Tae-Seong Kim, Ph.D.
Tae-Seong Kim, Ph.D.
Professor of Biomedical Engineering, Kyung Hee University
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Citado por
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
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
KIKI‐net: cross‐domain convolutional neural networks for reconstructing undersampled magnetic resonance images
T Eo, Y Jun, T Kim, J Jang, HJ Lee, D Hwang
Magnetic resonance in medicine 80 (5), 2188-2201, 2018
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
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
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
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
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
Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification
MA Al-Masni, DH Kim, TS Kim
Computer methods and programs in biomedicine 190, 105351, 2020
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
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
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
Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms
MA Al-Antari, SM Han, TS Kim
Computer methods and programs in biomedicine 196, 105584, 2020
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
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
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
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
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
An automatic computer-aided diagnosis system for breast cancer in digital mammograms via deep belief network
MA Al-Antari, MA Al-Masni, SU Park, JH Park, MK Metwally, YM Kadah, ...
Journal of Medical and Biological Engineering 38, 443-456, 2018
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, 887-898, 2011
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