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Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment.

, , , , , , , , , and . Medical Image Anal., (2021)

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Mammographic phenotypes of breast cancer risk driven by breast anatomy., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 1013417. SPIE, (2017)Associations between mammographic phenotypes and histopathologic features in ductal carcinoma in situ., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109502K. SPIE, (2019)Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis., , , , , , , , , and 3 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Quantitative CT texture-based method to predict diagnosis and prognosis of fibrosing interstitial lung disease patterns., , , , and . CoRR, (2022)Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment., , , , , , , , , and . Medical Image Anal., (2021)Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation., , , , , and . Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 1013314. SPIE, (2017)Three-Dimensional Whole Breast Segmentation in Sagittal and Axial Breast MRI With Dense Depth Field Modeling and Localized Self-Adaptation for Chest-Wall Line Detection., , , , and . IEEE Trans. Biomed. Eng., 66 (6): 1567-1579 (2019)Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101340S. SPIE, (2017)O-Net: An Overall Convolutional Network for Segmentation Tasks., , , , , and . MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 199-209. Springer, (2020)Volumetric versus area-based density assessment: comparisons using automated quantitative measurements from a large screening cohort., , , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 105742H. SPIE, (2018)