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Radiology
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April 21, 2012
In vivo assessment of ductal carcinoma in situ grade: a model incorporating dynamic contrast-enhanced and diffusion-weighted breast MR imaging parameters
Habib Rahbar, Savannah C Partridge, Wendy B Demartini, et al.
Journal of the American College of Radiology : JACR
|
August 31, 2020
Risk for Upgrade to Malignancy After Breast Core Needle Biopsy Diagnosis of Lobular Neoplasia: A Systematic Review and Meta-Analysis
Mariam N Shehata, Habib Rahbar, Meghan R Flanagan, et al.
Academic Radiology
|
April 21, 2020
Breast Cancer Conspicuity on Computed Versus Acquired High b-Value Diffusion-Weighted MRI
Michaela R DelPriore, Debosmita Biswas, Daniel S Hippe, et al.
Radiology. Imaging Cancer
|
January 14, 2022
Accelerated Breast Diffusion-weighted Imaging Using Multiband Sensitivity Encoding with the CAIPIRINHA Method: Clinical Experience at 3 T
Debosmita Biswas, Daniel S Hippe, Yi Wang, et al.
Radiology. Imaging Cancer
|
August 18, 2020
The Value of Patient and Tumor Factors in Predicting Preoperative Breast MRI Outcomes
Habib Rahbar, Daniel S Hippe, Ahmed Alaa, et al.
Arxiv
|
November 26, 2025
Validation of Fully-Automated Deep Learning-Based Fibroglandular Tissue Segmentation for Efficient and Reliable Quantitation of Background Parenchymal Enhancement in Breast MRI
Yu-Tzu Kuo, Anum S Kazerouni, Vivian Y Park, et al.
Clinical Imaging
|
September 15, 2015
Can MRI biomarkers at 3 T identify low-risk ductal carcinoma in situ?
Habib Rahbar, Sana Parsian, Diana L Lam, et al.
AJR. American Journal of Roentgenology
|
April 25, 2014
Diffusion-weighted MRI: association between patient characteristics and apparent diffusion coefficients of normal breast fibroglandular tissue at 3 T
Elizabeth S McDonald, Jennifer G Schopp, Sue Peacock, et al.
Radiology
|
May 13, 2015
Are Qualitative Assessments of Background Parenchymal Enhancement, Amount of Fibroglandular Tissue on MR Images, and Mammographic Density Associated with Breast Cancer Risk?
Brian N Dontchos, Habib Rahbar, Savannah C Partridge, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
April 21, 2019
Background parenchymal enhancement on breast MRI: A comprehensive review
Geraldine J Liao, Leah C Henze Bancroft, Roberta M Strigel, et al.
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of 11
Search research articles
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Showing results (61-70 of 106) with videos related to
Sort By:
Page
of 11
Radiology
|
April 21, 2012
In vivo assessment of ductal carcinoma in situ grade: a model incorporating dynamic contrast-enhanced and diffusion-weighted breast MR imaging parameters
Habib Rahbar, Savannah C Partridge, Wendy B Demartini, et al.
Journal of the American College of Radiology : JACR
|
August 31, 2020
Risk for Upgrade to Malignancy After Breast Core Needle Biopsy Diagnosis of Lobular Neoplasia: A Systematic Review and Meta-Analysis
Mariam N Shehata, Habib Rahbar, Meghan R Flanagan, et al.
Academic Radiology
|
April 21, 2020
Breast Cancer Conspicuity on Computed Versus Acquired High b-Value Diffusion-Weighted MRI
Michaela R DelPriore, Debosmita Biswas, Daniel S Hippe, et al.
Radiology. Imaging Cancer
|
January 14, 2022
Accelerated Breast Diffusion-weighted Imaging Using Multiband Sensitivity Encoding with the CAIPIRINHA Method: Clinical Experience at 3 T
Debosmita Biswas, Daniel S Hippe, Yi Wang, et al.
Radiology. Imaging Cancer
|
August 18, 2020
The Value of Patient and Tumor Factors in Predicting Preoperative Breast MRI Outcomes
Habib Rahbar, Daniel S Hippe, Ahmed Alaa, et al.
Arxiv
|
November 26, 2025
Validation of Fully-Automated Deep Learning-Based Fibroglandular Tissue Segmentation for Efficient and Reliable Quantitation of Background Parenchymal Enhancement in Breast MRI
Yu-Tzu Kuo, Anum S Kazerouni, Vivian Y Park, et al.
Clinical Imaging
|
September 15, 2015
Can MRI biomarkers at 3 T identify low-risk ductal carcinoma in situ?
Habib Rahbar, Sana Parsian, Diana L Lam, et al.
AJR. American Journal of Roentgenology
|
April 25, 2014
Diffusion-weighted MRI: association between patient characteristics and apparent diffusion coefficients of normal breast fibroglandular tissue at 3 T
Elizabeth S McDonald, Jennifer G Schopp, Sue Peacock, et al.
Radiology
|
May 13, 2015
Are Qualitative Assessments of Background Parenchymal Enhancement, Amount of Fibroglandular Tissue on MR Images, and Mammographic Density Associated with Breast Cancer Risk?
Brian N Dontchos, Habib Rahbar, Savannah C Partridge, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
April 21, 2019
Background parenchymal enhancement on breast MRI: A comprehensive review
Geraldine J Liao, Leah C Henze Bancroft, Roberta M Strigel, et al.
Page
of 11