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Research
1. Deep Learning
Recurrent Neural Network(RNN)를 활용한 휴먼행위 인식 기술
Recurrent Neural Network(RNN)를 활용한 휴먼행위 인식 기술
Convolutional Neural Network을 활용한 글자 영상 판독 기술
Convolutional Neural Network를 활용한 사람/비사람 영상 판독 기술
Automatic Computer-Aided Diagnosis of Breast Cancer in Digital Mammograms via Deep Belief Network
2. 3D Human Pose Recognition & Human Activity Recognition
뎁스 영상 기반 핸드 포즈 인식 기술
3. Human Activity Recognition using Accelerometer
4. Neural Signal Processing
(Neural Activity Modulation via Ultrasound Stimulation Measured on Multi-Channel Electrodes )
5. Brain Computer Interface(BCI)
6. Sleep Analysis
Automatic PSG System
l Deep
Learning Projects
- Deep
Reinforcement Learning & Anthropomorphic Robotic hand: Edwin et
al., 2020
- Human
Activity Recognition via CNN and RNN based on Depth Imaging and IMU Sensors: J.H. Park
et al., 2017; S.U.
Park et al., 2016
- Breast
Cancer Detection and Recognition via Deep Learning DBN: M. A.
Al-antari et al., 2017
- Breast
Cancer Computer Aided Diagnosis (CAD) Systems via Deep Learning: Mugahed
et al., 2018 Mohammed
et al., 2018
- Skin
Lesion Segmentation via Deep Learning: Mohammed
et al., 2018
- ISIC 2018 Deep
Learning Skin Lesion Segmentation, Detection, and Diagnosis Challenge
Leaderboards (Bioimaging-KHU) ranked 42 out of
112
- Samsung
Display TFT Display Defects Detection and Classification
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l 3D Depth Imaging,
Human Pose Recognition, & Human Activity Recognition
- Human
Pose Recognition from Depth Images: Nguyen Duc
Thang et al., 2011
- Human
Activity Recognition from Depth Images: Md.
Zia Uddin et al., 2010; A. Jalal et al., 2012
- Human
Computer Interaction
l Motion
Sensor-based Human Activity Recognition
- Human
Activity Recognition Using Accelerometers: A.M.
Khan et al., 2010; A.M.
Khan et al., 2010
- Personal
Life Logging: Myung-Woo
Lee et al., 2011
l Smart
Home Technologies: Activity Recognition, Life Logging, Gesture Interface,
HCI
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l Brain
Stimulation Technologies
- Transcranial
Direct Current Stimulation (tDCS): Lee et al., 2009;
W.
H. Lee et al., 2012; H.
S. Suh et al., 2012
- Transmagnetic Magnetic Stimulation (TMS): Y.S.
Cho et al., 2010
- Brain
Stimulation via Ultrasound
l Brain
Computer Interface (BCI)
- P300-based
BCI: Khan et al., 2012
- P300-based
Word Typing BCI Systems
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l Ultrasonic
Imaging
- Ultrafine
Ultrasound: Kim et al.,
2003
- Ultrasound
Computed Tomography: Kim et al.,
2003; Marmarleis et
al., 2003; Kim
et al., 2005; Jeong
et al., 2004;
- Ultrasonic
Soft Tissue Differentiation: Kim et al., 2003; Jeong et al.,
2005;
- Finite
Element Analysis of Ultrasound Propagation: Kim
et al., 2009;
- Ultrasound
Pulse Detection: Kim
et al., 2009;
- Ultrasound
and Bone: S.H Kim et al.,
2009
- Photoacoustic
Imaging
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l Magnetic
Resonance Imaging (MRI)
- Functional
MRI: Singh
et al., 2002; Jeong et al.,
2004
- Breast
MREIT: Lee at al.,
2006
l Bioelectromagnetic Brain Imaging
- EEG/MEG:
T.S.
Kim et al., 2002
- Finite
Element Analysis of Bioelectromagnetics: Lee
et al., 2006
l Biomedical
Signal & Image Processing
- Independent
Component Analysis: Tahir et al., 2009;
- Medical
Image Enhancement and Denoising: Truc et al., 2009;
- Image
Segmentation: Truc
et al., 2008; Truc et
al., 2009;
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