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Radiologic Clinics of North America
|
May 31, 2020
Preoperative Planning for Structural Heart Disease
Michael R Harowicz, Amar Shah, Stefan L Zimmerman
Medical Physics
|
April 18, 2018
Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter-reader variability in annotating tumors
Ashirbani Saha, Michael R Harowicz, Maciej A Mazurowski
Journal of Cancer Research and Clinical Oncology
|
February 11, 2018
A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models
Ashirbani Saha, Michael R Harowicz, Weiyao Wang, et al.
The American Journal of Cardiology
|
August 6, 2023
Massive Mysteries
Adam Aston, Michael R Harowicz, John D Grizzard, et al.
Computers in Biology and Medicine
|
May 4, 2019
Deep learning for identifying radiogenomic associations in breast cancer
Zhe Zhu, Ehab Albadawy, Ashirbani Saha, et al.
Journal of the American College of Radiology : JACR
|
May 10, 2026
Survival in patients diagnosed with lung cancer after low-dose CT screening
Michael R Harowicz, Jingchen Chai, Samantha Thomas, et al.
Breast Cancer Research and Treatment
|
October 18, 2018
Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set
Elizabeth Hope Cain, Ashirbani Saha, Michael R Harowicz, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
January 24, 2019
Association of distant recurrence-free survival with algorithmically extracted MRI characteristics in breast cancer
Maciej A Mazurowski, Ashirbani Saha, Michael R Harowicz, et al.
British Journal of Cancer
|
July 24, 2018
A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features
Ashirbani Saha, Michael R Harowicz, Lars J Grimm, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
February 10, 2017
Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?
Michael R Harowicz, Ashirbani Saha, Lars J Grimm, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
Radiologic Clinics of North America
|
May 31, 2020
Preoperative Planning for Structural Heart Disease
Michael R Harowicz, Amar Shah, Stefan L Zimmerman
Medical Physics
|
April 18, 2018
Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter-reader variability in annotating tumors
Ashirbani Saha, Michael R Harowicz, Maciej A Mazurowski
Journal of Cancer Research and Clinical Oncology
|
February 11, 2018
A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models
Ashirbani Saha, Michael R Harowicz, Weiyao Wang, et al.
The American Journal of Cardiology
|
August 6, 2023
Massive Mysteries
Adam Aston, Michael R Harowicz, John D Grizzard, et al.
Computers in Biology and Medicine
|
May 4, 2019
Deep learning for identifying radiogenomic associations in breast cancer
Zhe Zhu, Ehab Albadawy, Ashirbani Saha, et al.
Journal of the American College of Radiology : JACR
|
May 10, 2026
Survival in patients diagnosed with lung cancer after low-dose CT screening
Michael R Harowicz, Jingchen Chai, Samantha Thomas, et al.
Breast Cancer Research and Treatment
|
October 18, 2018
Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set
Elizabeth Hope Cain, Ashirbani Saha, Michael R Harowicz, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
January 24, 2019
Association of distant recurrence-free survival with algorithmically extracted MRI characteristics in breast cancer
Maciej A Mazurowski, Ashirbani Saha, Michael R Harowicz, et al.
British Journal of Cancer
|
July 24, 2018
A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features
Ashirbani Saha, Michael R Harowicz, Lars J Grimm, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
February 10, 2017
Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?
Michael R Harowicz, Ashirbani Saha, Lars J Grimm, et al.
Page
of 2