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Efficient machine learning framework for computer-aided detection of cerebral microbleeds using the Radon transform.

A. Fazlollahi, F. Mériaudeau, V. Villemagne, C. Rowe, P. Yates, O. Salvado, and P. Bourgeat. ISBI, page 113-116. IEEE, (2014)

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Developing a Next Generation Colonoscopy Simulator.H. de Visser, J. Passenger, D. Conlan, C. Russ, D. Hellier, M. Cheng, O. Acosta, S. Ourselin, and O. Salvado. Int. J. Image Graphics, 10 (2): 203-217 (2010)Parametrization of Level-Sets with B-Splines.O. Salvado. ISBI, page 1228-1231. IEEE, (2007)Atlas based automated segmentation of the quadratus lumborum muscle using non-rigid registration on magnetic resonance images of the thoracolumbar region.V. Jurcak, J. Fripp, C. Engstrom, D. Walker, O. Salvado, S. Ourselin, and S. Crozier. ISBI, page 113-116. IEEE, (2008)MR Signal Inhomogeneity Correction for Visual And Computerized Atherosclerosis Lesion Assessment.O. Salvado, D. Wilson, J. Suri, C. Hillenbrand, and S. Zhang. ISBI, page 1143-1146. IEEE, (2004)A combined voxel and surface based method for topology correction of brain surfaces.F. Gris, J. Favreau, O. Acosta, V. Barra, and O. Salvado. Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 76234T. SPIE, (2010)Symmetric diffeomorphic registration of fibre orientation distributions.D. Raffelt, J. Tournier, J. Fripp, S. Crozier, A. Connelly, and O. Salvado. NeuroImage, 56 (3): 1171-1180 (2011)Investigating brain connectivity heritability in a twin study using diffusion imaging data.K. Shen, S. Rose, J. Fripp, K. McMahon, G. de Zubicaray, N. Martin, P. Thompson, M. Wright, and O. Salvado. NeuroImage, (2014)Constrained reverse diffusion for thick slice interpolation of 3D volumetric MRI images.A. Neubert, O. Salvado, O. Acosta, P. Bourgeat, and J. Fripp. Comp. Med. Imag. and Graph., 36 (2): 130-138 (2012)Visibility Map: A New Method in Evaluation Quality of Optical Colonoscopy.M. Armin, H. de Visser, G. Chetty, C. Dumas, D. Conlan, F. Grimpen, and O. Salvado. MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 396-404. Springer, (2015)Automatic Delineation of Sulci and Improved Partial Volume Classification for Accurate 3D Voxel-Based Cortical Thickness Estimation from MR.O. Acosta, P. Bourgeat, J. Fripp, E. Bonner, S. Ourselin, and O. Salvado. MICCAI (1), volume 5241 of Lecture Notes in Computer Science, page 253-261. Springer, (2008)

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Efficient machine learning framework for computer-aided detection of cerebral microbleeds using the Radon transform.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Efficient machine learning framework for computer-aided detection of cerebral microbleeds using the Radon transform.

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Efficient machine learning framework for computer-aided detection of cerebral microbleeds using the Radon transform.