Heung-Il Suk

发表

Multi-view Classification for Identification of Alzheimer's Disease

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2015, MLMI.

Modeling regional dynamics in low-frequency fluctuation and its application to Autism spectrum disorder diagnosis

Heung-Il Suk, Eunji Jun, Eunsong Kang, 2019, NeuroImage.

Subject and class specific frequency bands selection for multiclass motor imagery classification

Heung-Il Suk, Seong-Whan Lee, Seong-Whan Lee, 2011, Int. J. Imaging Syst. Technol..

Combined regression and classification approach for prediction of driver's braking intention

Heung-Il Suk, Seong-Whan Lee, Jeong-Woo Kim, 2015, The 3rd International Winter Conference on Brain-Computer Interface.

Hand gesture recognition based on dynamic Bayesian network framework

Heung-Il Suk, Seong-Whan Lee, Bong-Kee Sin, 2010, Pattern Recognit..

Modeling crowd motions for abnormal activity detection

Dong-Gyu Lee, Heung-Il Suk, Seong-Whan Lee, 2014, 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

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

Heung-Il Suk, Eun Song Kang, Bum-Chae Kim, 2016, 2016 4th International Winter Conference on Brain-Computer Interface (BCI).

Real-Time Hand Pose Tracking and Finger Action Recognition Based on 3D Hand Modeling

Heung-Il Suk, Seong-Whan Lee, Ji-Hong Lee, 2008 .

Domain Adaptation with Source Selection for Motor-Imagery based BCI

Heung-Il Suk, Eunjin Jeon, Wonjun Ko, 2019, 2019 7th International Winter Conference on Brain-Computer Interface (BCI).

Regional Abnormality Representation Learning in Structural MRI for AD/MCI Diagnosis

Heung-Il Suk, Jun-Sik Choi, Eunho Lee, 2018, MLMI@MICCAI.

Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis

Dinggang Shen, Heung-Il Suk, Chong-Yaw Wee, 2014, Neuroinformatics.

Deep feature learning for pulmonary nodule classification in a lung CT

Heung-Il Suk, Bum-Chae Kim, Yu Sub Sung, 2016, 2016 4th International Winter Conference on Brain-Computer Interface (BCI).

Deep Learning in Medical Image Analysis.

Heung-Il Suk, Dinggang Shen, Guorong Wu, 2017, Annual review of biomedical engineering.

A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI

Dinggang Shen, Heung-Il Suk, Seong-Whan Lee, 2015, MICCAI.

Data-Driven Frequency Bands Selection in EEG-Based Brain-Computer Interface

Heung-Il Suk, Seong-Whan Lee, Seong-Whan Lee, 2011, 2011 International Workshop on Pattern Recognition in NeuroImaging.

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

Heung-Il Suk, Ahmad Wisnu Mulyadi, Eunji Jun, 2019, IEEE Transactions on Cybernetics.

Motion Influence Map for Unusual Human Activity Detection and Localization in Crowded Scenes

Dong-Gyu Lee, Heung-Il Suk, Seong-Whan Lee, 2015, IEEE Transactions on Circuits and Systems for Video Technology.

Integrating Multiple Network Properties for MCI Identification

Daoqiang Zhang, Dinggang Shen, Heung-Il Suk, 2013, MLMI.

Non-homogeneous spatial filter optimization for ElectroEncephaloGram (EEG)-based motor imagery classification

Heung-Il Suk, Seong-Whan Lee, Tae-Eui Kam, 2013, Neurocomputing.

Recognizing hand gestures using dynamic Bayesian network

Seong-Whan Lee, Heung-Il Suk, Bong-Kee Sin, 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Two-Layer Hidden Markov Models for Multi-class Motor Imagery Classification

Heung-Il Suk, Seong-Whan Lee, Seong-Whan Lee, 2010, 2010 First Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging.

Non-homogeneous spatial filter optimization for EEG-based brain-computer interfaces

Heung-Il Suk, Seong-Whan Lee, Tae-Eui Kam, 2013, 2013 International Winter Workshop on Brain-Computer Interface (BCI).

Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction

Heung-Il Suk, Ahmad Wisnu Mulyadi, Eunji Jun, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Toward Subject Invariant and Class Disentangled Representation in BCI via Cross-Domain Mutual Information Estimator

Heung-Il Suk, Eunjin Jeon, Wonjun Ko, 2019, ArXiv.

Gait Recognition using Cyclic HMMs(Gestures)

Heung-Il Suk, Bong-Kee Sin, Heung-Il Suk, 2006 .

Group sparse reduced rank regression for neuroimaging genetic study

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2018, World Wide Web.

A Plug-in Method for Representation Factorization

Heung-Il Suk, Myung-Cheol Roh, Jee Seok Yoon, 2019 .

Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis

Seong-Whan Lee, Heung-Il Suk, Dinggang Shen, 2014, NeuroImage.

Human Action Recognition in Various Viewpoints with a Key-Pose Distribution

Seong-Whan Lee, Heung-Il Suk, Sun-Woo Kim, 2010 .

Predicting BCI Subject Performance Using Probabilistic Spatio-Temporal Filters

Klaus-Robert Müller, Heung-Il Suk, Siamac Fazli, 2014, PloS one.

Clustering-Induced Multi-task Learning for AD/MCI Classification

Dinggang Shen, Heung-Il Suk, D. Shen, 2014, MICCAI.

Sparse Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2014, MLMI.

Joint Coupled-Feature Representation and Coupled Boosting for Alzheimer's Disease Diagnosis

Yinghuan Shi, Yang Gao, Heung-Il Suk, 2014 .

Multimodal manifold-regularized transfer learning for MCI conversion prediction

Daoqiang Zhang, Bo Cheng, Heung-Il Suk, 2015, Brain Imaging and Behavior.

A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis

Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen, 2014, NeuroImage.

Deep Recurrent Disease Progression Model for Conversion-Time Prediction of Alzheimer's Disease pdf

Heung-Il Suk, Eunji Jun, Wonsik Jung, 2020, ArXiv.

MRI-Based Intelligence Quotient (IQ) Estimation with Sparse Learning

Dinggang Shen, Xiaoying Tang, Heung-Il Suk, 2015, PloS one.

High-Order Graph Matching Based Feature Selection for Alzheimer's Disease Identification

Dinggang Shen, Feng Liu, Heung-Il Suk, 2013, MICCAI.

Dynamic Bayesian Network based Two-Hand Gesture Recognition

Heung-Il Suk, Bong-Kee Sin, 2008 .

Deep Learning in Diagnosis of Brain Disorders

Heung-Il Suk, Dinggang Shen, Alzheimer's Disease Neuroimaging Initiative, 2015 .

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

Heung-Il Suk, Eunji Jun, Heung-Il Suk, 2017, CNI@MICCAI.

A Novel Multi-relation Regularization Method for Regression and Classification in AD Diagnosis

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2014, MICCAI.

HMM-Based Gait Recognition with Human Profiles

Heung-Il Suk, Bong-Kee Sin, 2006, SSPR/SPR.

Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision pdf

Heung-Il Suk, Jee Seok Yoon, Kwanseok Oh, 2020, ArXiv.

Sparse Multi-Response Tensor Regression for Alzheimer's Disease Study With Multivariate Clinical Assessments

Dinggang Shen, Zhou Li, Heung-Il Suk, 2016, IEEE Transactions on Medical Imaging.

Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2016, IEEE Transactions on Biomedical Engineering.

A Novel Probabilistic Modeling Framework for Person-to-Person Interaction Recognition in Video Surveillance

Heung-Il Suk, Seong-Whan Lee, 2011 .

Accelerating generalized Iterative Scaling Based on Staggered Aitken Method for on-Line Conditional Random Fields

Heung-Il Suk, Seong-Whan Lee, Hee-Deok Yang, 2012, Int. J. Wavelets Multiresolution Inf. Process..

Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis

Yinghuan Shi, Yang Gao, Dinggang Shen, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Crowd Behavior Representation Using Motion Influence Matrix for Anomaly Detection

Dong-Gyu Lee, Heung-Il Suk, Seong-Whan Lee, 2013, 2013 2nd IAPR Asian Conference on Pattern Recognition.

An Introduction to Neural Networks and Deep Learning

Heung-Il Suk, Heung-Il Suk, 2017, Deep Learning for Medical Image Analysis.

A novel relational regularization feature selection method for joint regression and classification in AD diagnosis

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2017, Medical Image Anal..

Multi-view Integration Learning for Irregularly-sampled Clinical Time Series

Heung-Il Suk, Eunji Jun, Yurim Lee, 2021, ArXiv.

Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis

Dinggang Shen, Jiang Li, Heung-Il Suk, 2014, MICCAI.

Hand Gesture Recognition Based on Dynamic Bayesian Network Framework(Internationa Session 5)

Heung-Il Suk, Bong-Kee Sin, Beom-Joon Cho, 2007 .

View-Invariant 3D Action Recognition Using Spatiotemporal Self-Similarities from Depth Camera

Heung-Il Suk, Seong-Whan Lee, A.-Reum Lee, 2014, 2014 22nd International Conference on Pattern Recognition.

Low-rank dimensionality reduction for multi-modality neurodegenerative disease identification

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2018, World Wide Web.

Real-time human-robot interaction based on continuous gesture spotting and recognition

Heung-Il Suk, Seong-Whan Lee, Seong Sik Cho, 2008 .

