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Can radiomics and machine learning capture the unique differences between invasive lobular and invasive ductal carcinoma of the breast?

Author:Carolina Rossi Saccarelli Peter Gibbs Almir Bitencourt Isaac Daimiel Roberto Lo Gullo Sunitha Thakur Elizabeth Morris Katja Pinker

Institution:MSKCC Hospital Sirio-Libanes

Session Type:Digital Poster

Session Live Q&A Date:Digital Poster (All Week)

Topic:Cancer Imaging: Therapy Planning, Response & Breast

Session Name:Cancer Imaging: Breast

Program Number:4876

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Characterization of Sub-centimeter Enhancing Breast Masses on MRI with Radiomics and Machine Learning in BRCA Mutation Carriers

Author:Roberto Lo Gullo Isaac Daimiel Carolina Saccarelli Almir Bitencourt Peter Gibbs michael Fox Sunitha Thakur Danny Martinez Elisabeth Mossir Katja Pinker

Institution:Memorial Sloan Kettering Cancer Center

Session Type:Digital Poster

Session Live Q&A Date:Digital Poster (All Week)

Topic:Cancer Imaging: Therapy Planning, Response & Breast

Session Name:Cancer Imaging: Breast

Program Number:4877

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Inter-reader variability in Breast MRI Radiomics

Author:michael Fox Roberto Lo Gullo Isaac Daimiel Naranjo Carolina Saccarelli Almir Bitencourt Katja Pinker-Domenig Peter Gibbs

Institution:Memorial Sloan Kettering Cancer Center Medical University of Vienna

Session Type:Digital Poster

Session Live Q&A Date:Digital Poster (All Week)

Topic:Thoracic and Breast MRI

Session Name:Breast (Machine Learning, Radiomics & Texture Analysis)

Program Number:2322

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MR-based machine learning radiomics can predict tumor heterogeneity and pathologic response after neoadjuvant therapy in HER2 breast cancer

Author:Almir Bitencourt Peter Gibbs Carolina Rossi Saccarelli Isaac Daimiel Roberto Lo Gullo michael Fox Sunitha Thakur Katja Pinker Elizabeth Morris Monica Morrow Maxime Jochelson

Institution:MSKCC A.C. Camargo Cancer Center

Session Type:Digital Poster

Session Live Q&A Date:Digital Poster (All Week)

Topic:Cancer Imaging: Therapy Planning, Response & Breast

Session Name:Cancer Imaging: Breast

Program Number:4878

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Can radiomics and machine learning capture the unique differences between invasive lobular and invasive ductal carcinoma of the breast?

Characterization of Sub-centimeter Enhancing Breast Masses on MRI with Radiomics and Machine Learning in BRCA Mutation Carriers

Inter-reader variability in Breast MRI Radiomics

MR-based machine learning radiomics can predict tumor heterogeneity and pathologic response after neoadjuvant therapy in HER2 breast cancer