Heung-Il Suk
Heung-Il Suk
Dept. of Artificial Intelligence, Dept. of Brain and Cognitive Engineering, Korea
korea.ac.kr üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Deep learning in medical image analysis
D Shen, G Wu, HI Suk
Annual review of biomedical engineering 19, 221-248, 2017
17202017
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
5542014
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
HI Suk, SW Lee, D Shen
Brain Structure and Function 220 (2), 841-859, 2015
3362015
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
3362014
Deep learning-based feature representation for AD/MCI classification
HI Suk, D Shen
International Conference on Medical Image Computing and Computer-Assisted …, 2013
3302013
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
3092016
Hand gesture recognition based on dynamic Bayesian network framework
HI Suk, BK Sin, SW Lee
Pattern recognition 43 (9), 3059-3072, 2010
2142010
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
1992012
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
1712017
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
1632014
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
1572015
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
1472017
Person authentication from neural activity of face-specific visual self-representation
SK Yeom, HI Suk, SW Lee
Pattern Recognition 46 (4), 1159-1169, 2013
1082013
Non-homogeneous spatial filter optimization for ElectroEncephaloGram (EEG)-based motor imagery classification
TE Kam, HI Suk, SW Lee
Neurocomputing 108, 58-68, 2013
902013
Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis
HI Suk, SW Lee, D Shen
Brain Structure and Function 221 (5), 2569-2587, 2016
882016
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
822016
Commanding a brain-controlled wheelchair using steady-state somatosensory evoked potentials
KT Kim, HI Suk, SW Lee
IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (3 …, 2016
772016
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
702014
Subject and class specific frequency bands selection for multiclass motor imagery classification
HI Suk, SW Lee
International Journal of Imaging Systems and Technology 21 (2), 123-130, 2011
652011
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
602015
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Makaleler 1–20