Applying a new quantitative global breast MRI feature analysis scheme to assess tumor response to chemotherapy von Aghaei, Faranak, Tan, Maxine, Hollingsworth, Alan B., Zheng, Bin

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Computer‐aided breast MR image feature analysis for prediction of tumor response to chemotherapy von Aghaei, Faranak, Tan, Maxine, Hollingsworth, Alan B., Qian, Wei, Liu, Hong, Zheng, Bin

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Absolute quantification of cell-free microRNAs in cancer patients von Ferracin, Manuela, Lupini, Laura, Salamon, Irene, Saccenti, Elena, Zanzi, Maria Vittoria, Rocchi, Andrea, Da Ros, Lucia, Zagatti, Barbara, Musa, Gentian, Bassi, Cristian, Mangolini, Alessandra, Cavallesco, Giorgio, Frassoldati, Antonio, Volpato, Stefano, Carcoforo, Paolo, Hollingsworth, Alan B, Negrini, Massimo

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Integration of Serum Protein Biomarker and Tumor Associated Autoantibody Expression Data Increases the Ability of a Blood-Based Proteomic Assay to Identify Breast Cancer von Henderson, Meredith C, Hollingsworth, Alan B, Gordon, Kelly, Silver, Michael, Mulpuri, Rao, Letsios, Elias, Reese, David E

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Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases von Heidari, Morteza, Mirniaharikandehei, Seyedehnafiseh, Liu, Wei, Hollingsworth, Alan B., Liu, Hong, Zheng, Bin

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Breast magnetic resonance imaging for preoperative locoregional staging von Hollingsworth, Alan B., M.D, Stough, Rebecca G., M.D, O'Dell, Carol A., M.D, Brekke, Charles E., M.D

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Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm von Heidari, Morteza, Khuzani, Abolfazl Zargari, Hollingsworth, Alan B, Danala, Gopichandh, Mirniaharikandehei, Seyedehnafiseh, Qiu, Yuchen, Liu, Hong, Zheng, Bin

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Is invasion a necessary step for metastases in breast cancer? Narod SA, Sopik V von Hollingsworth, Alan B.

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Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer von Chen, Xuxin, Zargari, Abolfazl, Hollingsworth, Alan B, Liu, Hong, Zheng, Bin, Qiu, Yuchen

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Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk von Mirniaharikandehei, Seyedehnafiseh, Hollingsworth, Alan B, Patel, Bhavika, Heidari, Morteza, Liu, Hong, Zheng, Bin

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Redefining the sensitivity of screening mammography: A review von Hollingsworth, Alan B.

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Breast cancer survival following MRI detection in a high‐risk screening program von Hollingsworth, Alan B., Pearce, Melanie R., Stough, Rebecca G.

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Lifetime risks for breast cancer are age-discriminatory when used for high-risk screening with MRI von Hollingsworth, Alan B., Li, Fang-Ying, Morse, Abraham N.

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Modeling the impact of a screening blood test on the use of adjunct breast imaging von Hollingsworth, Alan B., Pearce, Melanie R., Stough, Rebecca G.

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Breast Density Should Play a Greater Role in MRI Screening Guidelines von Hollingsworth, Alan B, Li, Fang-Ying, Stough-Clinton, Rebecca G

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An Alternative Approach to Selecting Patients for High-risk Screening with Breast MRI von Hollingsworth, Alan B., Stough, Rebecca G.

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Multicentric and Contralateral Invasive Tumors Identified with Pre-op MRI in Patients Newly Diagnosed with Ductal Carcinoma In Situ of the Breast von Hollingsworth, Alan B., Stough, Rebecca G.

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Diagnostic Performance of a Dedicated 1.5-T Breast MR Imaging System von HILLMAN, Bruce J, HARMS, Steven E, STEVENS, Gary, STOUGH, Rebecca G, HOLLINGSWORTH, Alan B, KOZLOWSKI, Kamilia F, MOSS, Lawrence J

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Perspectives on preoperative staging with breast MRI von Hollingsworth, Alan B

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Positive predictive value of the breast imaging reporting and data system von Lacquement, Melissa A, Mitchell, Debra, Hollingsworth, Alan B

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