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Titlebook: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008; 11th International C Dimitris Metaxas,Leon Axel,Gábor Székely Con

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Conference proceedings 2008f New York University, New York City, USA on September 6–10, 2008. MICCAI is the premier international conference in this domain, with - depth papers on the multidisciplinary ?elds of biomedical image computing and analysis, computer assisted intervention and medical robotics. The conference brings
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Computational Pathology Analysis of Tissue Microarrays Predicts Survival of Renal Clear Cell Carcinoy expert annotations of 2300 nuclei gathered from tissues of 9 different RCC patients. The application to a test set of 133 patients clearly demonstrates that our computational pathology analysis matches the prognostic performance of expert pathologists.
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3D Dendrite Reconstruction and Spine Identificationy. Then spines are detected based on dendrite medial axis and a label-based thinning strategy is proposed to accurately extract the dendrite skeleton for spine identification. Experimental results reveal that our method works well.
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Joint LMMSE Estimation of DWI Data for DTI Processingrocessing of each DWI, that translates to better removal of noise and preservation of structural information. Besides, our model has a simple algebraic formulation which makes the overall computational complexity very close to that of the scalar case, and it does not need multiple samples per DWI.
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Deformable Mosaicing for Whole-Body MRIsimultaneous registration to linear weighted averages, to correct for distortions in the overlapping area. This method produces good results on in-vivo data and has the advantage that a seamless integration into the clinical workflow is possible.
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Harmonic Surface Mapping with Laplace-Beltrami EigenmapsIn the experiments, we demonstrate our method on three subcortical structures: the hippocampus, putamen, and caudate nucleus. A group study is also performed to generate a statistically significant map of local volume losses in the hippocampus of patients with secondary progressive multiple sclerosis.
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