분당서울대학교병원에 찾아오시는 길입니다.
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다양하고 유익한 건강상식을 제공해 드립니다.
Bo Ram Kim, Yusuhn Kang, Jaehyung Lee, Dongjun Choi, Kyong Joon Lee, Joong Mo Ahn, Eugene Lee, Joon Woo Lee, Heung Sik Kang
Tumor grading of soft tissue sarcomas: Assessment with whole-tumor histogram analysis of apparent diffusion coefficient.
Eur J Radiol
2022 ;151 :110319 -110319
Sung Hyun Yoon, Jihang Kim, Kyong Joon Lee, Chang-Mo Nam, Junghoon Kim, Kyung Hee Lee, Kyung Won Lee
Volumetric analysis of pulmonary nodules: reducing the discrepancy between the diameter-based volume calculation and voxel-counting method.
Quant Imaging Med Surg
2022 ;12 (3) :1674 -1683
Hyun-Doo Moon, Han-Gyeol Choi, Kyong-Joon Lee, Dong-Jun Choi, Hyun-Jin Yoo, Yong-Seuk Lee
Can Deep Learning Using Weight Bearing Knee Anterio-Posterior Radiograph Alone Replace a Whole-Leg Radiograph in the Interpretation of Weight Bearing Line Ratio?
J Clin Med
2021 ;10 (8)
Yusuhn Kang, Dongjun Choi, Kyong Joon Lee, Joo Han Oh, Bo Ram Kim, Joong Mo Ahn
Evaluating subscapularis tendon tears on axillary lateral radiographs using deep learning.
Eur Radiol
2021 ;31 (12) :9408 -9417
Yejin Jeon, Kyeorye Lee, Leonard Sunwoo, Dongjun Choi, Dong Yul Oh, Kyong Joon Lee, Youngjune Kim, Jeong-Whun Kim, Se Jin Cho, Sung Hyun Baik, Roh-Eul Yoo, Yun Jung Bae, Byung Se Choi, Cheolkyu Jung, Jae Hyoung Kim
Deep Learning for Diagnosis of Paranasal Sinusitis Using Multi-View Radiographs.
Diagnostics (Basel)
2021 ;11 (2)
Sang-Yeong Cho, Sun-Hwa Kim, Si-Hyuck Kang, Kyong Joon Lee, Dongjun Choi, Seungjin Kang, Sang Jun Park, Tackeun Kim, Chang-Hwan Yoon, Tae-Jin Youn, In-Ho Chae
Pre-existing and machine learning-based models for cardiovascular risk prediction.
Sci Rep
2021 ;11 (1) :8886 -8886
Jungheum Cho, Jihang Kim, Kyong Joon Lee, Chang Mo Nam, Sung Hyun Yoon, Hwayoung Song, Junghoon Kim, Ye Ra Choi, Kyung Hee Lee, Kyung Won Lee
Incidence Lung Cancer after a Negative CT Screening in the National Lung Screening Trial: Deep Learning-Based Detection of Missed Lung Cancers.
J Clin Med
2020 ;9 (12)
Dong Hyun Kim, Kyong Joon Lee, Dongjun Choi, Jae Ik Lee, Han Gyeol Choi, Yong Seuk Lee
Can Additional Patient Information Improve the Diagnostic Performance of Deep Learning for the Interpretation of Knee Osteoarthritis Severity.
J Clin Med
2020 ;9 (10)
Kim, Eu Young, Shin, Seung Yeon, Lee, Soochahn, Lee, Kyong Joon, Lee, Kyoung Ho, Lee, Kyoung Mu
Triplanar convolution with shared 2D kernels for 3D classification and shape retrieval
Computer Vision and Image Understanding
2020 ;193 :102901 -102901
Yong Dae Kim, Kyoung Jin Noh, Seong Jun Byun, Soochahn Lee, Tackeun Kim, Leonard Sunwoo, Kyong Joon Lee, Si-Hyuck Kang, Kyu Hyung Park, Sang Jun Park
Effects of Hypertension, Diabetes, and Smoking on Age and Sex Prediction from Retinal Fundus Images.
Sci Rep
2020 ;10 (1) :4623 -4623
Youngjune Kim, Dongjun Choi, Kyong Joon Lee, Yusuhn Kang, Joong Mo Ahn, Eugene Lee, Joon Woo Lee, Heung Sik Kang
Ruling out rotator cuff tear in shoulder radiograph series using deep learning: redefining the role of conventional radiograph.
Eur Radiol
2020 ;30 (5) :2843 -2852
Kyong Joon Lee, Inseon Ryoo, Dongjun Choi, Leonard Sunwoo, Sung-Hye You, Hye Na Jung
Performance of deep learning to detect mastoiditis using multiple conventional radiographs of mastoid.
