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Cortical correspondence using entropy-based particle systems and local features.

I. Oguz, J. Cates, P. Fletcher, R. Whitaker, D. Cool, S. Aylward, and M. Styner. ISBI, page 1637-1640. IEEE, (2008)

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Cortical correspondence using entropy-based particle systems and local features.I. Oguz, J. Cates, P. Fletcher, R. Whitaker, D. Cool, S. Aylward, and M. Styner. ISBI, page 1637-1640. IEEE, (2008)A Graph-Based Multi-kernel Feature Weight Learning Framework for Detection and Grading of Prostate Lesions Using Multi-parametric MR Images.W. Chen, B. Chiu, E. Gibson, M. Bastian-Jordan, D. Cool, Z. Kassam, H. Liang, A. Ward, Q. Shen, and G. Feng. ACPR, page 658-663. IEEE Computer Society, (2017)3D prostate model formation from non-parallel 2D ultrasound biopsy images.D. Cool, D. Downey, J. Izawa, J. Chin, and A. Fenster. Medical Image Analysis, 10 (6): 875-887 (2006)Vascular Atlas Formation Using a Vessel-to-Image Affine Registration Method.D. Chillet, J. Jomier, D. Cool, and S. Aylward. MICCAI (1), volume 2878 of Lecture Notes in Computer Science, page 335-342. Springer, (2003)Tissue-Based Affine Registration of Brain Images to form a Vascular Density AtlasD. Cool, D. Chillet, J. Kim, J. Guyon, M. Foskey, and S. Aylward. MICCAI (2), volume 2879 of Lecture Notes in Computer Science, page 9-15. Springer, (2003)Multiparametric MR imaging of prostate cancer foci: assessing the detectability and localizability of Gleason 7 peripheral zone cancers based on image contrasts.E. Gibson, M. Gaed, W. Hrinivich, J. Gómez, M. Moussa, C. Romagnoli, J. Mandel, M. Bastian-Jordan, D. Cool, S. Ghoul and 6 other author(s). Medical Imaging: Digital Pathology, volume 9041 of SPIE Proceedings, page 90410N. SPIE, (2014)Fusion of MRI to 3D TRUS for Mechanically-Assisted Targeted Prostate Biopsy: System Design and Initial Clinical Experience.D. Cool, J. Bax, C. Romagnoli, A. Ward, L. Gardi, V. Karnik, J. Izawa, J. Chin, and A. Fenster. Prostate Cancer Imaging, volume 6963 of Lecture Notes in Computer Science, page 121-133. Springer, (2011)Improving 2D-3D Registration Optimization Using Learned Prostate Motion Data.T. Silva, D. Cool, J. Yuan, C. Romagnoli, A. Fenster, and A. Ward. MICCAI (2), volume 8150 of Lecture Notes in Computer Science, page 124-131. Springer, (2013)Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging.M. Shahedi, D. Cool, G. Bauman, M. Bastian-Jordan, A. Fenster, and A. Ward. J. Digital Imaging, 30 (6): 782-795 (2017)3D ultrasound imaging in image-guided intervention.A. Fenster, J. Bax, H. Neshat, D. Cool, N. Kakani, and C. Romagnoli. EMBC, page 6151-6154. IEEE, (2014)

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Cortical correspondence using entropy-based particle systems and local features.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Cortical correspondence using entropy-based particle systems and local features.

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Cortical correspondence using entropy-based particle systems and local features.