagnosis. CoRR (2023)
Ahmad Wisnu Mulyadi, Heung-Il Suk
KindMed: Knowledge-Induced Medicine Prescribing Network for Medication Recommendation. CoRR (2023)
Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation. IPMI (2023)
Seungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk
Deep Geometric Learning with Monotonicity Constraints for Alzheimer's Disease Progression. CoRR (2023)
Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, Jee Seok Yoon, Kun Ho Lee, Heung-Il Suk
Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning. NeuroImage 273 (2023)
Jaeun Phyo, Wonjun Ko, Eunjin Jeon, Heung-Il Suk
TransSleep: Transitioning-Aware Attention-Based Deep Neural Network for Sleep Staging. IEEE Trans. Cybern. 53 (7) (2023)
Sangmin Jo, Jaehyun Jeon, Seungwoo Jeong, Heung-Il Suk
Channel-Aware Self-Supervised Learning for EEG-based BCI. BCI (2023)
Eunjin Jeon, Wonjun Ko, Jee Seok Yoon, Heung-Il Suk
Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, Wonsik Jung, Eunsong Kang, Kun Ho Lee, Heung-Il Suk
A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals. CoRR (2023)
Yooseung Shin, Junyeong Maeng, Kwanseok Oh, Heung-Il Suk
Frequency Mixup Manipulation Based Unsupervised Domain Adaptation for Brain Disease Identification. ACPR (3) (2023)
Eunsong Kang, Da-Woon Heo, Heung-Il Suk
Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis. MICCAI (3) (2022)
Jauen Phyo, Wonjun Ko, Eunjin Jeon, Heung-Il Suk
TransSleep: Transitioning-aware Attention-based Deep Neural Network for Sleep Staging. CoRR (2022)
Yurim Lee, Eunji Jun, Jaehun Choi, Heung-Il Suk
Multi-View Integrative Attention-Based Deep Representation Learning for Irregular Clinical Time-Series Data. IEEE J. Biomed. Health Informatics 26 (8) (2022)
Jee Seok Yoon, Myung-Cheol Roh, Heung-Il Suk
A Plug-in Method for Representation Factorization in Connectionist Models. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Seungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk
Deep Geometrical Learning for Alzheimer's Disease Progression Modeling. ICDM (2022)
Ahmad Wisnu Mulyadi, Eunji Jun, Heung-Il Suk
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series. IEEE Trans. Cybern. 52 (9) (2022)
Wonjun Ko, Eunjin Jeon, Heung-Il Suk
A Novel RL-Assisted Deep Learning Framework for Task-Informative Signals Selection and Classification for Spontaneous BCIs. IEEE Trans. Ind. Informatics 18 (3) (2022)
Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation. CoRR (2022)
Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning. CoRR (2022)
Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk
Continuous Riemannian Geometric Learning for Sleep Staging Classification. BCI (2022)
Jauen Phyo, Wonjun Ko, Eunjin Jeon, Heung-Il Suk
Enhancing Contextual Encoding With Stage-Confusion and Stage-Transition Estimation for EEG-Based Sleep Staging. ICASSP (2022)
Wonjun Ko, Heung-Il Suk
EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation. CIKM (2022)
Jieun Lee, Kwanseok Oh, Dinggang Shen, Heung-Il Suk
A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation. MICCAI (5) (2022)
Wonjun Ko, Wonsik Jung, Eunjin Jeon, Heung-Il Suk
A Deep Generative-Discriminative Learning for Multimodal Representation in Imaging Genetics. IEEE Trans. Medical Imaging 41 (9) (2022)
Junghyo Sohn, Eunjin Jeon, Wonsik Jung, Eunsong Kang, Heung-Il Suk
Fine-Grained Attention for Weakly Supervised Object Localization. CoRR (2021)
Changhyun Park, Heung-Il Suk
Deep Joint Learning of Pathological Region Localization and Alzheimer's Disease Diagnosis. CoRR (2021)
Byoung-Kyong Min, Hyun Seok Kim, Wonjun Ko, Min-Hee Ahn, Heung-Il Suk, Dimitrios Pantazis, Robert T. Knight
Electrophysiological Decoding of Spatial and Color Processing in Human Prefrontal Cortex. NeuroImage 237 (2021)
Jiyeon Lee, Wonjun Ko, Eunsong Kang, Heung-Il Suk, Alzheimer's Disease Neuroimaging Initiative
A unified framework for personalized regions selection and functional relation modeling for early MCI identification. NeuroImage 236 (2021)
Eunji Jun, Seungwoo Jeong, Da-Woon Heo, Heung-Il Suk
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis. CoRR (2021)
Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk
Efficient Continuous Manifold Learning for Time Series Modeling. CoRR (2021)