PLoS One
2020 ;15 (11) :e0241796 -e0241796
Kyong Joon Lee , 이수찬, 선우준, 전창호, 오동렬
Phase-Based Nonrigid Deformation for Digital Subtraction Angiography
IEEE Access
2019
Kim Tackeun, Oh Chang Wan, Heo Jaehyuk, Jang Dong-Kyu, Sunwoo Leonard, Kim Joonghee, Lee Kyong Joon, Kang Si-Hyuck, Park Sang Jun, Kwon O-Ki
Machine learning for detecting moyamoya disease in plain skull radiography using a convolutional neural network
EBIOMEDICINE
2019 ;40 :636 -642
Chee Choong Guen, Kim Youngjune, Kang Yusuhn, Chae Hee-Dong, Cho Jungheum, Nam Chang-Mo, Choi Dongjun, Hong Sung Hwan, Kang Heung Sik, Lee Joon Woo, Ahn Joong Mo, Lee Kyong Joon, Lee Eugene
Performance of a Deep Learning Algorithm in Detecting Osteonecrosis of the Femoral Head on Digital Radiography: A Comparison With Assessments by Radiologists
AM J ROENTGENOL
2019 :1 -8
Kim Youngjune, Lee Kyong Joon, Sunwoo Leonard, Choi Dongjun, Nam Chang-Mo, Cho Jungheum, Kim Jihyun, Bae Yun Jung, Yoo Roh-Eul, Choi Byung Se, Jung Cheolkyu, Kim Jae Hyoung
Deep Learning in Diagnosis of Maxillary Sinusitis Using Conventional Radiography
INVEST RADIOL
2019 ;54 (1) :7 -15
Nam Chang-Mo, Lee Kyoung Ho, Lee Kyong Joon, Ko Yousun, Kim Kil Joong, Kim Bohyoung
Development of an algorithm to automatically compress a CT image to visually lossless threshold
BMC MED IMAGING
2018 ;18 (1)
Sunwoo Leonard, Kim Young Jae, Choi Seung Hong, Kim Kwang-Gi, Kang Ji Hee, Kang Yeonah, Bae Yun Jung, Yoo Roh-Eul, Kim Jihang, Lee Kyong Joon, Lee Seung Hyun, Choi Byung Se, Jung Cheolkyu, Sohn Chul-Ho, Kim Jae Hyoung
Computer-aided detection of brain metastasis on 3D MR imaging: Observer performance study
PLOS ONE
2017 ;12 (6)
Cha Dong Ik, Lee Min Woo, Song Kyoung Doo, Oh Young-Taek, Jeong Ja-Yeon, Chang Jung-Woo, Ryu Jiwon, Lee Kyong Joon, Kim Jaeil, Bang Won-Chul, Shin Dong Kuk, Choi Sung Jin, Koh Dalkwon, Seo Bong Koo, Kim Kyunga
A prospective comparison between auto-registration and manual registration of real-time ultrasound with MR images for percutaneous ablation or biopsy of hepatic lesions
Abdom Radiol (NY)
2017 ;42 (6) :1799 -1808
Cha Dong Ik, Lee Min Woo, Kim Ah Yeong, Kang Tae Wook, Oh Young-Taek, Jeong Ja-Yeon, Chang Jung-Woo, Ryu Jiwon, Lee Kyong Joon, Kim Jaeil, Bang Won-Chul, Shin Dong Kuk, Choi Sung Jin, Koh Dalkwon, Seo Bong Koo, Kim Kyunga
Automatic image fusion of real-time ultrasound with computed tomography images: a prospective comparison between two auto-registration methods
ACTA RADIOL
2017 ;58 (11) :1349 -1357
Kyong Joon Lee, 윤일동
Occlusion detecting window matching scheme for optical flow estimation with discrete optimization
Pattern Recognition Letters
2017 ;89 :73 -80
Kyong Joon Lee, 고유선, 이경호, 김동현
다기관 임상연구에서 영상자료의 중앙 저장 및 관리 체계: Low-dose CT for Appendicitis Trial에서의 경험
Journal of the Korean Society of Radiology
2017 ;76 (3) :165 -172
Ko Yousun, Kim Kyung Won, Lee Kyong Joon, Lee Kyoung Ho
Letter to the Editor: Sharing Image Data from Clinical Trials
J KOREAN MED SCI
2017 ;32 (8)
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82 | 중부일보 | 분당서울대병원 강유선·이경준 교수팀, 어깨 엑스레이만으로 회전근개 파열 ... | 2020-09-23 |
81 | 메디컬월드뉴스 | 회전근개 파열 예측하는 딥러닝 알고리즘 개발…약 6,800건 어깨 엑스레이 데... | 2020-09-23 |
80 | 예스헬스 | 엑스레이만으로 회전근개 파열 예측하는 인공지능 개발 | 2020-09-22 |
79 | 보건뉴스 | 어깨 엑스레이만으로 회전근개 파열 가능성 예측 | 2020-09-22 |
78 | 국제뉴스 | 분당서울대병원 강유선 이경준 교수 연구팀, 어깨 엑스레이만으로 회전근개 파... | 2020-09-22 |
77 | 메디파나뉴스 | "어깨 엑스레이만으로 회전근개 파열 가능성 예측" | 2020-09-22 |