Heung-Il Suk
Heung-Il Suk
Dept. of Artificial Intelligence, Dept. of Brain and Cognitive Engineering, Korea
Verified email at korea.ac.kr - Homepage
TitleCited byYear
Deep learning in medical image analysis
D Shen, G Wu, HI Suk
Annual review of biomedical engineering 19, 221-248, 2017
7262017
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
HI Suk, SW Lee, D Shen, Alzheimer's Disease Neuroimaging Initiative
NeuroImage 101, 569-582, 2014
3532014
Deep learning based imaging data completion for improved brain disease diagnosis
R Li, W Zhang, HI Suk, L Wang, J Li, D Shen, S Ji
International Conference on Medical Image Computing and Computer-Assisted …, 2014
2222014
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
HI Suk, SW Lee, D Shen, Alzheimer’s Disease Neuroimaging Initiative
Brain Structure and Function 220 (2), 841-859, 2015
2152015
Deep learning-based feature representation for AD/MCI classification
HI Suk, D Shen
International Conference on Medical Image Computing and Computer-Assisted …, 2013
2142013
Hand gesture recognition based on dynamic Bayesian network framework
HI Suk, BK Sin, SW Lee
Pattern recognition 43 (9), 3059-3072, 2010
1912010
A novel Bayesian framework for discriminative feature extraction in brain-computer interfaces
HI Suk, SW Lee
IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (2), 286-299, 2012
1522012
A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis
X Zhu, HI Suk, D Shen
NeuroImage 100, 91-105, 2014
1322014
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis
X Zhu, HI Suk, L Wang, SW Lee, D Shen, ...
Medical image analysis 38, 205-214, 2017
1202017
Subspace regularized sparse multitask learning for multiclass neurodegenerative disease identification
X Zhu, HI Suk, SW Lee, D Shen
IEEE Transactions on Biomedical Engineering 63 (3), 607-618, 2015
1142015
State-space model with deep learning for functional dynamics estimation in resting-state fMRI
HI Suk, CY Wee, SW Lee, D Shen
NeuroImage 129, 292-307, 2016
1112016
Person authentication from neural activity of face-specific visual self-representation
SK Yeom, HI Suk, SW Lee
Pattern Recognition 46 (4), 1159-1169, 2013
852013
Deep ensemble learning of sparse regression models for brain disease diagnosis
HI Suk, SW Lee, D Shen, Alzheimer’s Disease Neuroimaging Initiative
Medical image analysis 37, 101-113, 2017
702017
Matrix-similarity based loss function and feature selection for alzheimer's disease diagnosis
X Zhu, HI Suk, D Shen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
562014
Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis
HI Suk, SW Lee, D Shen, Alzheimer’s Disease Neuroimaging Initiative
Brain Structure and Function 221 (5), 2569-2587, 2016
522016
Non-homogeneous spatial filter optimization for ElectroEncephaloGram (EEG)-based motor imagery classification
TE Kam, HI Suk, SW Lee
Neurocomputing 108, 58-68, 2013
472013
Recognizing hand gestures using dynamic bayesian network
HI Suk, BK Sin, SW Lee
2008 8th IEEE International Conference on Automatic Face & Gesture …, 2008
442008
Multimodal manifold-regularized transfer learning for MCI conversion prediction
B Cheng, M Liu, HI Suk, D Shen, D Zhang, ...
Brain imaging and behavior 9 (4), 913-926, 2015
412015
Low-rank graph-regularized structured sparse regression for identifying genetic biomarkers
X Zhu, HI Suk, H Huang, D Shen
IEEE transactions on big data 3 (4), 405-414, 2017
402017
Canonical feature selection for joint regression and multi-class identification in Alzheimer’s disease diagnosis
X Zhu, HI Suk, SW Lee, D Shen
Brain imaging and behavior 10 (3), 818-828, 2016
392016
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