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Radiologic Clinics of North America
|
February 21, 2016
Imaging in Lung Transplantation: Surgical Considerations of Donor and Recipient
Leah M Backhus, Michael S Mulligan, Richard Ha, et al.
Computers in Biology and Medicine
|
July 14, 2020
Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification
Michael Liu, Rami Vanguri, Simukayi Mutasa, et al.
Academic Radiology
|
June 10, 2021
Weakly Supervised Deep Learning Approach to Breast MRI Assessment
Michael Z Liu, Cara Swintelski, Shawn Sun, et al.
Journal of the American College of Radiology : JACR
|
May 11, 2016
RAD-AID Asha Jyoti Mammogram Quality Assessment in India: Optimizing Mobile Radiology
Victoria L Mango, Richard Ha, Bianca Nguyen, et al.
Current Problems in Diagnostic Radiology
|
February 7, 2018
In the Setting of Negative Mammogram, Is Additional Breast Ultrasound Necessary for Evaluation of Breast Pain?
Eralda Mema, Emma Cho, Yun-Kyoung Ryu, et al.
Advances in Radiation Oncology
|
April 24, 2019
A Single-Institution Experience in the Preoperative Selection of DCIS Patients for IORT using the ASTRO Consensus Guidelines
Christine Chin, Sitara Hirji, Maika Onishi, et al.
Breast Cancer Research and Treatment
|
January 11, 2022
The progesterone-receptor modulator, ulipristal acetate, drastically lowers breast cell proliferation
Carolyn L Westhoff, Hua Guo, Zhong Wang, et al.
Current Problems in Diagnostic Radiology
|
April 4, 2016
Three-Dimensional Quantitative Validation of Breast Magnetic Resonance Imaging Background Parenchymal Enhancement Assessments
Richard Ha, Eralda Mema, Xiaotao Guo, et al.
Clinical Imaging
|
June 27, 2018
Evaluation of association between degree of background parenchymal enhancement on MRI and breast cancer subtype
Richard Ha, Victoria Mango, Rend Al-Khalili, et al.
Quantitative Imaging in Medicine and Surgery
|
May 19, 2016
Quantitative 3D breast magnetic resonance imaging fibroglandular tissue analysis and correlation with qualitative assessments: a feasibility study
Richard Ha, Eralda Mema, Xiaotao Guo, et al.
Page
of 10
Search research articles
Search
Showing results (51-60 of 99) with videos related to
Sort By:
Page
of 10
Radiologic Clinics of North America
|
February 21, 2016
Imaging in Lung Transplantation: Surgical Considerations of Donor and Recipient
Leah M Backhus, Michael S Mulligan, Richard Ha, et al.
Computers in Biology and Medicine
|
July 14, 2020
Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification
Michael Liu, Rami Vanguri, Simukayi Mutasa, et al.
Academic Radiology
|
June 10, 2021
Weakly Supervised Deep Learning Approach to Breast MRI Assessment
Michael Z Liu, Cara Swintelski, Shawn Sun, et al.
Journal of the American College of Radiology : JACR
|
May 11, 2016
RAD-AID Asha Jyoti Mammogram Quality Assessment in India: Optimizing Mobile Radiology
Victoria L Mango, Richard Ha, Bianca Nguyen, et al.
Current Problems in Diagnostic Radiology
|
February 7, 2018
In the Setting of Negative Mammogram, Is Additional Breast Ultrasound Necessary for Evaluation of Breast Pain?
Eralda Mema, Emma Cho, Yun-Kyoung Ryu, et al.
Advances in Radiation Oncology
|
April 24, 2019
A Single-Institution Experience in the Preoperative Selection of DCIS Patients for IORT using the ASTRO Consensus Guidelines
Christine Chin, Sitara Hirji, Maika Onishi, et al.
Breast Cancer Research and Treatment
|
January 11, 2022
The progesterone-receptor modulator, ulipristal acetate, drastically lowers breast cell proliferation
Carolyn L Westhoff, Hua Guo, Zhong Wang, et al.
Current Problems in Diagnostic Radiology
|
April 4, 2016
Three-Dimensional Quantitative Validation of Breast Magnetic Resonance Imaging Background Parenchymal Enhancement Assessments
Richard Ha, Eralda Mema, Xiaotao Guo, et al.
Clinical Imaging
|
June 27, 2018
Evaluation of association between degree of background parenchymal enhancement on MRI and breast cancer subtype
Richard Ha, Victoria Mango, Rend Al-Khalili, et al.
Quantitative Imaging in Medicine and Surgery
|
May 19, 2016
Quantitative 3D breast magnetic resonance imaging fibroglandular tissue analysis and correlation with qualitative assessments: a feasibility study
Richard Ha, Eralda Mema, Xiaotao Guo, et al.
Page
of 10