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FEATURED / LISTED

INTERNATIONAL JOURNALS

[2019]

  • E. Jun, E. Kang, J. Choi, and H.-I. SUK, "Modeling Regional Dynamics in Low-Frequency Fluctuation and Its Application to Autism Spectrum Disorder Diagnosis," NeuroImage, Vol. 184, pp. 669-686, January 2019 (2016-JCR-IF: 5.426, NEUROIMAGING: 1/14, RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: 13/128)

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[2018]

  • B.-C. Kim, Jun-Sik Choi, and H.-I. SUK, "Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection," arXiv, 1807.10581, 2018

  • X. Zhu, H.-I. SUK, and D. Shen, "Group Sparse Reduced Rank Regression for Neuroimaging Genetic Study," ​World Wide Web - Internet and Web Information Systems, 2018 (2016-JCR-IF: 1.15)

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[2017]

  • T.-E. Kam, H.-I. SUK, and S.-W. Lee, "Multiple Functional Networks Modeling for Autism Spectrum Disorder Diagnosis," Human Brain Mapping, Vol., 38, pp. 5804-5821, November 2017 (2016-JCR-IF: 4.530, RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: 12/126)

  • X. Zhu, H.-I. SUK, H. Meng, and D. Shen, "Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers," IEEE Transactions on Big Data, Vol. 3, No. 4, pp. 405-414, December 2017

  • X. Zhu, H.-I. SUK, S.-W. Lee, and D. Shen, "Discriminative self-representation sparse regression for neuroimaging-based alzheimer’s disease diagnosis," Brain Imaging and Behavior, pp. 1-14, June 2017 (2016-JCR-IF: 3.985, NEUROIMAGING: 4/14)

  • B.-K. Min, H.-I. SUK, M.-H. Ahn, M.-H. Lee, and S.-W. Lee, "Individual Identification using Cognitive Electroencephalographic Neurodynamics," IEEE Transactions on Information Forensics and Security, Vol. 12, No. 9, pp. 2159-2167, September 2017 (2015-JCR-IF: 2.441, COMPUTER SCIENCE, THEORY & METHODS: 10/105)

  • X. Zhu, H.-I. SUK, L. Wang, S.-W. Lee, and D. Shen, "A Novel Relational Regularization Feature Selection Method for Joint Regression and Classification in AD Diagnosis," Medical Image Analysis, Vol. 38, pp. 205-214, May 2017 (2015-JCR-IF: 4.565, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE: 8/130, COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS: 4/104, RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: 11/124. ENGINEERING, BIOMEDICAL: 7/76)

  • H.-I. SUK, S.-W. Lee, and D. Shen, "Deep Ensemble Learning of Sparse Regression Models for Brain Disease Diagnosis," Medical Image Analysis, Vol. 37, pp. 101-113, April 2017 (2015-JCR-IF: 4.565, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE: 8/130, COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS: 4/104, RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: 11/124. ENGINEERING, BIOMEDICAL: 7/76)

  • D. Shen*, G. Wu, and H.-I. SUK*, "Deep Learning in Medical Image Analysis," Annual Review of Biomedical Engineering, Vol. 19, pp. 221-248, June 2017 (*Co-first and Co-corresponding Authors, 2016-JCR-IF: 10.514, ENGINEERING, BIOMEDICAL: 1/77)

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[2016]

  • X. Zhu, H.-I. SUK, and D. Shen, "Canonical Feature Selection for Joint Regression and Multi-class Identification in Alzheimer's Disease Diagnosis," Brain Imaging and Behavior, Vol. 10, No. 3, pp. 818-828, September 2016 (2014-JCR-IF: 4.598, NEUROIMAGING: 3/14)

  • K.-H. Park, H.-I. SUK, and S.-W. Lee,  "Position-Independent Decoding of Movement Intention for Proportional Myoelectric Interfaces," IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 24, No. 9, pp. 928-939, September 2016 (2014-JCR-IF: 3.188, REHABILITATION: 3/64)

  • H.-I. SUK, S.-W. Lee, and D. Shen, "Deep Sparse Multi-Task Learning for Feature Selection in Alzheimer’s Disease Diagnosis," Brain Structure & Function, Vol. 221, No. 5, pp. 2569-2587, June 2016 (2015-JCR-IF: 5.811, ANATOMY & MORPHOLOGY: 1/21)