Wonjun Ko, Eunjin Jeon, Seungwoo Jeong, Heung-Il Suk
Multi-Scale Neural Network for EEG Representation Learning in BCI. IEEE Comput. Intell. Mag. 16 (2) (2021)
Wonjun Ko, Wonsik Jung, Eunjin Jeon, Ahmad Wisnu Mulyadi, Heung-Il Suk
ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding. ICDM (2021)
Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model. CoRR (2021)
Wonsik Jung, Eunji Jun, Heung-Il Suk, Alzheimer's Disease Neuroimaging Initiative
Deep recurrent model for individualized prediction of Alzheimer's disease progression. NeuroImage 237 (2021)
Yurim Lee, Eunji Jun, Heung-Il Suk
Multi-view Integration Learning for Irregularly-sampled Clinical Time Series. CoRR (2021)
Wonjun Ko, Eunjin Jeon, Heung-Il Suk
Spectro-Spatio-Temporal EEG Representation Learning for Imagined Speech Recognition. ACPR (2) (2021)
Wonsik Jung, Da-Woon Heo, Eunjin Jeon, Jaein Lee, Heung-Il Suk
Inter-regional High-Level Relation Learning from Functional Connectivity via Self-supervision. MICCAI (2) (2021)
Seungwoo Jeong, Eunjin Jeon, Wonjun Ko, Heung-Il Suk
Fine-grained Temporal Attention Network for EEG-based Seizure Detection. BCI (2021)
Eunji Jun, Ahmad Wisnu Mulyadi, Jaehun Choi, Heung-Il Suk
Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction. IEEE Trans. Neural Networks Learn. Syst. 32 (9) (2021)
Jaein Lee, Eunsong Kang, Eunjin Jeon, Heung-Il Suk
Meta-modulation Network for Domain Generalization in Multi-site fMRI Classification. MICCAI (5) (2021)
Eunji Jun, Ahmad Wisnu Mulyadi, Jaehun Choi, Heung-Il Suk
Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction. CoRR (2020)
Wonsik Jung, Eunji Jun, Heung-Il Suk
Deep Recurrent Disease Progression Model for Conversion-Time Prediction of Alzheimer's Disease. CoRR (2020)
Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision. CoRR (2020)
Eunjin Jeon, Eunsong Kang, Jiyeon Lee, Jaein Lee, Tae-Eui Kam, Heung-Il Suk
Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis. MICCAI (7) (2020)
Yinghuan Shi, Heung-Il Suk, Yang Gao, Seong-Whan Lee, Dinggang Shen
Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 31 (1) (2020)
Ahmad Wisnu Mulyadi, Eunji Jun, Heung-Il Suk
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series. CoRR (2020)
Wonjun Ko, Kwanseok Oh, Eunjin Jeon, Heung-Il Suk
VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation. BCI (2020)
Wonjun Ko, Eunjin Jeon, Heung-Il Suk
A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs. CoRR (2020)
Wonjun Ko, Eunjin Jeon, Seungwoo Jeong, Heung-Il Suk
Multi-Scale Neural network for EEG Representation Learning in BCI. CoRR (2020)
Eunji Jun, Ahmad Wisnu Mulyadi, Heung-Il Suk
Stochastic Imputation and Uncertainty-Aware Attention to EHR for Mortality Prediction. IJCNN (2019)
Eunjin Jeon, Wonjun Ko, Heung-Il Suk
Domain Adaptation with Source Selection for Motor-Imagery based BCI. BCI (2019)
Jee Seok Yoon, Wonjun Ko, Heung-Il Suk
Plug-in Factorization for Latent Representation Disentanglement. CoRR (2019)
Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
Low-rank dimensionality reduction for multi-modality neurodegenerative disease identification. World Wide Web 22 (2) (2019)
Eunjin Jeon, Wonjun Ko, Jee Seok Yoon, Heung-Il Suk
Toward Subject Invariant and Class Disentangled Representation in BCI via Cross-Domain Mutual Information Estimator. CoRR (2019)
Wonjun Ko, Eunjin Jeon, Jiyeon Lee, Heung-Il Suk
Semi-Supervised Deep Adversarial Learning for Brain-Computer Interface. BCI (2019)
Li Wang, Yinghuan Shi, Heung-Il Suk, J. Alison Noble, Ghassan Hamarneh
Special issue on machine learning in medical imaging. Comput. Medical Imaging Graph. 74 (2019)
Wonsik Jung, Ahmad Wisnu Mulyadi, Heung-Il Suk
Unified Modeling of Imputation, Forecasting, and Prediction for AD Progression. MICCAI (4) (2019)
Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
Group sparse reduced rank regression for neuroimaging genetic study. World Wide Web 22 (2) (2019)
Bum-Chae Kim, Jee Seok Yoon, Jun-Sik Choi, Heung-Il Suk
Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection. Neural Networks 115 (2019)
Eunji Jun, Eunsong Kang, Jaehun Choi, Heung-Il Suk
Modeling regional dynamics in low-frequency fluctuation and its application to Autism spectrum disorder diagnosis. NeuroImage 184 (2019)
