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Kwang Gi Kim
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Journal Articles
- 2024
- [j33]Tae Joon Kim, Young Jae Kim, Kwang Gi Kim:
Comparative Analysis of Brain Tumor Image Segmentation Performance of 2D U-Net and 3D U-Nets with Alternative Normalization Methods. J. Multim. Inf. Syst. 11(2): 157-166 (2024) - [j32]Tae-Hyeon Lee, Kicheol Yoon, Sangyun Lee, Woong Rak Choi, Kwang Gi Kim
:
Comparative Sensing and Judgment Control System for Temperature Maintenance for Optimal Treatment in Hyperthermic Intraperitoneal Chemotherapy Surgery. Sensors 24(2): 596 (2024) - [j31]Jongwook Whangbo, Juhui Lee
Deep Learning-Based Multi-Class Segmentation of the Paranasal Sinuses of Sinusitis Patients Based on Computed Tomographic Images. Sensors 24(6): 1933 (2024) - [j30]Sae Byeol Mun, Young Jae Kim, Ju Hyoung Lee, Gyu Cheol Han, Sung Ho Cho, Seok Jin, Kwang Gi Kim
Deep Learning-Based Nystagmus Detection for BPPV Diagnosis. Sensors 24(11): 3417 (2024) - [j29]Jina Park, Jeongmin Seo, Kicheol Yoon, Sangyun Lee, Minchan Kim, Seung Yeob Ryu, Kwang Gi Kim
Increasing the Beam Width and Intensity with Refraction Power Effect Using a Combination of Beam Mirrors and Concave Mirrors for Surgical-Fluorescence-Emission-Guided Cancer Monitoring Method. Sensors 24(17): 5503 (2024) - 2023
- [j28]Jaehwang Seol
Automatic Control System for Precise Intravenous Therapy Using Computer Vision Based on Deep Learning. IEEE Access 11: 121870-121881 (2023) - [j27]Yong-Tae Kim, Tae Seok Jeong, Young Jae Kim, Woo Seok Kim, Kwang Gi Kim
Automatic Spine Segmentation and Parameter Measurement for Radiological Analysis of Whole-Spine Lateral Radiographs Using Deep Learning and Computer Vision. J. Digit. Imaging 36(4): 1447-1459 (2023) - [j26]Kicheol Yoon, Sangyun Lee, Tae-Hyeon Lee, Kwang Gi Kim
The Design of an Automatic Temperature Compensation System through Smart Heat Comparison/Judgment and Control for Stable Thermal Treatment in Hyperthermic Intraperitoneal Chemotherapy (HIPEC) Surgery. Sensors 23(15): 6722 (2023) - 2022
- [j25]Hyo Min Lee
Computer-Aided Diagnosis for Determining Sagittal Spinal Curvatures Using Deep Learning and Radiography. J. Digit. Imaging 35(4): 846-859 (2022) - [j24]Seok Oh, Young-Jae Kim, Young-Taek Park
Automatic Pancreatic Cyst Lesion Segmentation on EUS Images Using a Deep-Learning Approach. Sensors 22(1): 245 (2022) - [j23]Yu Jin Seol
A Study on 3D Deep Learning-Based Automatic Diagnosis of Nasal Fractures. Sensors 22(2): 506 (2022) - [j22]Kicheol Yoon, Kwang Gi Kim
Miniaturized Bandpass Filter Using a Combination of T-Shaped Folded SIR Short Loaded Stubs. Sensors 22(7): 2708 (2022) - [j21]Hyo Min Lee
Segmentation Performance Comparison Considering Regional Characteristics in Chest X-ray Using Deep Learning. Sensors 22(9): 3143 (2022) - [j20]Yoon Ji Kim
RGB Channel Superposition Algorithm with Acetowhite Mask Images in a Cervical Cancer Classification Deep Learning Model. Sensors 22(9): 3564 (2022) - [j19]Yu Jin Seol
The Development of an Automatic Rib Sequence Labeling System on Axial Computed Tomography Images with 3-Dimensional Region Growing. Sensors 22(12): 4530 (2022) - [j18]Kicheol Yoon, Kwang Gi Kim
Clip-Detector Using a Neodymium Magnet to Locate Malignant Tumors during Laparoscopic Surgery. Sensors 22(14): 5404 (2022) - [j17]Sangyun Lee, Kicheol Yoon, Jungmin Kim, Kwang Gi Kim
Specular Reflection Suppression through the Adjustment of Linear Polarization for Tumor Diagnosis Using Fluorescein Sodium. Sensors 22(17): 6651 (2022) - 2021
- [j16]Dong Hyun Kim, Jin Gyo Jeong
Automated Vertebral Segmentation and Measurement of Vertebral Compression Ratio Based on Deep Learning in X-Ray Images. J. Digit. Imaging 34(4): 853-861 (2021) - [j15]Hee Jae Kwon, Gi Pyo Lee, Young Jae Kim, Kwang Gi Kim:
Comparison of Pre-processed Brain Tumor MR Images Using Deep Learning Detection Algorithms. J. Multim. Inf. Syst. 8(2): 79-84 (2021) - [j14]Jinkyu Kim, Kicheol Yoon, Kwang Gi Kim
Design of a Long-Pass Filter with Effects on Fluorescence Image Observation for Surgical Fluorescence Microscope Applications. Symmetry 13(9): 1571 (2021) - 2020
- [j13]Jang Hyung Lee, Sun Young Kyung, Pyung Chun Oh, Kwang Gi Kim
Heart Sound Classification Using Multi Modal Data Representation and Deep Learning. J. Medical Imaging Health Informatics 10(3): 537-543 (2020) - 2019
