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Plos One
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June 20, 2017
Ultrasound-guided cable-free 13-gauge vacuum-assisted biopsy of non-mass breast lesions
Jiwoon Seo, Sun Mi Kim, Mijung Jang, et al.
JACC. Cardiovascular Imaging
|
August 20, 2018
Prediction of Subclinical Coronary Artery Disease With Breast Arterial Calcification and Low Bone Mass in Asymptomatic Women: Registry for the Women Health Cohort for the BBC Study
Yeonyee E Yoon, Kyoung Min Kim, Jong Soo Han, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine
|
April 26, 2015
Does adding diffuse optical tomography to sonography improve differentiation between benign and malignant breast lesions? Observer performance study
Bo La Yun, Sun Mi Kim, Mijung Jang, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
April 27, 2019
Additive value of diffusion-weighted MRI in the I-SPY 2 TRIAL
Wen Li, David C Newitt, Lisa J Wilmes, et al.
Korean Journal of Radiology
|
May 21, 2014
A new full-field digital mammography system with and without the use of an advanced post-processing algorithm: comparison of image quality and diagnostic performance
Hye Shin Ahn, Sun Mi Kim, Mijung Jang, et al.
Radiology
|
January 30, 2014
Breast cancer detected with screening US: reasons for nondetection at mammography
Min Sun Bae, Woo Kyung Moon, Jung Min Chang, et al.
Cancer Research and Treatment
|
November 18, 2021
Effect of Estrogen Receptor Expression Level and Hormonal Therapy on Prognosis of Early Breast Cancer
Kyung-Hwak Yoon, Yeshong Park, Eunyoung Kang, et al.
Radiology
|
May 10, 2022
Microcalcifications and Peritumoral Edema Predict Survival Outcome in Luminal Breast Cancer Treated with Neoadjuvant Chemotherapy
Bo Ra Kwon, Sung Ui Shin, Soo-Yeon Kim, et al.
Tomography (Ann Arbor, Mich.)
|
June 18, 2020
Tumor Sphericity Predicts Response in Neoadjuvant Chemotherapy for Invasive Breast Cancer
Wen Li, David C Newitt, Bo La Yun, et al.
Journal of Breast Cancer
|
June 5, 2023
Development and External Validation of a Machine Learning Model to Predict Pathological Complete Response After Neoadjuvant Chemotherapy in Breast Cancer
Ji-Jung Jung, Eun-Kyu Kim, Eunyoung Kang, et al.
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of 7
Search research articles
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Showing results (51-60 of 64) with videos related to
Sort By:
Page
of 7
Plos One
|
June 20, 2017
Ultrasound-guided cable-free 13-gauge vacuum-assisted biopsy of non-mass breast lesions
Jiwoon Seo, Sun Mi Kim, Mijung Jang, et al.
JACC. Cardiovascular Imaging
|
August 20, 2018
Prediction of Subclinical Coronary Artery Disease With Breast Arterial Calcification and Low Bone Mass in Asymptomatic Women: Registry for the Women Health Cohort for the BBC Study
Yeonyee E Yoon, Kyoung Min Kim, Jong Soo Han, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine
|
April 26, 2015
Does adding diffuse optical tomography to sonography improve differentiation between benign and malignant breast lesions? Observer performance study
Bo La Yun, Sun Mi Kim, Mijung Jang, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
April 27, 2019
Additive value of diffusion-weighted MRI in the I-SPY 2 TRIAL
Wen Li, David C Newitt, Lisa J Wilmes, et al.
Korean Journal of Radiology
|
May 21, 2014
A new full-field digital mammography system with and without the use of an advanced post-processing algorithm: comparison of image quality and diagnostic performance
Hye Shin Ahn, Sun Mi Kim, Mijung Jang, et al.
Radiology
|
January 30, 2014
Breast cancer detected with screening US: reasons for nondetection at mammography
Min Sun Bae, Woo Kyung Moon, Jung Min Chang, et al.
Cancer Research and Treatment
|
November 18, 2021
Effect of Estrogen Receptor Expression Level and Hormonal Therapy on Prognosis of Early Breast Cancer
Kyung-Hwak Yoon, Yeshong Park, Eunyoung Kang, et al.
Radiology
|
May 10, 2022
Microcalcifications and Peritumoral Edema Predict Survival Outcome in Luminal Breast Cancer Treated with Neoadjuvant Chemotherapy
Bo Ra Kwon, Sung Ui Shin, Soo-Yeon Kim, et al.
Tomography (Ann Arbor, Mich.)
|
June 18, 2020
Tumor Sphericity Predicts Response in Neoadjuvant Chemotherapy for Invasive Breast Cancer
Wen Li, David C Newitt, Bo La Yun, et al.
Journal of Breast Cancer
|
June 5, 2023
Development and External Validation of a Machine Learning Model to Predict Pathological Complete Response After Neoadjuvant Chemotherapy in Breast Cancer
Ji-Jung Jung, Eun-Kyu Kim, Eunyoung Kang, et al.
Page
of 7