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Radiographics : a Review Publication of the Radiological Society of North America, Inc
|
September 29, 2018
American Joint Committee on Cancer's Staging System for Breast Cancer, Eighth Edition: What the Radiologist Needs to Know
Sirishma Kalli, Alan Semine, Sara Cohen, et al.
Clinical Imaging
|
December 6, 2021
Contralateral breast cancer after curative-intent treatment for ductal carcinoma in situ: Rate and associated clinicopathological and imaging risk factors
Keegan Hovis, Sarah Mercaldo, Geunwon Kim, et al.
Clinical Imaging
|
October 18, 2022
Predicting ipsilateral recurrence in women treated for ductal carcinoma in situ using machine learning and multivariable logistic regression models
Leslie R Lamb, Sarah Mercaldo, Geunwon Kim, et al.
Radiology
|
October 18, 2017
High-Risk Breast Lesions: A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision
Manisha Bahl, Regina Barzilay, Adam B Yedidia, et al.
Radiology
|
October 17, 2018
Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation
Constance D Lehman, Adam Yala, Tal Schuster, et al.
Annals of Surgical Oncology
|
May 18, 2020
Do Eligibility Criteria for Ductal Carcinoma In Situ (DCIS) Active Surveillance Trials Identify Patients at Low Risk for Upgrade to Invasive Carcinoma?
Tawakalitu O Oseni, Barbara L Smith, Constance D Lehman, et al.
Radiology
|
April 8, 2020
Breast Cancer Screening with Digital Breast Tomosynthesis: Are Initial Benefits Sustained?
Manisha Bahl, Sarah Mercaldo, Pragya A Dang, et al.
AJR. American Journal of Roentgenology
|
September 18, 2024
ChatGPT and Large Language Models in Radiology: Perspectives From the Field
Manisha Bahl, Patricia Balthazar, Melissa A Davis, et al.
Journal of the American College of Radiology : JACR
|
July 25, 2020
The Adoption and Impact on Performance of an Automated Outcomes Feedback Application for Tomosynthesis Screening Mammography
Dorothy A Sippo, Amy M Sullivan, Amy Cohen, et al.
Radiology
|
December 23, 2017
Breast Cancer Characteristics Associated with 2D Digital Mammography versus Digital Breast Tomosynthesis for Screening-detected and Interval Cancers
Manisha Bahl, Shannon Gaffney, Anne Marie McCarthy, et al.
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of 12
Search research articles
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Showing results (81-90 of 114) with videos related to
Sort By:
Page
of 12
Radiographics : a Review Publication of the Radiological Society of North America, Inc
|
September 29, 2018
American Joint Committee on Cancer's Staging System for Breast Cancer, Eighth Edition: What the Radiologist Needs to Know
Sirishma Kalli, Alan Semine, Sara Cohen, et al.
Clinical Imaging
|
December 6, 2021
Contralateral breast cancer after curative-intent treatment for ductal carcinoma in situ: Rate and associated clinicopathological and imaging risk factors
Keegan Hovis, Sarah Mercaldo, Geunwon Kim, et al.
Clinical Imaging
|
October 18, 2022
Predicting ipsilateral recurrence in women treated for ductal carcinoma in situ using machine learning and multivariable logistic regression models
Leslie R Lamb, Sarah Mercaldo, Geunwon Kim, et al.
Radiology
|
October 18, 2017
High-Risk Breast Lesions: A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision
Manisha Bahl, Regina Barzilay, Adam B Yedidia, et al.
Radiology
|
October 17, 2018
Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation
Constance D Lehman, Adam Yala, Tal Schuster, et al.
Annals of Surgical Oncology
|
May 18, 2020
Do Eligibility Criteria for Ductal Carcinoma In Situ (DCIS) Active Surveillance Trials Identify Patients at Low Risk for Upgrade to Invasive Carcinoma?
Tawakalitu O Oseni, Barbara L Smith, Constance D Lehman, et al.
Radiology
|
April 8, 2020
Breast Cancer Screening with Digital Breast Tomosynthesis: Are Initial Benefits Sustained?
Manisha Bahl, Sarah Mercaldo, Pragya A Dang, et al.
AJR. American Journal of Roentgenology
|
September 18, 2024
ChatGPT and Large Language Models in Radiology: Perspectives From the Field
Manisha Bahl, Patricia Balthazar, Melissa A Davis, et al.
Journal of the American College of Radiology : JACR
|
July 25, 2020
The Adoption and Impact on Performance of an Automated Outcomes Feedback Application for Tomosynthesis Screening Mammography
Dorothy A Sippo, Amy M Sullivan, Amy Cohen, et al.
Radiology
|
December 23, 2017
Breast Cancer Characteristics Associated with 2D Digital Mammography versus Digital Breast Tomosynthesis for Screening-detected and Interval Cancers
Manisha Bahl, Shannon Gaffney, Anne Marie McCarthy, et al.
Page
of 12