Leveraging Coupled Interaction for Multimodal Alzheimer’s Disease Diagnosis

Yinghuan Shi, Yang Gao, Heung-Il Suk, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Probabilistic Source Separation on Resting-State fMRI and Its Use for Early MCI Identification

Heung-Il Suk, Eunsong Kang, Heung-Il Suk, 2018, International Conference on Medical Image Computing and Computer-Assisted Intervention.

Multi-Scale Neural Network for EEG Representation Learning in BCI pdf

Heung-Il Suk, Eunjin Jeon, Wonjun Ko, 2020, IEEE Computational Intelligence Magazine.

Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection

Heung-Il Suk, Bum-Chae Kim, Jun-Sik Choi, 2018, Neural Networks.

Special issue on machine learning in medical imaging

Li Wang, Yinghuan Shi, Ghassan Hamarneh, 2019, Comput. Medical Imaging Graph..

Online learning of sparse pseudo-input Gaussian Process

Heung-Il Suk, Seong-Whan Lee, Yuzhuo Wang, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Deep Learning-Based Feature Representation for AD/MCI Classification

Dinggang Shen, Heung-Il Suk, D. Shen, 2013, MICCAI.

Identifying resting‐state effective connectivity abnormalities in drug‐naïve major depressive disorder diagnosis via graph convolutional networks

Heung-Il Suk, Wooyoung Kang, Eunji Jun, 2020, Human brain mapping.

A probabilistic approach to spatio-spectral filters optimization in Brain-Computer Interface

Heung-Il Suk, Seong-Whan Lee, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

State-space model with deep learning for functional dynamics estimation in resting-state fMRI

Dinggang Shen, Heung-Il Suk, Chong-Yaw Wee, 2016, NeuroImage.

VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation

Heung-Il Suk, Eunjin Jeon, Wonjun Ko, 2020, 2020 8th International Winter Conference on Brain-Computer Interface (BCI).

A Bayesian approach for spatio-spectral filter optimization in BCI

Heung-Il Suk, Seong-Whan Lee, 2013, 2013 International Winter Workshop on Brain-Computer Interface (BCI).

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

Heung-Il Suk, Ahmad Wisnu Mulyadi, Wonsik Jung, 2019, MICCAI.

Human Interaction Recognition with a Network of Dynamic Probabilistic Models

Heung-Il Suk, LeeSeongWhan, 2009 .

Online Discriminative Multi-atlas Learning for Isointense Infant Brain Segmentation

Dinggang Shen, Heung-Il Suk, Li Wang, 2014, MLMI.

Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification

Dinggang Shen, Heung-Il Suk, Chong-Yaw Wee, 2013, MLMI.

A Novel RL-Assisted Deep Learning Framework for Task-Informative Signals Selection and Classification for Spontaneous BCIs pdf

Heung-Il Suk, Eunjin Jeon, Wonjun Ko, 2020, IEEE Transactions on Industrial Informatics.

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

Heung-Il Suk, Eunsong Kang, Tae-Eui Kam, 2020, MICCAI.

Deep recurrent spatio-temporal neural network for motor imagery based BCI

Heung-Il Suk, Eunji Jun, Eunsong Kang, 2018, 2018 6th International Conference on Brain-Computer Interface (BCI).

Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations

Dinggang Shen, Heng Huang, Xiaofeng Zhu, 2016, MICCAI.

Robust modeling and recognition of hand gestures with dynamic Bayesian network

Heung-Il Suk, Seong-Whan Lee, Bong-Kee Sin, 2008, 2008 19th International Conference on Pattern Recognition.

Analyzing human interactions with a network of dynamic probabilistic models

Heung-Il Suk, Seong-Whan Lee, Bong-Kee Sin, 2009, 2009 Workshop on Applications of Computer Vision (WACV).

A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces

Heung-Il Suk, Seong-Whan Lee, Seong-Whan Lee, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Robust 3D Hand Tracking based on a Coupled Particle Filter

Heung-Il Suk, Seong-Whan Lee, Woo-Seok Ahn, 2010 .

Person authentication from neural activity of face-specific visual self-representation

Heung-Il Suk, Seong-Whan Lee, Seul-Ki Yeom, 2013, Pattern Recognit..

Multifrequency Analysis of Brain-Computer Interfaces

Klaus-Robert Müller, Heung-Il Suk, Siamac Fazli, 2015 .

Plug-in Factorization for Latent Representation Disentanglement pdf

Heung-Il Suk, Wonjun Ko, Jee Seok Yoon, 2019, ArXiv.

Semi-Supervised Deep Adversarial Learning for Brain-Computer Interface

Heung-Il Suk, Eunjin Jeon, Wonjun Ko, 2019, 2019 7th International Winter Conference on Brain-Computer Interface (BCI).

Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

Yinghuan Shi, Heung-Il Suk, Mingxia Liu, 2018, MLMI@MICCAI.

Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2016, MLMI@MICCAI.

Position-Independent Decoding of Movement Intention for Proportional Myoelectric Interfaces

Heung-Il Suk, Seong-Whan Lee, Ki-Hee Park, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Toward an interpretable Alzheimer’s disease diagnostic model with regional abnormality representation via deep learning

Heung-Il Suk, Minjeong Kim, Alzheimer's Disease Neuroimaging Initiative, 2019, NeuroImage.

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

Heung-Il Suk, Eunji Jun, Ahmad Wisnu Mulyadi, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Biased Manifold Learning for View Invariant Body Pose Estimation

Christian Wallraven, Heung-Il Suk, Seong-Whan Lee, 2012, Int. J. Wavelets Multiresolution Inf. Process..

Multi-modality Canonical Feature Selection for Alzheimer's Disease Diagnosis

Dinggang Shen, Xiaofeng Zhu, Heung-Il Suk, 2014, MICCAI.

Incremental Sparse Pseudo-input Gaussian Process Regression

Heung-Il Suk, Seong-Whan Lee, Yuzhuo Wang, 2012, Int. J. Pattern Recognit. Artif. Intell..

A Network of Dynamic Probabilistic Models for Human Interaction Analysis

Anil K. Jain, Heung-Il Suk, Seong-Whan Lee, 2011, IEEE Transactions on Circuits and Systems for Video Technology.

Deep Ensemble Sparse Regression Network for Alzheimer's Disease Diagnosis

Dinggang Shen, Heung-Il Suk, D. Shen, 2016, MLMI@MICCAI.

Multi-task Sparse Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR Images

Dinggang Shen, Manhua Liu, Heung-Il Suk, 2013, MLMI.

Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers

Dinggang Shen, Heng Huang, Xiaofeng Zhu, 2017, IEEE Transactions on Big Data.

Deep recurrent model for individualized prediction of Alzheimer’s disease progression

Heung-Il Suk, Eunji Jun, Wonsik Jung, 2020, NeuroImage.

Individual Identification Using Cognitive Electroencephalographic Neurodynamics

Heung-Il Suk, Seong-Whan Lee, Min-Ho Lee, 2017, IEEE Transactions on Information Forensics and Security.

Volumetric spatial feature representation for view-invariant human action recognition using a depth camera

Heung-Il Suk, Jeong-Seon Park, Seong-Sik Cho, 2015 .

Efficient Continuous Manifold Learning for Time Series Modeling pdf

Heung-Il Suk, Wonjun Ko, Ahmad Wisnu Mulyadi, 2021, ArXiv.

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

Heung-Il Suk, Eunsong Kang, Eunjin Jeon, 2021, MICCAI.

Medical Transformer: Universal Brain Encoder for 3D MRI Analysis pdf

Heung-Il Suk, Eunji Jun, Seungwoo Jeong, 2021, ArXiv.

Deep Joint Learning of Pathological Region Localization and Alzheimer's Disease Diagnosis pdf

Heung-Il Suk, Changhyun Park, Heung-Il Suk, 2021, ArXiv.

Fine-Grained Attention for Weakly Supervised Object Localization pdf

Heung-Il Suk, Eunsong Kang, Eunjin Jeon, 2021, ArXiv.

Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model pdf

Heung-Il Suk, Kwanseok Oh, Jee Seok Yoon, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A unified framework for personalized regions selection and functional relation modeling for early MCI identification

Heung-Il Suk, Eunsong Kang, Wonjun Ko, 2021, NeuroImage.

Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI

Heung-Il Suk, Eunjin Jeon, Wonjun Ko, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Electrophysiological Decoding of Spatial and Color Processing in Human Prefrontal Cortex

Robert T. Knight, Dimitrios Pantazis, Heung-Il Suk, 2021, NeuroImage.

Inter-regional High-Level Relation Learning from Functional Connectivity via Self-supervision

Heung-Il Suk, Eunjin Jeon, Jaein Lee, 2021, MICCAI.

Eeg-based person authentication using face stimuli

Heung-Il Suk, Seul-Ki Yeom, Seonz-Whan Lee, 2013, 2013 International Winter Workshop on Brain-Computer Interface (BCI).

Discriminative self-representation sparse regression for neuroimaging-based alzheimer’s disease diagnosis

Dinggang Shen, Seong-Whan Lee, Heung-Il Suk, 2017, Brain Imaging and Behavior.

Canonical feature selection for joint regression and multi-class identification in Alzheimer’s disease diagnosis

Dinggang Shen, Seong-Whan Lee, Heung-Il Suk, 2015, Brain Imaging and Behavior.

Commanding a Brain-Controlled Wheelchair Using Steady-State Somatosensory Evoked Potentials

Seong-Whan Lee, Heung-Il Suk, Keun-Tae Kim, 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.