  • K.-T. Kim, H.-I. SUK, and S.-W. Lee,  "Commanding a Brain-Controlled Wheelchair using Steady-State Somatosensory Evoked Potentials,"  IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016 (2015-JCR-IF: 2.583, REHABILITATION: 6/65, Accepted)

  • Z. Li, H.-I. SUK, Dinggang Shen, Lexin Li, "Sparse Multi-Response Tensor Regression for Alzheimer’s Disease Study with Multivariate Clinical Assessments,” IEEE Transactions on Medical Imaging, Vol. 35, No. 8, pp. 1927-1936, August 2016 (2015-JCR-IF: 3.756, COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS: 9/104, ENGINEERING, ELECTRICAL & ELECTRONIC: 13/255, RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: 17/124)

  • H.-I. SUK, C.-Y. Wee, S.-W. Lee, and D. Shen, "State-Space Model with Deep Learning for Functional Dynamics Estimation in Resting-State fMRI," NeuroImage, Vol. 129, pp. 292-307, April 2016 (2014-JCR-IF: 6.357, NEUROIMAGING: 1/14, RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: 3/125)

  • X. Zhu, H.-I. SUK, S.-W. Lee, and D. Shen, "Subspace Regularized Sparse Multi-Task Learning for Multi-Class Neurodegenerative Disease Identification," IEEE Transactions on Biomedical Engineering, Vol. 63, No. 3, pp. 607-618, March 2016 (2015-JCR-IF: 2.468, BIOMEDICAL ENGINEERING: 22/76)

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[2015]

  • B. Cheng, M. Liu, H.-I. SUK, D. Shen, and D. Zhang, "Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction”, Brain Imaging and Behavior, Vol. 9, No. 4, pp. 913-926, December 2015 (2014-JCR-IF: 4.598, NEUROIMAGING: 3/14)

  • D.-G. Lee, H.-I. SUK, and S.-W. Lee, "Motion Influence Map for Unusual Human Activity Detection and Localization in Crowded Scenes," IEEE Transactions on Circuits and Systems for Video Technology, Vol. 25, No. 10, pp. 1612-1623, October 2015 (2013-JCR-IF: 2.259, ELECTRICAL & ELECTRONIC ENGINEERING: 50/248)

  • H.-I. SUK, C.-Y. Wee, S.-W. Lee, and D. Shen, “Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis,” Neuroinformatics, Vol. 13, No. 3, pp. 277-295, July 2015 (2013-JCR-IF: 3.102, COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS: 12/102) 

  • L. Wang, C.-Y. Wee, H.-I. SUK, X. Tang, D. Shen, "MRI-based Intelligence Quotient (IQ) Estimation with Sparse Learning", PLoS One, Vol. 10, No. 3, pp. e0117295, March 2015 (2013-JCR-IF: 3.534, MULTIDISCIPLINARY SCIENCES: 8/55)

  • S.-S. Cho, A.-R. Lee, H.-I. SUK, J.-S. Park, and S.-W. Lee, "Volumetric Spatial Feature Representation for View-Invariant Human Action Recognition using a Depth Camera," Optical Engineering, Vol. 54, No. 3, pp. 033102, March 2015 (2013-JCR-IF: 0.88, OPTICS: 55/82)

  • H.-I. SUK, S.-W. Lee, and D. Shen, “Latent Feature Representation with Stacked Auto-Encoder for AD/MCI Diagnosis,” Brain Structure & Function, Vol. 220, No. 2, pp. 841-859, March 2015 (2012-JCR-IF: 7.837, NEUROSCIENCES: 18/252, ANATOMY & MORPHOLOGY: 1/21)

 

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[2014]

  • H.-I. SUK, S.-W. Lee, and D. Shen, “Hierarchical Feature Representation and Multi-Modal Fusion with Deep Learning for AD/MCI Diagnosis,” NeuroImage, Vol. 101, pp. 569-582, November 2014 (2012-JCR-IF: 6.252, RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: 3/120, NEUROSCIENCE, 26/252, NEUROIMAGING: 2/14) 

