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Computers in Biology and Medicine
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March 31, 2022
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 an active learning manner
Seung Min Ryu, Keewon Shin, Soo Wung Shin, et al.
Frontiers in Artificial Intelligence
|
April 6, 2026
Deep learning-based assessment of coronary artery disease using curved-multiplanar reconstruction: comprehensive evaluation of stenosis, calcification, and plaque
Keewon Shin, Namkug Kim, Jonathan A Leipsic, et al.
Neurospine
|
January 7, 2020
Deep Learning in Medical Imaging
Mingyu Kim, Jihye Yun, Yongwon Cho, et al.
Neurospine
|
July 4, 2020
Deep Learning in Medical Imaging
Mingyu Kim, Jihye Yun, Yongwon Cho, et al.
Plos One
|
October 10, 2022
Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears?
Hyojune Kim, Keewon Shin, Hoyeon Kim, et al.
Clinical Endoscopy
|
April 8, 2020
Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy
Joonmyeong Choi, Keewon Shin, Jinhoon Jung, et al.
Biomedical Engineering Letters
|
March 3, 2025
Enhancement of phonocardiogram segmentation using convolutional neural networks with Fourier transform module
Changhyun Park, Keewon Shin, Jinew Seo, et al.
Computational and Structural Biotechnology Journal
|
July 17, 2023
Diagnosis of osteoporotic vertebral compression fractures and fracture level detection using multitask learning with U-Net in lumbar spine lateral radiographs
Seung Min Ryu, Soyoung Lee, Miso Jang, et al.
Journal of Rheumatic Diseases
|
April 1, 2024
Machine learning models with time-series clinical features to predict radiographic progression in patients with ankylosing spondylitis
Bon San Koo, Miso Jang, Ji Seon Oh, et al.
Medical Image Analysis
|
August 8, 2022
Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT
Sunggu Kyung, Keewon Shin, Hyunsu Jeong, et al.
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of 3
Search research articles
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Showing results (1-10 of 25) with videos related to
Sort By:
Page
of 3
Computers in Biology and Medicine
|
March 31, 2022
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 an active learning manner
Seung Min Ryu, Keewon Shin, Soo Wung Shin, et al.
Frontiers in Artificial Intelligence
|
April 6, 2026
Deep learning-based assessment of coronary artery disease using curved-multiplanar reconstruction: comprehensive evaluation of stenosis, calcification, and plaque
Keewon Shin, Namkug Kim, Jonathan A Leipsic, et al.
Neurospine
|
January 7, 2020
Deep Learning in Medical Imaging
Mingyu Kim, Jihye Yun, Yongwon Cho, et al.
Neurospine
|
July 4, 2020
Deep Learning in Medical Imaging
Mingyu Kim, Jihye Yun, Yongwon Cho, et al.
Plos One
|
October 10, 2022
Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears?
Hyojune Kim, Keewon Shin, Hoyeon Kim, et al.
Clinical Endoscopy
|
April 8, 2020
Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy
Joonmyeong Choi, Keewon Shin, Jinhoon Jung, et al.
Biomedical Engineering Letters
|
March 3, 2025
Enhancement of phonocardiogram segmentation using convolutional neural networks with Fourier transform module
Changhyun Park, Keewon Shin, Jinew Seo, et al.
Computational and Structural Biotechnology Journal
|
July 17, 2023
Diagnosis of osteoporotic vertebral compression fractures and fracture level detection using multitask learning with U-Net in lumbar spine lateral radiographs
Seung Min Ryu, Soyoung Lee, Miso Jang, et al.
Journal of Rheumatic Diseases
|
April 1, 2024
Machine learning models with time-series clinical features to predict radiographic progression in patients with ankylosing spondylitis
Bon San Koo, Miso Jang, Ji Seon Oh, et al.
Medical Image Analysis
|
August 8, 2022
Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT
Sunggu Kyung, Keewon Shin, Hyunsu Jeong, et al.
Page
of 3