Tae-Seong Kim, Ph.D.
Tae-Seong Kim, Ph.D.
Professor of Biomedical Engineering, Kyung Hee University
Verified email at khu.ac.kr - Homepage
Title
Cited by
Cited by
Year
A triaxial accelerometer-based physical-activity recognition via augmented-signal features and a hierarchical recognizer
AM Khan, YK Lee, SY Lee, TS Kim
IEEE transactions on information technology in biomedicine 14 (5), 1166-1172, 2010
5992010
Human activity recognition via an accelerometer-enabled-smartphone using kernel discriminant analysis
AM Khan, YK Lee, SY Lee, TS Kim
2010 5th international conference on future information technology, 1-6, 2010
2702010
3-D hand motion tracking and gesture recognition using a data glove
JH Kim, ND Thang, TS Kim
2009 IEEE International Symposium on Industrial Electronics, 1013-1018, 2009
1792009
Depth video-based human activity recognition system using translation and scaling invariant features for life logging at smart home
A Jalal, MZ Uddin, TS Kim
IEEE Transactions on Consumer Electronics 58 (3), 863-871, 2012
1742012
Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks
MA Al-Masni, MA Al-Antari, MT Choi, SM Han, TS Kim
Computer methods and programs in biomedicine 162, 221-231, 2018
1602018
Vessel enhancement filter using directional filter bank
PTH Truc, MAU Khan, YK Lee, S Lee, TS Kim
Computer Vision and Image Understanding 113 (1), 101-112, 2009
1452009
Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system
MA Al-Masni, MA Al-Antari, JM Park, G Gi, TY Kim, P Rivera, E Valarezo, ...
Computer methods and programs in biomedicine 157, 85-94, 2018
1422018
Correlation between BOLD‐fMRI and EEG signal changes in response to visual stimulus frequency in humans
M Singh, S Kim, TS Kim
Magnetic Resonance in Medicine: An Official Journal of the International …, 2003
1292003
A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification
MA Al-Antari, MA Al-Masni, MT Choi, SM Han, TS Kim
International journal of medical informatics 117, 44-54, 2018
1272018
Accelerometer signal-based human activity recognition using augmented autoregressive model coefficients and artificial neural nets
AM Khan, YK Lee, TS Kim
2008 30th Annual International Conference of the IEEE Engineering in …, 2008
1212008
Human activity recognition via recognized body parts of human depth silhouettes for residents monitoring services at smart home
A Jalal, N Sarif, JT Kim, TS Kim
Indoor and built environment 22 (1), 271-279, 2013
1082013
An enhanced independent component-based human facial expression recognition from video
MZ Uddin, JJ Lee, TS Kim
IEEE Transactions on Consumer Electronics 55 (4), 2216-2224, 2009
1062009
Electrical conductivity images of biological tissue phantoms in MREIT
SH Oh, BI Lee, EJ Woo, SY Lee, TS Kim, O Kwon, JK Seo
Physiological Measurement 26 (2), S279, 2005
1052005
Recognition of human home activities via depth silhouettes and ℜ transformation for Smart Homes
A Jalal, MZ Uddin, JT Kim, TS Kim
Indoor and Built Environment 21 (1), 184-190, 2012
1032012
Accelerometer’s position independent physical activity recognition system for long-term activity monitoring in the elderly
AM Khan, YK Lee, S Lee, TS Kim
Medical & biological engineering & computing 48 (12), 1271-1279, 2010
1012010
Regional electric field induced by electroconvulsive therapy in a realistic finite element head model: influence of white matter anisotropic conductivity
WH Lee, ZD Deng, TS Kim, AF Laine, SH Lisanby, AV Peterchev
Neuroimage 59 (3), 2110-2123, 2012
992012
A single tri-axial accelerometer-based real-time personal life log system capable of human activity recognition and exercise information generation
MW Lee, AM Khan, TS Kim
Personal and Ubiquitous Computing 15 (8), 887-898, 2011
952011
Segmentation of functional MRI by K-means clustering
M Singh, P Patel, D Khosla, T Kim
IEEE Transactions on Nuclear Science 43 (3), 2030-2036, 1996
861996
Influence of anisotropic conductivity in the skull and white matter on transcranial direct current stimulation via an anatomically realistic finite element head model
HS Suh, WH Lee, TS Kim
Physics in Medicine & Biology 57 (21), 6961, 2012
722012
An efficient word typing P300-BCI system using a modified T9 interface and random forest classifier
F Akram, SM Han, TS Kim
Computers in biology and medicine 56, 30-36, 2015
712015
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