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박창민 교수

Chang Min Park

서울대학교 · 의학

연구실 소개

박창민 교수의 연구실은 의료 영상 분석 분야에서 인공지능 기반 진단 보조 시스템 개발에 주력하고 있습니다. 특히 흉부 X선 및 CT 영상에서 폐암, 결핵, 기도 종양 등의 질환을 정밀하게 탐지하는 딥러닝 기반 알고리즘의 성능 향상에 초점을 맞추고 있으며, 임상 현장에서의 적용 가능성을 높이기 위해 정확성과 일관성을 확보하는 데 중점을 두고 있습니다. 또한 영상 유전자(라이믹스) 분석을 통해 영상 소견과 생물학적 특성 간의 연관성을 규명하는 연구도 진행 중입니다.

의료영상분석딥러닝폐암진단결핵진단영상유전자

연구 현황

논문 수
363
총 인용 수
13,222
최근 5년 논문
65
주요 분야
의학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
65총합
2022
2023
2024
2025
2026
5개년 연도별 피인용 수
1,123총합
20222023202420252026

주요 논문

15
1
논문|인용수 429·2019
Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs
Eui Jin Hwang, Sunggyun Park, Kwang-Nam Jin, Jung Im Kim, So Young Choi, Jong Hyuk Lee, Jin Mo Goo, Jaehong Aum, Jae‐Joon Yim, Julien G. Cohen, G. Ferretti, Chang Min Park
SJR Q1FWCI 37.2JAMA Network OpenOA

The algorithm consistently outperformed physicians, including thoracic radiologists, in the discrimination of chest radiographs with major thoracic diseases, demonstrating its potential to improve the quality and efficiency of clinical practice.

Radiology, Nuclear Medicine and ImagingMedicine
2
리뷰|인용수 292·2007
Nodular Ground-Glass Opacity at Thin-Section CT: Histologic Correlation and Evaluation of Change at Follow-up
Chang Min Park, Jin Mo Goo, Hyun Ju Lee, Chang Hyun Lee, Eun Ju Chun, Jung-Gi Im
SJR Q1FWCI 8.3Radiographics

The popularization of computed tomography (CT) in clinical practice and the introduction of mass screening for early lung cancer with the use of CT have increased the frequency of findings of subtle nodules or nodular ground-glass opacity. Nodular ground-glass opacity may be observed in malignancies such as bronchioloalveolar carcinoma and adenocarcinoma, as well as in their putative precursors, such as atypical adenomatous hyperplasia. Nodular ground-glass opacity also may be seen in the presen

Pulmonary and Respiratory MedicineMedicine
3
논문|인용수 229·2018
Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs
Eui Jin Hwang, Sunggyun Park, Kwang-Nam Jin, Jung Im Kim, So Young Choi, Jong Hyuk Lee, Jin Mo Goo, Jaehong Aum, Jae‐Joon Yim, Chang Min Park, Deep Learning-Based Automatic Detection Algorithm Development and Evaluation Group, Dong Hyeon Kim
SJR Q1FWCI 14.5Clinical Infectious DiseasesOA

Our DLAD demonstrated excellent and consistent performance in the detection of active pulmonary tuberculosis on CR, outperforming physicians, including thoracic radiologists.

Radiology, Nuclear Medicine and ImagingMedicine
4
논문|인용수 206·2001
Celiac Axis Stenosis: Incidence and Etiologies in Asymptomatic Individuals
Chang Min Park, Jin Wook Chung, Hyun Beom Kim, Sang June Shin, Jae Hyung Park
SJR Q1FWCI 1.8Korean Journal of RadiologyOA

The incidence of hemodynamically significant celiac axis stenosis in this asymptomatic Korean population was 7.3% and the most important etiology was extrinsic compression by the median arcuate ligament of the diaphragm. Atherosclerosis was only a minor cause of the condition.

SurgeryMedicine
5
논문|인용수 166·2009
Tumors in the Tracheobronchial Tree: CT and FDG PET Features
Chang Min Park, Jin Mo Goo, Hyun Ju Lee, Sunghoon Kim, Chang Hyun Lee, Mi‐Jin Kang
SJR Q1FWCI 5.6Radiographics

A variety of tumors, including primary malignant tumors, secondary malignant tumors, and benign tumors, can occur in the tracheobronchial tree. Primary malignant tumors commonly originate from the surface epithelium or the salivary glands, whereas most benign tumors arise from the mesenchymal tissue. At computed tomography (CT), primary malignant tumors manifest as a polypoid lesion, a focal sessile lesion, eccentric narrowing of the airway lumen, or circumferential wall thickening. At fluorine

SurgeryMedicine
6
논문|인용수 146·2016
Impact of Reconstruction Algorithms on CT Radiomic Features of Pulmonary Tumors: Analysis of Intra- and Inter-Reader Variability and Inter-Reconstruction Algorithm Variability
Hyungjin Kim, Chang Min Park, Myunghee Lee, Sang Joon Park, Yong Song, Jong Hyuk Lee, Eui Jin Hwang, Jin Mo Goo
SJR Q1FWCI 11.1PLoS ONEOA

Most of the radiomic features were significantly affected by the reconstruction algorithms. Inter-reconstruction algorithm variability was greater than inter-reader variability for entropy, homogeneity, and GLCM-based features.

