Heung-Il Suk

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Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging Intelligenceshanghaitech.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Xiaofeng ZHUUniversity of Electronic Science and Technology of China (电子科技大学)massey.ac.nz üzerinde doğrulanmış e-posta adresine sahip
Li WangAssociate Professor, Director of Developing Brain Computing Lab, UNC-Chapel Hillmed.unc.edu üzerinde doğrulanmış e-posta adresine sahip
Yinghuan Shi（史颖欢）Nanjing Universitynju.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Mingxia LiuUniversity of North Carolina at Chapel Hillmed.unc.edu üzerinde doğrulanmış e-posta adresine sahip
Seul-Ki YeomTechnische Universität Berlin - Machine Learning Grouptu-berlin.de üzerinde doğrulanmış e-posta adresine sahip
Shuiwang Ji, Professor and Truchard...Department of Computer Science & Engineering, Texas A&M Universitytamu.edu üzerinde doğrulanmış e-posta adresine sahip
Rongjian LiBank of Americaodu.edu üzerinde doğrulanmış e-posta adresine sahip
Daoqiang ZhangNanjing University of Aeronautics and Astronauticsnuaa.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, Germanytu-berlin.de üzerinde doğrulanmış e-posta adresine sahip
Siamac FazliNazarbayev Universitynu.edu.kz üzerinde doğrulanmış e-posta adresine sahip
Kim Han ThungUniversity of North Carolina at Chapel Hillemail.unc.edu üzerinde doğrulanmış e-posta adresine sahip
Feng LiuAssociate Professor, Tianjin Medical University General Hospitaltmu.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Hee-Deok YangProfessor, Dept. of Computer Engineering, Chosun Universitychosun.ac.kr üzerinde doğrulanmış e-posta adresine sahip
Christian WallravenKorea Universitykorea.ac.kr üzerinde doğrulanmış e-posta adresine sahip
Seong-Whan LeeProfessor of Artificial Intelligence and Brain Engineering, Korea Universitykorea.ac.kr üzerinde doğrulanmış e-posta adresine sahip
Chong-Yaw Wee

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Heung-Il Suk

Professor, Department of Artificial Intelligence, Korea University

korea.ac.kr üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Machine/Deep Learning Medical Image Analysis AI for Healthcare Brain-Computer Interface


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
Deep learning in medical image analysis D Shen, G Wu, HI Suk Annual review of biomedical engineering 19 (1), 221-248, 2017	5254	2017
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	1030	2014
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 Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014	612	2014
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, 841-859, 2015	610	2015
Deep learning-based feature representation for AD/MCI classification HI Suk, D Shen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013	588	2013
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	351	2016
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	335	2017
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	268	2012
Hand gesture recognition based on dynamic Bayesian network framework HI Suk, BK Sin, SW Lee Pattern recognition 43 (9), 3059-3072, 2010	253	2010
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	246	2017
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	232	2014
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	231	2015
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	181	2016
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	166	2016
Person authentication from neural activity of face-specific visual self-representation SK Yeom, HI Suk, SW Lee Pattern recognition 46 (4), 1159-1169, 2013	146	2013
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	113	2015
Non-homogeneous spatial filter optimization for ElectroEncephaloGram (EEG)-based motor imagery classification TE Kam, HI Suk, SW Lee Neurocomputing 108, 58-68, 2013	113	2013
An introduction to neural networks and deep learning HI Suk Deep learning for medical image analysis, 3-24, 2017	111	2017
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, 818-828, 2016	105	2016
Multi-scale neural network for EEG representation learning in BCI W Ko, E Jeon, S Jeong, HI Suk IEEE Computational Intelligence Magazine 16 (2), 31-45, 2021	102	2021

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