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다양하고 유익한 건강상식을 제공해 드립니다.
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
Hwayoung Song, Sung Hyun Yoon, Junghoon Kim, Jihang Kim, Kyoung Won Lee, Woojoo Lee, Seungjae Lee, Kwhanmien Kim, Choon-Taek Lee, Jin-Haeng Chung, Kyung Hee Lee
Application of N Descriptors Proposed by the International Association for the Study of Lung Cancer in Clinical Staging.
Radiology
2021 ;300 (2) :450 -457
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)
Sowon Jang, Hwayoung Song, Yoon Joo Shin, Junghoon Kim, Jihang Kim, Kyung Won Lee, Sung Soo Lee, Woojoo Lee, Seungjae Lee, Kyung Hee Lee
Deep Learning-based Automatic Detection Algorithm for Reducing Overlooked Lung Cancers on Chest Radiographs.
Radiology
2020 ;296 (3) :652 -661
Junghoon Kim, Kyung Hee Lee, Jun Yeun Cho, Jihang Kim, Yoon Joo Shin, Kyung Won Lee
Usefulness of CT-Guided Percutaneous Transthoracic Needle Lung Biopsies in Patients with Suspected Pulmonary Infection.
Korean J Radiol
2020 ;21 (5) :526 -536
Hwang Eui Jin, Paek MunYoung, Yoon Soon Ho, Kim Jihang, Lee Ho Yun, Goo Jin Mo, Kim Hyungjin, Kim Heekyung, Ackman Jeanne B
Quantitative Thoracic Magnetic Resonance Criteria for the Differentiation of Cysts from Solid Masses in the Anterior Mediastinum
KOREAN J RADIOL
2019 ;20 (5) :854 -861
Kim Hyungjin, Yoon Soon Ho, Kim Jihang, Lee Kyung Won, Choi Ye Ra, Cho Hyoun, Goo Jin Mo
Growth of thymic epithelial tumors and thymic cysts: Differential radiological points
THORAC CANCER
2019 ;10 (4) :864 -871
Kim Jihang, Lee Kyung Hee, Kim Junghoon, Shin Yoon Joo, Lee Kyung Won
Improved repeatability of subsolid nodule measurement in low-dose lung screening with monoenergetic images: a phantom study
QUANT IMAG MED SURG
2019 ;9 (2) :171 -179
Lee Kyung Hee, Lee Kyung Won, Park Ji Hoon, Han Kyunghwa, Kim Jihang, Lee Sang Min, Park Chang Min
Nodule Classification on Low-Dose Unenhanced CT and Standard-Dose Enhanced CT: Inter-Protocol Agreement and Analysis of Interchangeability
KOREAN J RADIOL
2018 ;19 (3) :516 -525
Ahn Hyungwoo, Lee Kyung Hee, Kim Jihang, Kim Jeongjae, Kim Junghoon, Lee Kyung Won
Diameter of the Solid Component in Subsolid Nodules on Low-Dose Unenhanced Chest Computed Tomography: Measurement Accuracy for the Prediction of Invasive Component in Lung Adenocarcinoma
KOREAN J RADIOL
2018 ;19 (3) :508 -515
Lee Kyung Hee, Park Ji Hoon, Kim Young Hoon, Lee Kyung Won, Kim Jin Won, Oh Heung-Kwon, Jeon Jong-June, Yoon Hyuk, Kim Jihang, Lee Kyoung Ho
Diagnostic Yield and False-Referral Rate of Staging Chest CT in Patients with Colon Cancer
RADIOLOGY
2018 ;289 (2) :535 -545
Ahn Hyungwoo, Lee Kyung Won, Lee Kyung Hee, Kim Jihang, Kim Kwhanmien, Chung Jin-Haeng, Lee Choon-Taek
Effect of computed tomography window settings and reconstruction plane on 8th edition T-stage classification in patients with lung adenocarcinoma manifesting as a subsolid nodule
EUR J RADIOL
2018 ;98 :130 -135
Limited detection of small (≤ 10 mm) colorectal liver metastasis at preoperative CT in patients undergoing liver resection
PLOS ONE
2017 ;12 (12)
Computer-aided detection of brain metastasis on 3D MR imaging: Observer performance study
PLOS ONE
2017 ;12 (6)
Fluoroscopy-guided radiofrequency ablation for small hepatocellular carcinoma: a retrospective comparison with ultrasound-guided ablation
CLIN RADIOL
2015 ;70 (9) :1009 -1015
Prevalence of Imaging Features on CT Thought to Be Associated With Femoroacetabular Impingement: A Retrospective Analysis of 473 Asymptomatic Adult Hip Joints
AM J ROENTGENOL
2015 ;205 (1) :W100 -W105
Diagnostic Performance of CT Angiography in Patients Visiting Emergency Department with Overt Gastrointestinal Bleeding
KOREAN J RADIOL
2015 ;16 (3) :541 -549
번호 | 매체명 | 제목 | 발간일 |
---|---|---|---|
22 | 기호일보 | 분당서울대병원, 흉부 X선 비교 병변 변화 검출 '딥러닝' 개발 성공 | 2020-03-15 |
21 | 서울신문 | 흉부 X선 영상에서 병변 변화 검출하는 딥러닝 기법 개발 | 2020-03-14 |
20 | 더퍼스트미디어 | 분당서울대병원 교수 연구팀, 흉부 X선 영상에서 병변 변화 검출하는 '딥러닝... | 2020-03-13 |
19 | 메디컬월드뉴스 | 흉부 X선 영상 병변 변화 검출 딥러닝 기법 개발…1차적 진단도구 활용 기대 | 2020-03-13 |
18 | 뉴스핌 | 흉부 X선 영상 비교해 병변번화 검출하는 딥러닝 기법 개발 | 2020-03-12 |
17 | 전자신문 | 분당서울대병원, 흉부 X선 영상 병변 변화 검출하는 딥러닝 기법 개발 | 2020-03-12 |
16 | 약업신문 | 흉부 X선 영상서 병변 변화 검출-딥러닝 기법 개발 | 2020-03-12 |
15 | 한국스포츠경제 | 국내 연구진, 흉부X선 영상…병변변화 검출 ‘딥러닝’ 기법 개발 | 2020-03-12 |
14 | 메디파나뉴스 | 분당서울대병원, 흉부X선 병변 변화 검출하는 딥러닝 개발 | 2020-03-12 |
13 | 메디칼트리뷴 | X레이만로도 병변 변화 확인 | 2020-03-12 |