- [j12]Yeoun-Jae Kim
Gain determination of feedback force for an ultrasound scanning robot using genetic algorithm. Int. J. Comput. Assist. Radiol. Surg. 14(5): 797-807 (2019) - [j11]Young Jae Kim
The Effect of CT Scan Parameters on the Measurement of CT Radiomic Features: A Lung Nodule Phantom Study. Comput. Math. Methods Medicine 2019: 8790694:1-8790694:12 (2019) - 2018
- [j10]Young Jae Kim
Automated Segmentation Methods of Drusen to Diagnose Age-Related Macular Degeneration Screening in Retinal Images. Comput. Math. Methods Medicine 2018: 6084798:1-6084798:8 (2018) - [j9]Young Jae Kim, Seung Hyun Lee, Kun Young Lim, Kwang Gi Kim
Development and Validation of Segmentation Method for Lung Cancer Volumetry on Chest CT. J. Digit. Imaging 31(4): 505-512 (2018) - [j8]Junghun Cho, Jang Hyung Lee, Kwang Gi Kim:
An Introduction of Myo Armband and Its Comparison with Motion Capture Systems. J. Multim. Inf. Syst. 5(2): 115-120 (2018) - 2017
- [j7]Yeoun-Jae Kim
An EMG-based variable impedance control for elbow exercise: preliminary study. Adv. Robotics 31(15): 809-820 (2017) - 2016
- [j6]Jenie Nam, Young Jae Kim, Seung Hyun Lee, Kwang Gi Kim:
Brain Hologram Visualization for Diagnosis of Tumors using Graphic Imaging. J. Multim. Inf. Syst. 3(3): 47-52 (2016) - [j5]Jin Lee, Kwang Jong Choi, Seong Jung Kim, Ji Eun Oh, Woong Bae Yoon, Kwang Gi Kim:
Breast Mass Classification using the Fundamental Deep Learning Approach: To build the optimal model applying various methods that influence the performance of CNN. J. Multim. Inf. Syst. 3(3): 97-102 (2016) - 2013
- [j4]Young Jae Kim, Seung Hyun Lee, Tae Yun Kim, Jeongyun Park, Seung Hong Choi
Body Fat Assessment Method Using CT Images with Separation Mask Algorithm. J. Digit. Imaging 26(2): 155-162 (2013) - 2011
- [j3]Jang Pyo Bae, Kwang Gi Kim
A Study on Hemorrhage Detection Using Hybrid Method in Fundus Images. J. Digit. Imaging 24(3): 394-404 (2011) - [j2]Chang Bu Jeong, Kwang Gi Kim
Comparison of Image Enhancement Methods for the Effective Diagnosis in Successive Whole-Body Bone Scans. J. Digit. Imaging 24(3): 424-436 (2011) - 2010
- [j1]Hak Jong Lee, Kwang Gi Kim
Differentiation of Urinary Stone and Vascular Calcifications on Non-contrast CT Images: An Initial Experience using Computer Aided Diagnosis. J. Digit. Imaging 23(3): 268-276 (2010)
Conference and Workshop Papers
- 2022
- [c10]Ji Soo Jeon, Young Jae Kim, Kwang Gi Kim:
Automatic measurement algorithm of femoral/tibial torsion on standardized CT slices. ICTC 2022: 733-735 - [c9]Dae Jin Kim, Young Jae Kim, Youngbae Jeon, Jeong-Heum Baek, Kwang Gi Kim:
A Study on Liver Segments Separation and Hologram Visualization Using Deep Learning-Based Liver Vascular in CT Images. ICTC 2022: 736-738 - [c8]Minchan Kim, Kwang Gi Kim, Kicheol Yoon, Sangyun Lee:
Hologram clinical system for standardization of brain computer interface. ICTC 2022: 745-747 - [c7]Kicheol Yoon, Kwang Gi Kim:
Standardization of brain computer interface based on brain desease sensor safty and rectenna applications. ICTC 2022: 748-750 - [c6]Young Jae Kim, Sohyun Byun, Chung il Ahn, Sangwook Cho, Kwang Gi Kim:
Automatic polyp detection using SmartEndo-Net based on fusion feature pyramid network with mix-up edges. Computer-Aided Diagnosis 2022 - 2021
- [c5]Ye Rang Park, Young Jae Kim, Kwang Gi Kim
Deep learning-based brain metastatic detection and treatment response assessment system on 3D MRI. ICTC 2021: 1-3 - [c4]Jae Won Seo, Young Jae Kim, Kwang Gi Kim
Deep vein thrombosis detection based on deep learning for CT images. ICTC 2021: 682-684 - 2016
- [c3]Yeoun-Jae Kim, Kwang-Gi Kim:
Foot Placement Estimator for stepping down movement. ROBIO 2016: 1662-1666 - 2011
- [c2]Myungeun Lee, Yanjuan Chen, Soo-Hyung Kim, Kwanggi Kim:
Geometric Active Model for Lesion Segmentation on Breast Ultrasound Images. CIT 2011: 150-157 - 2007
- [c1]June-Goo Lee, Se Hyung Kim, Jong Hyo Kim, Namkug Kim
A novel algorithm for polyp detection using Eigen decomposition of Hessian-matrix for CT colonography CAD: validation with physical phantom study. Computer-Aided Diagnosis 2007: 65142K
Coauthor Index
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last updated on 2024-11-28 21:30 CET by the dblp team
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