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Biomechanical modelling for breast image registration.

, , , , , and . Medical Imaging: Image-Guided Procedures, volume 6918 of SPIE Proceedings, page 69180U. SPIE, (2008)

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Breast lesion co-localisation between X-ray and MR images using finite element modelling., , , , , and . Medical Image Anal., 17 (8): 1256-1264 (2013)Impact of anatomical reverse remodelling in the design of optimal quadripolar pacing leads: A computational study., , , , , , , and . Comput. Biol. Medicine, (2022)Biomechanical modelling for breast image registration., , , , , and . Medical Imaging: Image-Guided Procedures, volume 6918 of SPIE Proceedings, page 69180U. SPIE, (2008)CemrgApp: An interactive medical imaging application with image processing, computer vision, and machine learning toolkits for cardiovascular research., , , , , , , and . SoftwareX, (2020)Predicting Activation Patterns in Cardiac Resynchronization Therapy Patients., , , , , , , , , and 1 other author(s). CinC, page 1-2. www.cinc.org, (2018)Non-invasive simulated electrical and measured mechanical indices predict response to cardiac resynchronization therapy., , , , , , , , , and 2 other author(s). Comput. Biol. Medicine, (2021)The Influence of Left Atrial Wall Thickness and Curvature on Wall Strain in Patient-Specific Atrium Models., , , , , , , , and . CinC, page 1-4. IEEE, (2022)Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models., , , , and . NIPS, page 110-118. (2017)Breast Image Registration by Combining Finite Elements and Free-Form Deformations., , , , and . Digital Mammography / IWDM, volume 6136 of Lecture Notes in Computer Science, page 736-743. Springer, (2010)A rule-based method for predicting the electrical activation of the heart with cardiac resynchronization therapy from non-invasive clinical data., , , , , , , , , and 3 other author(s). Medical Image Anal., (2019)