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MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters.

T. Mertzanidou, J. Hipwell, S. Johnsen, L. Han, B. Eiben, Z. Taylor, S. Ourselin, H. Huisman, R. Mann, U. Bick, N. Karssemeijer, and D. Hawkes. Medical Image Analysis, 18 (4): 674-683 (2014)

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Establishing spatial correspondence for the analysis of images from highly deforming anatomy.D. Hawkes, T. Mertzanidou, J. Hipwell, D. Atkinson, H. Roth, T. Hampshire, and J. McClelland. EMBC, page 3732-3735. IEEE, (2012)Intensity-Based MRI to X-ray Mammography Registration with an Integrated Fast Biomechanical Transformation.T. Mertzanidou, J. Hipwell, L. Han, Z. Taylor, H. Huisman, U. Bick, N. Karssemeijer, and D. Hawkes. Digital Mammography / IWDM, volume 7361 of Lecture Notes in Computer Science, page 48-55. Springer, (2012)Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology.T. Mertzanidou, J. Hipwell, S. Reis, B. Bejnordi, M. Hermsen, M. Dalmis, S. Vreemann, B. Platel, J. van der Laak, N. Karssemeijer and 3 other author(s). Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 367-374. Springer, (2016)Automated Classification of Breast Cancer Stroma Maturity From Histological Images.S. Reis, P. Gazinska, J. Hipwell, T. Mertzanidou, K. Naidoo, N. Williams, S. Pinder, and D. Hawkes. IEEE Trans. Biomed. Engineering, 64 (10): 2344-2352 (2017)Combined Reconstruction and Registration of Digital Breast Tomosynthesis.G. Yang, J. Hipwell, M. Clarkson, C. Tanner, T. Mertzanidou, S. Gunn, S. Ourselin, D. Hawkes, and S. Arridge. Digital Mammography / IWDM, volume 6136 of Lecture Notes in Computer Science, page 760-768. Springer, (2010)MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters.T. Mertzanidou, J. Hipwell, S. Johnsen, L. Han, B. Eiben, Z. Taylor, S. Ourselin, H. Huisman, R. Mann, U. Bick and 2 other author(s). Medical Image Analysis, 18 (4): 674-683 (2014)A simulation study of spectral Čerenkov luminescence imaging for tumour margin estimation.N. Calvert, Y. Helo, T. Mertzanidou, D. Tuch, S. Arridge, and D. Stoyanov. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10137 of SPIE Proceedings, page 1013717. SPIE, (2017)Classification of breast cancer stroma as a tool for prognosis.S. Reis, P. Gazinska, J. Hipwell, T. Mertzanidou, K. Naidoo, S. Pinder, and D. Hawkes. Medical Imaging: Digital Pathology, volume 9791 of SPIE Proceedings, page 979105. SPIE, (2016)Minimum slice spacing required to reconstruct 3D shape for serial sections of breast tissue for comparison with medical imaging.S. Reis, B. Eiben, T. Mertzanidou, J. Hipwell, M. Hermsen, J. van der Laak, S. Pinder, P. Bult, and D. Hawkes. Medical Imaging: Digital Pathology, volume 9420 of SPIE Proceedings, page 94200K. SPIE, (2015)MRI to X-ray mammography registration using a volume-preserving affine transformation.T. Mertzanidou, J. Hipwell, M. Cardoso, X. Zhang, C. Tanner, S. Ourselin, U. Bick, H. Huisman, N. Karssemeijer, and D. Hawkes. Medical Image Analysis, 16 (5): 966-975 (2012)

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MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters.

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MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters.