Heung‐Il Suk - Concepedia

Author

Heung‐Il Suk

Also Known As

Cao, Xiaohuan, HEUNG-IL SUK, Heung-II Suk, Heung-Il Suk, Heung‐Il Suk, Lee, Seong-Whan, MLMI 2019 Shenzhen, Mingxia Liu, Shen, Dinggang, Shi, Yinghuan

242

Publications

12.6K

Citations

H-Index

140

Concepts

All Affiliations

Korea University University of North Carolina at Chapel Hill Imaging Center Asan Medical Center University of Ulsan

About

Heung‐Il Suk is an author at Korea University specializing in engineering, neuroscience, and neuroimaging.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	32	47	5K
2	Medicine	21	23	2.7K
3	Health Sciences	12	13	1.2K
4	Public Health	3	3	116
5	Education	1	1	52

Heung‐Il Suk

Publications

6.4K

Citations

H-Index

Page 1

	Year	Citations
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis Heung‐Il Suk, Seong‐Whan Lee, Dinggang Shen NeuroImage Multilevel FusionEngineeringMachine LearningData ScienceHierarchical Feature Representation	2014	946
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis Rongjian Li, Wenlu Zhang, Heung‐Il Suk, Lecture notes in computer science Neuroimaging BiomarkersEngineeringMedical ImagingDeep LearningBiomedical Imaging	2014	481
Deep Learning-Based Feature Representation for AD/MCI Classification Heung‐Il Suk, Dinggang Shen Lecture notes in computer science EngineeringMachine LearningFeature LearningComputer ScienceDeep Learning	2013	437
Deep ensemble learning of sparse regression models for brain disease diagnosis Heung‐Il Suk, Seong‐Whan Lee, Dinggang Shen Medical Image Analysis Brain Disease DiagnosisNeuroimaging BiomarkersSparse RepresentationEngineeringMachine Learning	2017	319
State-space model with deep learning for functional dynamics estimation in resting-state fMRI Heung‐Il Suk, Chong-Yaw Wee, Seong‐Whan Lee, NeuroImage Cognitive ScienceFunctional Dynamics EstimationDeep LearningComputational NeuroscienceResting-state Fmri	2016	303
A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces Heung‐Il Suk, Seong‐Whan Lee IEEE Transactions on Pattern Analysis and Machine Intelligence EngineeringMachine LearningFeature ExtractionSocial SciencesDiscriminative Feature Extraction	2012	241
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis Xiaofeng Zhu, Heung‐Il Suk, Li Wang, Medical Image Analysis Classification MethodJoint RegressionEngineeringMachine LearningData Science	2015	224
Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification Xiaofeng Zhu, Heung‐Il Suk, Seong‐Whan Lee, IEEE Transactions on Biomedical Engineering EngineeringMachine LearningFeature SelectionImage AnalysisData Science	2015	216
A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis Xiaofeng Zhu, Heung‐Il Suk, Dinggang Shen NeuroImage Classification MethodJoint RegressionEngineeringMachine LearningData Science	2014	202
Hand gesture recognition based on dynamic Bayesian network framework Heung‐Il Suk, Bong-Kee Sin, Seong‐Whan Lee Pattern Recognition Machine VisionImage AnalysisEngineeringPattern RecognitionGesture Recognition	2010	188

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