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Similarity Metrics for Intensity-Based Registration Using Breast Density Maps.

, , , , , , and . IbPRIA, volume 10255 of Lecture Notes in Computer Science, page 217-225. Springer, (2017)

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Feasibility of Depth Sensors to Study Breast Deformation During Mammography Procedures., , , , , , and . Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 446-453. Springer, (2016)Quality analysis of DCGAN-generated mammography lesions., , , , and . CoRR, (2019)Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study., , , , , and . CoRR, (2022)Breast MRI and X-ray mammography registration using gradient values., , , , , , , and . Medical Image Analysis, (2019)DCGANs for Realistic Breast Mass Augmentation in X-ray Mammography., , and . CoRR, (2019)Mass detection in mammograms using pre-trained deep learning models., , , and . IWBI, volume 10718 of SPIE Proceedings, page 107181F. SPIE, (2018)Phantoms for Quality Control Procedures of Digital Breast Tomosynthesis., , , , , and . Digital Mammography / IWDM, volume 7361 of Lecture Notes in Computer Science, page 322-329. Springer, (2012)Similarity Metrics for Intensity-Based Registration Using Breast Density Maps., , , , , , and . IbPRIA, volume 10255 of Lecture Notes in Computer Science, page 217-225. Springer, (2017)Multimodal Breast Parenchymal Patterns Correlation Using a Patient-Specific Biomechanical Model., , , , , , , and . IEEE Trans. Med. Imaging, 37 (3): 712-723 (2018)Breast tomosynthesis reconstruction using TIGRE software tool., , , , and . IWBI, volume 10718 of SPIE Proceedings, page 107181L. SPIE, (2018)