Heung-Il Suk
Orcid: 0000-0001-7019-8962
According to our database1,
Heung-Il Suk
authored at least 123 papers
between 2006 and 2024.
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Bibliography
2024
A Learnable Counter-Condition Analysis Framework for Functional Connectivity-Based Neurological Disorder Diagnosis.
IEEE Trans. Medical Imaging, April, 2024
EAG-RS: A Novel Explainability-Guided ROI-Selection Framework for ASD Diagnosis via Inter-Regional Relation Learning.
IEEE Trans. Medical Imaging, April, 2024
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging.
CoRR, 2024
Unveiling Diagnostic Potential: EEG Microstate Representation Model for Alzheimer's Disease and Frontotemporal Dementia.
Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024
Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024
2023
Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning.
NeuroImage, June, 2023
Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI.
IEEE Trans. Neural Networks Learn. Syst., February, 2023
TransSleep: Transitioning-Aware Attention-Based Deep Neural Network for Sleep Staging.
IEEE Trans. Cybern., 2023
KindMed: Knowledge-Induced Medicine Prescribing Network for Medication Recommendation.
CoRR, 2023
A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals.
CoRR, 2023
Deep Geometric Learning with Monotonicity Constraints for Alzheimer's Disease Progression.
CoRR, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023
Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023
Frequency Mixup Manipulation Based Unsupervised Domain Adaptation for Brain Disease Identification.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
A Deep Generative-Discriminative Learning for Multimodal Representation in Imaging Genetics.
IEEE Trans. Medical Imaging, 2022
Multi-View Integrative Attention-Based Deep Representation Learning for Irregular Clinical Time-Series Data.
IEEE J. Biomed. Health Informatics, 2022
A Novel RL-Assisted Deep Learning Framework for Task-Informative Signals Selection and Classification for Spontaneous BCIs.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Cybern., 2022
XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning.
CoRR, 2022
A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Enhancing Contextual Encoding With Stage-Confusion and Stage-Transition Estimation for EEG-Based Sleep Staging.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Electrophysiological Decoding of Spatial and Color Processing in Human Prefrontal Cortex.
NeuroImage, 2021
A unified framework for personalized regions selection and functional relation modeling for early MCI identification.
NeuroImage, 2021
Deep recurrent model for individualized prediction of Alzheimer's disease progression.
NeuroImage, 2021
Deep Joint Learning of Pathological Region Localization and Alzheimer's Disease Diagnosis.
CoRR, 2021
CoRR, 2021
IEEE Comput. Intell. Mag., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Inter-regional High-Level Relation Learning from Functional Connectivity via Self-supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision.
CoRR, 2020
Deep Recurrent Disease Progression Model for Conversion-Time Prediction of Alzheimer's Disease.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation.
Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020
2019
Low-rank dimensionality reduction for multi-modality neurodegenerative disease identification.
World Wide Web, 2019
World Wide Web, 2019
Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection.
Neural Networks, 2019
Toward an interpretable Alzheimer's disease diagnostic model with regional abnormality representation via deep learning.
NeuroImage, 2019
Modeling regional dynamics in low-frequency fluctuation and its application to Autism spectrum disorder diagnosis.
NeuroImage, 2019
Toward Subject Invariant and Class Disentangled Representation in BCI via Cross-Domain Mutual Information Estimator.
CoRR, 2019
Comput. Medical Imaging Graph., 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Stochastic Imputation and Uncertainty-Aware Attention to EHR for Mortality Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019
2018
Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection.
CoRR, 2018
Probabilistic Source Separation on Resting-State fMRI and Its Use for Early MCI Identification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018
2017
IEEE Trans. Inf. Forensics Secur., 2017
Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers.
IEEE Trans. Big Data, 2017
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis.
Medical Image Anal., 2017
Medical Image Anal., 2017
Region-Wise Stochastic Pattern Modeling for Autism Spectrum Disorder Identification and Temporal Dynamics Analysis.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017
2016
Sparse Multi-Response Tensor Regression for Alzheimer's Disease Study With Multivariate Clinical Assessments.
IEEE Trans. Medical Imaging, 2016
Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification.
IEEE Trans. Biomed. Eng., 2016
State-space model with deep learning for functional dynamics estimation in resting-state fMRI.
NeuroImage, 2016
Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Proceedings of the 4th International Winter Conference on Brain-Computer Interface, 2016
Proceedings of the 4th International Winter Conference on Brain-Computer Interface, 2016
2015
Motion Influence Map for Unusual Human Activity Detection and Localization in Crowded Scenes.
IEEE Trans. Circuits Syst. Video Technol., 2015
Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis.
Neuroinformatics, 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Combined regression and classification approach for prediction of driver's braking intention.
Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015
2014
A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis.
NeuroImage, 2014
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis.
NeuroImage, 2014
Sparse Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
A Novel Multi-relation Regularization Method for Regression and Classification in AD Diagnosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
View-Invariant 3D Action Recognition Using Spatiotemporal Self-Similarities from Depth Camera.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014
2013
Person authentication from neural activity of face-specific visual self-representation.
Pattern Recognit., 2013
A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces.
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Non-homogeneous spatial filter optimization for ElectroEncephaloGram (EEG)-based motor imagery classification.
Neurocomputing, 2013
Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
High-Order Graph Matching Based Feature Selection for Alzheimer's Disease Identification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Multi-task Sparse Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR Images.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013
2012
Accelerating generalized Iterative Scaling Based on Staggered Aitken Method for on-Line Conditional Random Fields.
Int. J. Wavelets Multiresolution Inf. Process., 2012
Int. J. Wavelets Multiresolution Inf. Process., 2012
Int. J. Pattern Recognit. Artif. Intell., 2012
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
2011
IEEE Trans. Circuits Syst. Video Technol., 2011
Subject and class specific frequency bands selection for multiclass motor imagery classification.
Int. J. Imaging Syst. Technol., 2011
A probabilistic approach to spatio-spectral filters optimization in Brain-Computer Interface.
Proceedings of the IEEE International Conference on Systems, 2011
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011
2010
Pattern Recognit., 2010
2009
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009), 2009
2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008
2006