Heung-Il Suk

According to our database1, Heung-Il Suk authored at least 103 papers between 2006 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
A Plug-in Method for Representation Factorization in Connectionist Models.
IEEE Trans. Neural Networks Learn. Syst., 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

Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series.
IEEE Trans. Cybern., 2022

XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning.
CoRR, 2022

TransSleep: Transitioning-aware Attention-based Deep Neural Network for Sleep Staging.
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

Enhancing Contextual Encoding With Stage-Confusion and Stage-Transition Estimation for EEG-Based Sleep Staging.
Proceedings of the IEEE International Conference on Acoustics, 2022

Continuous Riemannian Geometric Learning for Sleep Staging Classification.
Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022

2021
Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction.
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

Efficient Continuous Manifold Learning for Time Series Modeling.
CoRR, 2021

Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model.
CoRR, 2021

Deep Joint Learning of Pathological Region Localization and Alzheimer's Disease Diagnosis.
CoRR, 2021

Medical Transformer: Universal Brain Encoder for 3D MRI Analysis.
CoRR, 2021

Fine-Grained Attention for Weakly Supervised Object Localization.
CoRR, 2021

Multi-view Integration Learning for Irregularly-sampled Clinical Time Series.
CoRR, 2021

Multi-Scale Neural Network for EEG Representation Learning in BCI.
IEEE Comput. Intell. Mag., 2021

Meta-modulation Network for Domain Generalization in Multi-site fMRI Classification.
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

ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2021

Fine-grained Temporal Attention Network for EEG-based Seizure Detection.
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021

Spectro-Spatio-Temporal EEG Representation Learning for Imagined Speech Recognition.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020
Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis.
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

Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis.
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

Group sparse reduced rank regression for neuroimaging genetic study.
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

Plug-in Factorization for Latent Representation Disentanglement.
CoRR, 2019

Special issue on machine learning in medical imaging.
Comput. Medical Imaging Graph., 2019

Unified Modeling of Imputation, Forecasting, and Prediction for AD Progression.
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

Semi-Supervised Deep Adversarial Learning for Brain-Computer Interface.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

Domain Adaptation with Source Selection for Motor-Imagery based BCI.
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

Regional Abnormality Representation Learning in Structural MRI for AD/MCI Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Deep recurrent spatio-temporal neural network for motor imagery based BCI.
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018

2017
Individual Identification Using Cognitive Electroencephalographic Neurodynamics.
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

Deep ensemble learning of sparse regression models for brain disease diagnosis.
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

An Introduction to Neural Networks and Deep Learning.
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

Deep Ensemble Sparse Regression Network for Alzheimer's Disease Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Deep feature learning for pulmonary nodule classification in a lung CT.
Proceedings of the 4th International Winter Conference on Brain-Computer Interface, 2016

An empirical suggestion for collaborative learning in motor imagery-based BCIs.
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

Multi-view Classification for Identification of Alzheimer's Disease.
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

Multi-modality Canonical Feature Selection for Alzheimer's Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Online Discriminative Multi-atlas Learning for Isointense Infant Brain Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Clustering-Induced Multi-task Learning for AD/MCI Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis.
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

Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Modeling crowd motions for abnormal activity detection.
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

Deep Learning-Based Feature Representation for AD/MCI Classification.
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

Integrating Multiple Network Properties for MCI Identification.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

Eeg-based person authentication using face stimuli.
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013

A Bayesian approach for spatio-spectral filter optimization in BCI.
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013

Non-homogeneous spatial filter optimization for EEG-based brain-computer interfaces.
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013

Crowd Behavior Representation Using Motion Influence Matrix for Anomaly Detection.
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

Biased Manifold Learning for View Invariant Body Pose Estimation.
Int. J. Wavelets Multiresolution Inf. Process., 2012

Incremental Sparse Pseudo-input Gaussian Process Regression.
Int. J. Pattern Recognit. Artif. Intell., 2012

Online learning of sparse pseudo-input Gaussian Process.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011
A Network of Dynamic Probabilistic Models for Human Interaction Analysis.
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

Data-Driven Frequency Bands Selection in EEG-Based Brain-Computer Interface.
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011

2010
Hand gesture recognition based on dynamic Bayesian network framework.
Pattern Recognit., 2010

2009
Analyzing human interactions with a network of dynamic probabilistic models.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009), 2009

2008
Robust modeling and recognition of hand gestures with dynamic Bayesian network.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Recognizing hand gestures using dynamic Bayesian network.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

2006
HMM-Based Gait Recognition with Human Profiles.
Proceedings of the Structural, 2006


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