Eunho Lee, Jun-Sik Choi, Minjeong Kim, Heung-Il Suk, Alzheimer's Disease Neuroimaging Initiative
Toward an interpretable Alzheimer's disease diagnostic model with regional abnormality representation via deep learning. NeuroImage 202 (2019)
Bum-Chae Kim, Jun-Sik Choi, Heung-Il Suk
Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection. CoRR (2018)
Eunsong Kang, Heung-Il Suk
Probabilistic Source Separation on Resting-State fMRI and Its Use for Early MCI Identification. MICCAI (3) (2018)
Wonjun Ko, Jee Seok Yoon, Eunsong Kang, Eunji Jun, Jun-Sik Choi, Heung-Il Suk
Deep recurrent spatio-temporal neural network for motor imagery based BCI. BCI (2018)
Jun-Sik Choi, Eunho Lee, Heung-Il Suk
Regional Abnormality Representation Learning in Structural MRI for AD/MCI Diagnosis. MLMI@MICCAI (2018)
Byoung-Kyong Min, Heung-Il Suk, Min-Hee Ahn, Min-Ho Lee, Seong-Whan Lee
Individual Identification Using Cognitive Electroencephalographic Neurodynamics. IEEE Trans. Inf. Forensics Secur. 12 (9) (2017)
Eunji Jun, Heung-Il Suk
Region-Wise Stochastic Pattern Modeling for Autism Spectrum Disorder Identification and Temporal Dynamics Analysis. CNI@MICCAI (2017)
Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen
Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers. IEEE Trans. Big Data 3 (4) (2017)
Xiaofeng Zhu, Heung-Il Suk, Li Wang, Seong-Whan Lee, Dinggang Shen
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis. Medical Image Anal. 38 (2017)
Heung-Il Suk, Seong-Whan Lee, Dinggang Shen
Deep ensemble learning of sparse regression models for brain disease diagnosis. Medical Image Anal. 37 (2017)
Xiaofeng Zhu, Heung-Il Suk, Seong-Whan Lee, Dinggang Shen
Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification. IEEE Trans. Biomed. Eng. 63 (3) (2016)
Heung-Il Suk, Dinggang Shen
Deep Ensemble Sparse Regression Network for Alzheimer's Disease Diagnosis. MLMI@MICCAI (2016)
Eunsong Kang, Bum-Chae Kim, Heung-Il Suk
An empirical suggestion for collaborative learning in motor imagery-based BCIs. BCI (2016)
Heung-Il Suk, Chong-Yaw Wee, Seong-Whan Lee, Dinggang Shen
State-space model with deep learning for functional dynamics estimation in resting-state fMRI. NeuroImage 129 (2016)
Bum-Chae Kim, Yu Sub Sung, Heung-Il Suk
Deep feature learning for pulmonary nodule classification in a lung CT. BCI (2016)
Xiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Yingying Zhu, Guorong Wu, Dinggang Shen
Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis. MLMI@MICCAI (2016)
Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen
Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations. MICCAI (1) (2016)
Zhou Li, Heung-Il Suk, Dinggang Shen, Lexin Li
Sparse Multi-Response Tensor Regression for Alzheimer's Disease Study With Multivariate Clinical Assessments. IEEE Trans. Medical Imaging 35 (8) (2016)
Heung-Il Suk, Chong-Yaw Wee, Seong-Whan Lee, Dinggang Shen
Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis. Neuroinformatics 13 (3) (2015)
Heung-Il Suk, Seong-Whan Lee, Dinggang Shen
A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI. MICCAI (1) (2015)
Xiaofeng Zhu, Heung-Il Suk, Yonghua Zhu, Kim-Han Thung, Guorong Wu, Dinggang Shen
Multi-view Classification for Identification of Alzheimer's Disease. MLMI (2015)
Dong-Gyu Lee, Heung-Il Suk, Sung-Kee Park, Seong-Whan Lee
Motion Influence Map for Unusual Human Activity Detection and Localization in Crowded Scenes. IEEE Trans. Circuits Syst. Video Technol. 25 (10) (2015)
Jeong-Woo Kim, Heung-Il Suk, Jong-Pil Kim, Seong-Whan Lee
Combined regression and classification approach for prediction of driver's braking intention. BCI (2015)
Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis. NeuroImage 100 (2014)
Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
Sparse Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification. MLMI (2014)
Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
A Novel Multi-relation Regularization Method for Regression and Classification in AD Diagnosis. MICCAI (3) (2014)
Dong-Gyu Lee, Heung-Il Suk, Seong-Whan Lee
Modeling crowd motions for abnormal activity detection. AVSS (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Heung-Il Suk