Radiology, Nuclear Medicine and ImagingMedicine
7
논문|인용수 91·2015
Prognostic Value of Computed Tomography Texture Features in Non–Small Cell Lung Cancers Treated With Definitive Concomitant Chemoradiotherapy
Su Yeon Ahn, Chang Min Park, Sang Joon Park, Hak Jae Kim, Changhoon Song, Sang Min Lee, H. Page McAdams, Jin Mo Goo
SJR Q1FWCI 8.1Investigative Radiology

Computed tomography texture features have the potential to be used as prognostic biomarkers in unresectable NSCLC patients undergoing definitive CCRT.

Radiology, Nuclear Medicine and ImagingMedicine
8
리뷰|인용수 85·2012
IASLC/ATS/ERS International Multidisciplinary Classification of Lung Adenocarcinoma
Hyun-Ju Lee, Chang Hun Lee, Yeon Joo Jeong, Doo Hyun Chung, Jin Mo Goo, Chang Min Park, John H. M. Austin
SJR Q2FWCI 5.4Journal of Thoracic Imaging

In 2011, the International Association for the Study of Lung Cancer, American Thoracic Society, and European Respiratory Society proposed a new classification for lung adenocarcinoma that included a number of changes to previous classifications. This classification now considers resection specimens, small biopsies, and cytology specimens. Two former histopathologic terms, bronchioloalveolar carcinoma and mixed subtype adenocarcinoma, are no longer to be used. For resection specimens, the new ter

Pulmonary and Respiratory MedicineMedicine
9
논문|인용수 83·2010
Initial experience of percutaneous transthoracic needle biopsy of lung nodules using C-arm cone-beam CT systems
Kwang Nam Jin, Chang Min Park, Jin Mo Goo, Hyun Ju Lee, Youkyung Lee, Jung Im Kim, So Young Choi, Hyo‐Cheol Kim
SJR Q1FWCI 5.1European Radiology
Pulmonary and Respiratory MedicineMedicine
10
논문|인용수 73·2015
Persistent Pure Ground-Glass Nodules Larger Than 5 mm
Inpyeong Hwang, Chang Min Park, Sang Joon Park, Sang Min Lee, H. Page McAdams, Yoon Kyung Jeon, Jin Mo Goo
SJR Q1FWCI 5.5Investigative Radiology

Computed tomography texture features such as higher entropy and lower homogeneity were significant differentiating factors of IPAs presenting as PGGNs larger than 5 mm and have potentials to enhance the differentiating performance.

Pulmonary and Respiratory MedicineMedicine
11
논문|인용수 69·2006
CT Findings of Atypical Adenomatous Hyperplasia in the Lung
Chang Min Park, Jin Mo Goo, Hyun Ju Lee, Chang Hyun Lee, Hyo‐Cheol Kim, Doo Hyun Chung, Jung‐Gi Im
SJR Q1FWCI 3.8Korean Journal of RadiologyOA

Atypical adenomatous hyperplasia is often associated with malignancy. This tumor is shown on CT as persistent well-defined oval or round nodular GGOs without solid components, and it does not change on the follow-up CT.

Pulmonary and Respiratory MedicineMedicine
12
논문|인용수 65·2008
Pulmonary Nodular Ground-Glass Opacities in Patients With Extrapulmonary Cancers
Chang Min Park, Jin Mo Goo, Tae Jung Kim, Hyun Ju Lee, Kyung Won Lee, Chang Hyun Lee, Young Tae Kim, Kwang Gi Kim, Ho Yun Lee, Eun‐Ah Park, Jung‐Gi Im
SJR Q1FWCI 3.8CHEST JournalOA
Pulmonary and Respiratory MedicineMedicine
13
논문|인용수 48·2010
Persistent Pure Ground-Glass Nodules in the Lung: Interscan Variability of Semiautomated Volume and Attenuation Measurements
Chang Min Park, Jin Mo Goo, Hyun Ju Lee, Kwang Gi Kim, Mi‐Jin Kang, Yong Hwan Shin
SJR Q1FWCI 3.8American Journal of Roentgenology

Variations in volume and attenuation measurements of persistent pure ground-glass nodules using commercial software were reasonably small, allowing the detection of clinically relevant growth.

Pulmonary and Respiratory MedicineMedicine
14
논문|인용수 48·2020
Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals
Jong Hyuk Lee, Sunggyun Park, Eui Jin Hwang, Jin Mo Goo, Woo Young Lee, Sang-Ho Lee, Hyungjin Kim, Jason R. Andrews, Chang Min Park
SJR Q1FWCI 3.1European RadiologyOA
Radiology, Nuclear Medicine and ImagingMedicine
15
논문|인용수 47·2014
Usefulness of Texture Analysis in Differentiating Transient from Persistent Part-solid Nodules(PSNs): A Retrospective Study
Sang Hwan Lee, Sang Min Lee, Jin Mo Goo, Kwang Gi Kim, Young Jae Kim, Chang Min Park
SJR Q1FWCI 3.6PLoS ONEOA

Texture analysis of PSNs in addition to clinical and CT features analysis has the potential to improve the differentiation of transient from persistent PSNs.

Pulmonary and Respiratory MedicineMedicine

대표 연구 분야

Pulmonary and Respiratory MedicineRadiology, Nuclear Medicine and ImagingSurgeryOncologyInfectious DiseasesHealth Informatics

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