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Clinical Laboratory
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February 10, 2022
Next Generation Sequencing is a Reliable Tool for Detecting BRCA1/2 Mutations, Including Large Genomic Rearrangements
Jae Hee Lee, Nam-Hee Ryoo, Jung-Sook Ha, et al.
International Journal of Environmental Research and Public Health
|
June 2, 2021
Pregnancy Outcome, Antibodies, and Placental Pathology in SARS-CoV-2 Infection during Early Pregnancy
Won-Kyu Jang, Su-Yeon Lee, Sunggyun Park, et al.
Radiology
|
September 22, 2020
Performance of a Deep Learning Algorithm Compared with Radiologic Interpretation for Lung Cancer Detection on Chest Radiographs in a Health Screening Population
Jong Hyuk Lee, Hye Young Sun, Sunggyun Park, et al.
Clinical and Experimental Pediatrics
|
October 14, 2021
Viral load and rebound in children with coronavirus disease 2019 during the first outbreak in Daegu city
Mi Ae Chu, Yoon Young Jang, Dong Won Lee, et al.
Transboundary and Emerging Diseases
|
September 26, 2020
COVID-19: Comparing the applicability of shared room and single room occupancy
Miri Hyun, Ji Yeon Lee, Yong Shik Kwon, et al.
Plos One
|
January 20, 2022
Serological evaluation of patients with coronavirus disease-2019 in Daegu, South Korea
Sunggyun Park, Soon Hee Chang, Jae Hee Lee, et al.
European Radiology
|
August 29, 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, et al.
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America
|
November 13, 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, et al.
Radiology
|
September 26, 2018
Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs
Ju Gang Nam, Sunggyun Park, Eui Jin Hwang, et al.
Annals of Laboratory Medicine
|
August 10, 2021
Comprehensive Laboratory Data Analysis to Predict the Clinical Severity of Coronavirus Disease 2019 in 1,952 Patients in Daegu, Korea
Eun-Hyung Yoo, Soon Hee Chang, Do-Young Song, et al.
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of 3
Search research articles
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Showing results (11-20 of 25) with videos related to
Sort By:
Page
of 3
Clinical Laboratory
|
February 10, 2022
Next Generation Sequencing is a Reliable Tool for Detecting BRCA1/2 Mutations, Including Large Genomic Rearrangements
Jae Hee Lee, Nam-Hee Ryoo, Jung-Sook Ha, et al.
International Journal of Environmental Research and Public Health
|
June 2, 2021
Pregnancy Outcome, Antibodies, and Placental Pathology in SARS-CoV-2 Infection during Early Pregnancy
Won-Kyu Jang, Su-Yeon Lee, Sunggyun Park, et al.
Radiology
|
September 22, 2020
Performance of a Deep Learning Algorithm Compared with Radiologic Interpretation for Lung Cancer Detection on Chest Radiographs in a Health Screening Population
Jong Hyuk Lee, Hye Young Sun, Sunggyun Park, et al.
Clinical and Experimental Pediatrics
|
October 14, 2021
Viral load and rebound in children with coronavirus disease 2019 during the first outbreak in Daegu city
Mi Ae Chu, Yoon Young Jang, Dong Won Lee, et al.
Transboundary and Emerging Diseases
|
September 26, 2020
COVID-19: Comparing the applicability of shared room and single room occupancy
Miri Hyun, Ji Yeon Lee, Yong Shik Kwon, et al.
Plos One
|
January 20, 2022
Serological evaluation of patients with coronavirus disease-2019 in Daegu, South Korea
Sunggyun Park, Soon Hee Chang, Jae Hee Lee, et al.
European Radiology
|
August 29, 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, et al.
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America
|
November 13, 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, et al.
Radiology
|
September 26, 2018
Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs
Ju Gang Nam, Sunggyun Park, Eui Jin Hwang, et al.
Annals of Laboratory Medicine
|
August 10, 2021
Comprehensive Laboratory Data Analysis to Predict the Clinical Severity of Coronavirus Disease 2019 in 1,952 Patients in Daegu, Korea
Eun-Hyung Yoo, Soon Hee Chang, Do-Young Song, et al.
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of 3