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Nariya Cho

Showing results (21-30 of 194) with videos related to

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Journal of Breast Cancer|October 4, 2017
Erratum: Imaging Surveillance for Survivors of Breast Cancer: Correlation between Cancer Characteristics and Method of DetectionA Jung Chu, Jung Min Chang, Nariya Cho, et al.
European Radiology|July 2, 2003
Sclerosing lobular hyperplasia: sonographic pathologic correlationNariya Cho, Ki Keun Oh, Kae Young Park, et al.
Radiology|February 19, 2011
Breast mass evaluation: factors influencing the quality of US elastographyJung Min Chang, Woo Kyung Moon, Nariya Cho, et al.
Journal of Breast Cancer|July 7, 2016
Features of Pure Lobular Carcinoma In Situ on Magnetic Resonance Imaging Associated with Immediate Re-Excision after LumpectomyA Jung Chu, Nariya Cho, In-Ae Park, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|March 10, 2012
Computer-aided detection system performance on current and previous digital mammograms in patients with contralateral metachronous breast cancerSeung Ja Kim, Woo Kyung Moon, Nariya Cho, et al.
Korean Journal of Radiology|March 6, 2015
Characterization of breast lesions: comparison of digital breast tomosynthesis and ultrasonographySun Ah Kim, Jung Min Chang, Nariya Cho, et al.
Radiology|June 8, 2021
Interval Cancers after Negative Supplemental Screening Breast MRI Results in Women with a Personal History of Breast CancerGa Ram Kim, Nariya Cho, Soo-Yeon Kim, et al.
Korean Journal of Radiology|July 5, 2023
Prediction of Tumor Progression During Neoadjuvant Chemotherapy and Survival Outcome in Patients With Triple-Negative Breast CancerHeera Yoen, Soo-Yeon Kim, Dae-Won Lee, et al.
European Radiology|May 3, 2014
Computer-aided evaluation as an adjunct to revised BI-RADS Atlas: improvement in positive predictive value at screening breast MRIHye Mi Gweon, Nariya Cho, Mirinae Seo, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|April 19, 2011
Breast cancers initially detected by hand-held ultrasound: detection performance of radiologists using automated breast ultrasound dataJung Min Chang, Woo Kyung Moon, Nariya Cho, et al.
Pageof 20

Showing results (21-30 of 194) with videos related to

Sort By:
Pageof 20
Journal of Breast Cancer|October 4, 2017
Erratum: Imaging Surveillance for Survivors of Breast Cancer: Correlation between Cancer Characteristics and Method of DetectionA Jung Chu, Jung Min Chang, Nariya Cho, et al.
European Radiology|July 2, 2003
Sclerosing lobular hyperplasia: sonographic pathologic correlationNariya Cho, Ki Keun Oh, Kae Young Park, et al.
Radiology|February 19, 2011
Breast mass evaluation: factors influencing the quality of US elastographyJung Min Chang, Woo Kyung Moon, Nariya Cho, et al.
Journal of Breast Cancer|July 7, 2016
Features of Pure Lobular Carcinoma In Situ on Magnetic Resonance Imaging Associated with Immediate Re-Excision after LumpectomyA Jung Chu, Nariya Cho, In-Ae Park, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|March 10, 2012
Computer-aided detection system performance on current and previous digital mammograms in patients with contralateral metachronous breast cancerSeung Ja Kim, Woo Kyung Moon, Nariya Cho, et al.
Korean Journal of Radiology|March 6, 2015
Characterization of breast lesions: comparison of digital breast tomosynthesis and ultrasonographySun Ah Kim, Jung Min Chang, Nariya Cho, et al.
Radiology|June 8, 2021
Interval Cancers after Negative Supplemental Screening Breast MRI Results in Women with a Personal History of Breast CancerGa Ram Kim, Nariya Cho, Soo-Yeon Kim, et al.
Korean Journal of Radiology|July 5, 2023
Prediction of Tumor Progression During Neoadjuvant Chemotherapy and Survival Outcome in Patients With Triple-Negative Breast CancerHeera Yoen, Soo-Yeon Kim, Dae-Won Lee, et al.
European Radiology|May 3, 2014
Computer-aided evaluation as an adjunct to revised BI-RADS Atlas: improvement in positive predictive value at screening breast MRIHye Mi Gweon, Nariya Cho, Mirinae Seo, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|April 19, 2011
Breast cancers initially detected by hand-held ultrasound: detection performance of radiologists using automated breast ultrasound dataJung Min Chang, Woo Kyung Moon, Nariya Cho, et al.
Pageof 20