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Young Jae Kim
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2020 – today
- 2024
- [j24]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) - [j23]Jongwook Whangbo, Juhui Lee
, Young Jae Kim, Seon Tae Kim
, Kwang Gi Kim
:
Deep Learning-Based Multi-Class Segmentation of the Paranasal Sinuses of Sinusitis Patients Based on Computed Tomographic Images. Sensors 24(6): 1933 (2024) - [j22]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) - 2023
- [j21]Yong-Tae Kim, Tae Seok Jeong, Young Jae Kim, Woo Seok Kim, Kwang Gi Kim
, Gi Taek Yee:
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) - [j20]JunNyung Hur
, Hyeon Gy Shon, Young Jae Kim, Myungkeun Yoon
:
Packet Chunking for File Detection. IEEE/ACM Trans. Netw. 31(3): 1202-1215 (2023) - 2022
- [j19]Hyo Min Lee
, Young Jae Kim
, Je Bok Cho, Ji Young Jeon
, Kwang Gi Kim
:
Computer-Aided Diagnosis for Determining Sagittal Spinal Curvatures Using Deep Learning and Radiography. J. Digit. Imaging 35(4): 846-859 (2022) - [j18]Yu Jin Seol
, Young Jae Kim, Yoon Sang Kim, Young Woo Cheon, Kwang Gi Kim
:
A Study on 3D Deep Learning-Based Automatic Diagnosis of Nasal Fractures. Sensors 22(2): 506 (2022) - [j17]Young Jae Kim, Chan-Hyeok Park, MyungKeun Yoon:
FILM: Filtering and Machine Learning for Malware Detection in Edge Computing. Sensors 22(6): 2150 (2022) - [j16]Hyo Min Lee
, Young Jae Kim, Kwang Gi Kim
:
Segmentation Performance Comparison Considering Regional Characteristics in Chest X-ray Using Deep Learning. Sensors 22(9): 3143 (2022) - [j15]Yoon Ji Kim
, Woong Ju, Kye Hyun Nam, Soo Nyung Kim, Young Jae Kim, Kwang Gi Kim
:
RGB Channel Superposition Algorithm with Acetowhite Mask Images in a Cervical Cancer Classification Deep Learning Model. Sensors 22(9): 3564 (2022) - [j14]Yu Jin Seol
, So Hyun Park, Young Jae Kim, Young-Taek Park
, Hee Young Lee, Kwang Gi Kim
:
The Development of an Automatic Rib Sequence Labeling System on Axial Computed Tomography Images with 3-Dimensional Region Growing. Sensors 22(12): 4530 (2022) - [j13]Jeonghoon Lee
, Jong Seok Ahn
, Myung Jin Chung, Yeon Joo Jeong, Jin Hwan Kim, Jae Kwang Lim, Jin Young Kim, Young Jae Kim, Jong Eun Lee
, Eun Young Kim:
Development and Validation of a Multimodal-Based Prognosis and Intervention Prediction Model for COVID-19 Patients in a Multicenter Cohort. Sensors 22(13): 5007 (2022) - [j12]Young Jae Kim
:
Machine Learning Model Based on Radiomic Features for Differentiation between COVID-19 and Pneumonia on Chest X-ray. Sensors 22(17): 6709 (2022) - [c9]Ji Soo Jeon, Young Jae Kim, Kwang Gi Kim:
Automatic measurement algorithm of femoral/tibial torsion on standardized CT slices. ICTC 2022: 733-735 - [c8]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 - [c7]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. Medical Imaging: Computer-Aided Diagnosis 2022 - 2021
- [j11]Dong Hyun Kim, Jin Gyo Jeong
, Young Jae Kim, Kwang Gi Kim
, Ji Young Jeon:
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) - [j10]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) - [c6]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 - [c5]Jae Won Seo, Young Jae Kim, Kwang Gi Kim
:
Deep vein thrombosis detection based on deep learning for CT images. ICTC 2021: 682-684 - [c4]JunNyung Hur
, Hahoon Jeon, Hyeon Gy Shon, Young Jae Kim, MyungKeun Yoon:
Finding Critical Files from a Packet. INFOCOM 2021: 1-10 - 2020
- [j9]Gun-Yoon Shin, Sung-Sam Hong, Dong-Wook Kim, Cheol-Hun Hwang, Myung-Mook Han, Hwayoung Kim, Young Jae Kim:
A framework of Multi Linear Regression based on Fuzzy Theory and Situation Awareness and its application to Beach Risk Assessment. KSII Trans. Internet Inf. Syst. 14(7): 3039-3056 (2020)
2010 – 2019
- 2019
- [j8]Myungkeun Yoon
, Young Jae Kim:
Address Block Counting Using Two-Tier Cardinality Estimation. IEEE Access 7: 125754-125761 (2019) - [j7]Young Jae Kim
, Hyun-Ju Lee
, Kwang Gi Kim
, Seung Hyun Lee:
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) - [c3]Young Jae Kim, Kukjin Chun:
Novel Sperm Sorting Microfluidic Chip With Feedback Channel and Vertical Orientation. IEEE SENSORS 2019: 1-4 - [c2]Young Jae Kim, Kukjin Chun:
Lensless Imaging Sensor Kit for Sperm Counting with Microfluidic Chip. SAS 2019: 1-4 - 2018
- [j6]Young Jae Kim
, Kwang Gi 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) - [j5]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) - 2017
- [j4]Se Jong Oh, Young Jae Kim, Ill Chul Doo:
Study of profit model of web-dramas on portal sites using big data; Focused on the Web-dramas with the K-pop Singers as the Lead Casts: "EXO, Next Door" and "I Order You". Multim. Tools Appl. 76(4): 6097-6110 (2017) - 2016
- [j3]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) - 2015
- [c1]Jae Hwa Seo, Young Jun Yoon, Sung Yoon Kim, Young Jae Kim, In Man Kang:
RF performance of InGaAs-based T-gate junctionless field-effect transistors which applicable for high frequency network systems. ICOIN 2015: 519-520 - 2013
- [j2]Young Jae Kim, Seung Hyun Lee, Tae Yun Kim, Jeongyun Park, Seung Hong Choi
, Kwang Gi Kim
:
Body Fat Assessment Method Using CT Images with Separation Mask Algorithm. J. Digit. Imaging 26(2): 155-162 (2013) - 2011
- [j1]Sung Hoon Yang, Chang Bok Lee, Young Kyu Lee, Jong Koo Lee, Young Jae Kim, Sang Jeong Lee
:
Accuracy Improvement Technique for Timing Application of LORAN-C Signal. IEEE Trans. Instrum. Meas. 60(7): 2648-2654 (2011)
Coauthor Index
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last updated on 2024-08-16 00:38 CEST by the dblp team
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