  • X. Zhu, H.-I. SUK, and D. Shen, “A Novel Matrix-Similarity Based Loss Function for Joint Regression and Classification in AD Diagnosis,” NeuroImage, Vol. 100, pp. 91-105, October 2014 (2012-JCR-IF: 6.252, RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: 3/120, NEUROSCIENCE, 26/252, NEUROIMAGING: 2/14) 

  • H.-I. SUK, S.-W. Lee, and D. Shen, “Subclass-Based Multi-Task Learning for Alzheimer's Disease Diagnosis,” Frontiers in Aging Neuroscience, Vol. 6, No. 168, pp. 1-12, August 2014 (2012-JCR-IF: 5.224, GERIATRICS & GERONTOLOGY: 5/47, NEUROSCIENCE, 40/252) 

  • H.-I. SUK, S. Fazli, J. Mehnert, K.-R. Müller, and S.-W. Lee, “Predicting BCI Subject Performance Using Probabilistic Spatio-Temporal Filters,” PLoS One, Vol. 9, No. 2, e87056, February 2014 (2012-JCR-IF: 3.730, MULTIDISCIPLINARY SCIENCES: 7/56)

 

 

 

[2013]

  • H.-I. SUK and S.-W. Lee, “A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, No. 2, pp. 286-299, February 2013 (2011-JCR-IF: 4.908, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE: 1/111, ELECTRICAL & ELECTRONIC ENGINEERING: 6/245) 

  • T.-E. Kam, H.-I. SUK, and S.-W. Lee, “Non-Homogeneous Spatial Filter Optimization for EEG-Based Motor Imagery Classification,” Neurocomputing, Vol. 108, pp. 58-68, May 2013 (2011-JCR-IF: 1.580, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE: 39/111) 

  • S.-K. Yeom, H.-I. SUK, and S.-W. Lee, “Person Authentication from Neural Activity of Face-Specific Visual Self-Representation,” Pattern Recognition, Vol. 46, No. 4,  pp. 1159-1169, April 2013 (2011-JCR-IF: 2.292, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE: 18/111, ENGINEERING, ELECTRICAL & ELECTRONIC: 35/245)

  • H.-I. SUK, Y. Wang, and S.-W. Lee, “Incremental Sparse Pseudo-input Gaussian Process Regression,” International Journal of Pattern Recognition and Artificial Intelligence, Vol. 26, No. 8, pp. 1250019, January 2013 (2011-JCR-IF: 0.624) 

 

 

 

[2012]

  • H.-D. Yang, H.-I. SUK, and S.-W. Lee, “Accelerating Generalized Iterative Scaling Based on Staggered Aitken Method for On-line Conditional Random Fields,” International Journal of Wavelets Multiresolution and Information Processing, Vol. 10, No. 6, pp. 1250059, December 2012 

  • D.-C. Hur, H.-I. SUK, C. Wallraven, and S.-W. Lee, “Biased Manifold Learning for View Invariant Body Pose Estimation,” International Journal of Wavelets, Multiresolution and Information Processing, Vol. 10, No. 6, pp. 1250058, December 2012

 

 

 

[~2011]

  • H.-I. SUK, A. K. Jain, and S.-W. Lee, “A Network of Dynamic Probabilistic Models for Human Interaction Analysis,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 21, No. 7, pp. 932-945, July 2011 (2009-JCR-IF: 2.548, ELECTRICAL & ELECTRONIC ENGINEERING: 24/246) 

  • H.-I. SUK and S.-W. Lee, “Subject and Class Specific Frequency Bands Selection for Multi-Class Motor Imagery Classification,” International Journal of Imaging Systems and Technology - Neuroimaging and Brain-Mapping, Vol. 21, No. 2, pp. 121-122, June 2011 (2011-JCR-IF: 0.779) 

  • H.-I. SUK, B.-K. Sin, and S.-W. Lee, “Hand Gesture Recognition based on Dynamic Bayesian Network,” Pattern Recognition, Vol. 43, No. 9, pp. 3059-3072, September 2010 (2009-JCR-IF: 2.554, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE: 21/103, ELECTRICAL & ELECTRONIC ENGINEERING: 23/246)

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