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Jin Mo Goo

Showing results (31-40 of 389) with videos related to

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Radiology|February 25, 2025
AI Applications for Thoracic Imaging: Considerations for Best PracticeEui Jin Hwang, Jin Mo Goo, Chang Min Park
Radiology. Cardiothoracic Imaging|March 26, 2026
Prognostic Interaction between Emphysema and Interstitial Lung Abnormalities for Mortality in a Korean National Lung Cancer Screening CohortHyungjin Kim, Eunseo Jo, Jinseob Kim, et al.
European Radiology|November 26, 2020
External validation and comparison of the Brock model and Lung-RADS for the baseline lung cancer CT screening using data from the Korean Lung Cancer Screening ProjectHyungjin Kim, Hyae Young Kim, Jin Mo Goo, et al.
Radiology|April 15, 2020
Lung Cancer CT Screening and Lung-RADS in a Tuberculosis-endemic Country: The Korean Lung Cancer Screening Project (K-LUCAS)Hyungjin Kim, Hyae Young Kim, Jin Mo Goo, et al.
AJR. American Journal of Roentgenology|August 4, 2021
The Global Reading Room: A Likely Infectious Abnormality on Lung Cancer Screening CTCarole Dennie, Debra Dyer, Jin Mo Goo, et al.
European Radiology|April 25, 2019
Clinical T categorization in stage IA lung adenocarcinomas: prognostic implications of CT display window settings for solid portion measurementHyungjin Kim, Jin Mo Goo, Young Tae Kim, et al.
Lung Cancer (Amsterdam, Netherlands)|October 1, 2019
Consolidation-to-tumor ratio and tumor disappearance ratio are not independent prognostic factors for the patients with resected lung adenocarcinomasHyungjin Kim, Jin Mo Goo, Young Tae Kim, et al.
Investigative Radiology|May 23, 2008
Innovation in chest radiologyJin Mo Goo, Hans-Ulrich Kauczor, Edwin J R van Beek
Radiology|April 16, 2024
Clinical Utility of a CT-based AI Prognostic Model for Segmentectomy in Non-Small Cell Lung CancerKwon Joong Na, Young Tae Kim, Jin Mo Goo, et al.
European Radiology|December 12, 2023
Value of CT quantification in progressive fibrosing interstitial lung disease: a deep learning approachSeok Young Koh, Jong Hyuk Lee, Hyungin Park, et al.
Pageof 39

Showing results (31-40 of 389) with videos related to

Sort By:
Pageof 39
Radiology|February 25, 2025
AI Applications for Thoracic Imaging: Considerations for Best PracticeEui Jin Hwang, Jin Mo Goo, Chang Min Park
Radiology. Cardiothoracic Imaging|March 26, 2026
Prognostic Interaction between Emphysema and Interstitial Lung Abnormalities for Mortality in a Korean National Lung Cancer Screening CohortHyungjin Kim, Eunseo Jo, Jinseob Kim, et al.
European Radiology|November 26, 2020
External validation and comparison of the Brock model and Lung-RADS for the baseline lung cancer CT screening using data from the Korean Lung Cancer Screening ProjectHyungjin Kim, Hyae Young Kim, Jin Mo Goo, et al.
Radiology|April 15, 2020
Lung Cancer CT Screening and Lung-RADS in a Tuberculosis-endemic Country: The Korean Lung Cancer Screening Project (K-LUCAS)Hyungjin Kim, Hyae Young Kim, Jin Mo Goo, et al.
AJR. American Journal of Roentgenology|August 4, 2021
The Global Reading Room: A Likely Infectious Abnormality on Lung Cancer Screening CTCarole Dennie, Debra Dyer, Jin Mo Goo, et al.
European Radiology|April 25, 2019
Clinical T categorization in stage IA lung adenocarcinomas: prognostic implications of CT display window settings for solid portion measurementHyungjin Kim, Jin Mo Goo, Young Tae Kim, et al.
Lung Cancer (Amsterdam, Netherlands)|October 1, 2019
Consolidation-to-tumor ratio and tumor disappearance ratio are not independent prognostic factors for the patients with resected lung adenocarcinomasHyungjin Kim, Jin Mo Goo, Young Tae Kim, et al.
Investigative Radiology|May 23, 2008
Innovation in chest radiologyJin Mo Goo, Hans-Ulrich Kauczor, Edwin J R van Beek
Radiology|April 16, 2024
Clinical Utility of a CT-based AI Prognostic Model for Segmentectomy in Non-Small Cell Lung CancerKwon Joong Na, Young Tae Kim, Jin Mo Goo, et al.
European Radiology|December 12, 2023
Value of CT quantification in progressive fibrosing interstitial lung disease: a deep learning approachSeok Young Koh, Jong Hyuk Lee, Hyungin Park, et al.
Pageof 39