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Keewon Shin
Keewon Shin
Depertment of Artificial Intelligence, Korea University College of Medicine
在 korea.ac.kr 的电子邮件经过验证
标题
引用次数
引用次数
年份
Deep learning in medical imaging
M Kim, J Yun, Y Cho, K Shin, R Jang, H Bae, N Kim
Neurospine 16 (4), 657, 2019
2892019
Convolutional neural network technology in endoscopic imaging: artificial intelligence for endoscopy
J Choi, K Shin, J Jung, HJ Bae, DH Kim, JS Byeon, N Kim
Clinical endoscopy 53 (2), 117-126, 2020
562020
Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network
HJ Bae, H Hyun, Y Byeon, K Shin, Y Cho, YJ Song, S Yi, SU Kuh, ...
Computer methods and programs in biomedicine 184, 105119, 2020
452020
Deep learning–based detection of solid and cystic pancreatic neoplasms at contrast-enhanced CT
HJ Park, K Shin, MW You, SG Kyung, SY Kim, SH Park, JH Byun, N Kim, ...
Radiology 306 (1), 140-149, 2022
232022
Deep learning in medical imaging
M Kim, J Yun, Y Cho, K Shin, R Jang, H Bae, N Kim
Neurospine 17 (2), 471, 2020
222020
Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT
S Kyung, K Shin, H Jeong, KD Kim, J Park, K Cho, JH Lee, GS Hong, ...
Medical Image Analysis 81, 102489, 2022
152022
Overcoming the challenges in the development and implementation of artificial intelligence in radiology: a comprehensive review of solutions beyond supervised learning
GS Hong, M Jang, S Kyung, K Cho, J Jeong, GY Lee, K Shin, KD Kim, ...
Korean Journal of Radiology 24 (11), 1061, 2023
102023
Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears?
H Kim, K Shin, H Kim, E Lee, SW Chung, KH Koh, N Kim
PLoS One 17 (10), e0274075, 2022
82022
Enhancement of evaluating flatfoot on a weight-bearing lateral radiograph of the foot with U-Net based semantic segmentation on the long axis of tarsal and metatarsal bones in …
SM Ryu, K Shin, SW Shin, S Lee, N Kim
Computers in Biology and Medicine 145, 105400, 2022
72022
Screening of adolescent idiopathic scoliosis using generative adversarial network (GAN) inversion method in chest radiographs
JS Lee, K Shin, SM Ryu, SG Jegal, W Lee, MA Yoon, GS Hong, S Paik, ...
Plos one 18 (5), e0285489, 2023
52023
Automated landmark identification for diagnosis of the deformity using a cascade convolutional neural network (FlatNet) on weight-bearing lateral radiographs of the foot
SM Ryu, K Shin, SW Shin, SH Lee, SM Seo, S Cheon, SA Ryu, JS Kim, ...
Computers in Biology and Medicine 148, 105914, 2022
52022
An Image Turing Test on Realistic Gastroscopy Images Generated by Using the Progressive Growing of Generative Adversarial Networks
K Shin, JS Lee, JY Lee, H Lee, J Kim, JS Byeon, HY Jung, DH Kim, N Kim
Journal of Digital Imaging 36 (4), 1760-1769, 2023
42023
A Study of Cage Rotational Stability of Cryogenic Turbopump Ball Bearing considering on Axial Cooling Flow
K Shin
Hanyang university, master’s thesis, 2013
42013
Diagnosis of scoliosis using chest radiographs with a semi-supervised generative adversarial network
W Lee, K Shin, J Lee, SJ Yoo, MA Yoon, YW Choi, GS Hong, N Kim, ...
Journal of the Korean Society of Radiology 83 (6), 1298, 2022
32022
Enhancing the performance of premature ventricular contraction detection in unseen datasets through deep learning with denoise and contrast attention module
K Shin, H Kim, WY Seo, HS Kim, JM Shin, DK Kim, YS Park, SH Kim, ...
Computers in Biology and Medicine 166, 107532, 2023
22023
Diagnosis of osteoporotic vertebral compression fractures and fracture level detection using multitask learning with U-Net in lumbar spine lateral radiographs
SM Ryu, S Lee, M Jang, JM Koh, SJ Bae, SG Jegal, K Shin, N Kim
Computational and Structural Biotechnology Journal 21, 3452-3458, 2023
22023
Ryoungwoo Jang Hyun-Jin Bae and Namkug Kim. Deep learning in medical imaging
M Kim, J Yun, Y Cho, K Shin
Neurospine 16 (4), 657-668, 2019
22019
Machine learning models with time-series clinical features to predict radiographic progression in patients with ankylosing spondylitis
B San Koo, M Jang, JS Oh, K Shin, S Lee, KB Joo, N Kim, TH Kim
Journal of Rheumatic Diseases 31 (2), 97-107, 2024
12024
Automated diagnosis of flatfoot using cascaded convolutional neural network for angle measurements in weight-bearing lateral radiographs
SM Ryu, K Shin, SW Shin, SH Lee, SM Seo, SU Cheon, SA Ryu, MJ Kim, ...
European Radiology 33 (7), 4822-4832, 2023
12023
Method and apparatus for analyzing blood vessel based on machine learning model
N Kim, S Keewon, D Kim
US Patent App. 18/209,389, 2024
2024
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