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Titlebook: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2010; 13th International C Tianzi Jiang,Nassir Navab,Max A. Viergever

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Kelvin K. Leung,Kai-Kai Shen,Josephine Barnes,Gerard R. Ridgway,Matthew J. Clarkson,Jurgen Fripp,Oliethod for successful implementation.Features key tips from tSince the publication of the popular first edition, the explosion of DNA sequence information, the access to bioinformatics and mutation databases coupled with the ability to readily detect and confirm mutations has cemented the role of mol
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Jinglei Lv,Lei Guo,Xintao Hu,Tuo Zhang,Kaiming Li,Degang Zhang,Jianfei Yang,Tianming Liuethod for successful implementation.Features key tips from tSince the publication of the popular first edition, the explosion of DNA sequence information, the access to bioinformatics and mutation databases coupled with the ability to readily detect and confirm mutations has cemented the role of mol
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Bjoern H. Menze,Koen van Leemput,Danial Lashkari,Marc-André Weber,Nicholas Ayache,Polina Gollandethod for successful implementation.Features key tips from tSince the publication of the popular first edition, the explosion of DNA sequence information, the access to bioinformatics and mutation databases coupled with the ability to readily detect and confirm mutations has cemented the role of mol
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Temporal Diffeomorphic Free-Form Deformation for Strain Quantification in 3D-US Imagesce of 3D images. The displacement field is computed by forward eulerian integration of a non-stationary velocity field. The originality of our approach resides in enforcing time consistency by representing the velocity field as a sum of continuous spatiotemporal BSpline kernels. The accuracy of the
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