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Introduction of an Automated User-Independent Quantitative Volumetric MRI Breast Density Measurement System using the Dixon Sequence: Comparison with Mammographic Breast Density Assessment

, , , , , , , , , and . Investigative Radiology (accepted), (2014)

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Introduction of an Automated User-Independent Quantitative Volumetric MRI Breast Density Measurement System using the Dixon Sequence: Comparison with Mammographic Breast Density Assessment, , , , , , , , , and . Investigative Radiology (accepted), (2014)Deep learning achieves radiologist-level performance of tumor segmentation in breast MRI., , , , , , , , , and 13 other author(s). CoRR, (2020)Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types., , , , , and . MICCAI (8), volume 13437 of Lecture Notes in Computer Science, page 276-286. Springer, (2022)Reproducible Evaluation of Registration Algorithms for Movement Correction in Dynamic Contrast Enhancing Magnetic Resonance Imaging for Breast Cancer Diagnosis., , , , and . RAMBO+BIA+TIA@MICCAI, volume 11040 of Lecture Notes in Computer Science, page 124-131. Springer, (2018)Determining the importance of parameters extracted from multi-parametric MRI in the early prediction of the response to neo-adjuvant chemotherapy in breast cancer., , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 1057818. SPIE, (2018)Determining disease evolution driver nodes in dementia networks., , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 1057829. SPIE, (2018)Automated non-mass enhancing lesion detection and segmentation in breast DCE-MRI., , , , and . CoRR, (2018)Case-Based Support Vector Optimization for Medical-Imaging Imbalanced Datasets., , , , and . SOCO-CISIS-ICEUTE, volume 771 of Advances in Intelligent Systems and Computing, page 221-229. Springer, (2018)