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Accuracy of Non-Contrast MRI Biopsy in Diagnosing a Breast Cancer Pathologic Complete Response Following Neoadjuvant Chemotherapy

Author:Larowin Toni Olga Smelianskaia Elizabeth Morris Elizabeth Sutton

Institution:Memorial Sloan Kettering Cancer Center

Session Type:SMRT Poster Presentations

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

Topic:

Session Name:SMRT Poster Tour Part 2

Program Number:S111

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Background Parenchymal Enhancement (BPE) classification on Breast MRI using Deep Learning

Author:Sarah Eskreis-Winkler Katja Pinker Donna D'Alessio Katherine Gallagher Nicole Saphier Danny Martinez Elizabeth Sutton Elizabeth Morris

Institution:Memorial Sloan Kettering Cancer Center

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:2319

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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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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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Accuracy of Non-Contrast MRI Biopsy in Diagnosing a Breast Cancer Pathologic Complete Response Following Neoadjuvant Chemotherapy

Background Parenchymal Enhancement (BPE) classification on Breast MRI using Deep Learning

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

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