Titlebook: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013; 16th International C Kensaku Mori,Ichiro Sakuma,Nassir Navab Con

Visual-Field

Apoptosis Detection for Non-adherent Cells in Time-lapse Phase Contrast Microscopy unlabeled data in addition to labeled data. Our method achieved promising performance in the experiments with hematopoietic stem cell (HSC) populations, which are currently in clinical use for rescuing hematopoietic function during bone marrow transplants.

pineal-gland

Allure

Jubilation

Improving 2D-3D Registration Optimization Using Learned Prostate Motion Data.53±1.25 mm after registration. Multiple initializations along the major principal directions improved the robustness of the method at the cost of additional execution time of 1.5 s. With a total execution time of 3.2 s to perform motion compensation, this method is amenable to useful integration into a clinical 3D guided prostate biopsy workflow.

Barrister

0302-9743 refereed proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program committee carefully selected 262 revised papers from 789 submissions for present

男生戴手銬

Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation o incorporates a multi-kernel strategy to concurrently register anatomical structures of different scales. We demonstrate the efficacy of our approach using . data and report on detailed qualitative and quantitative results in comparison with several different registration strategies.

無(wú)可爭(zhēng)辯

Random Walks with Efficient Search and Contextually Adapted Image Similarity for Deformable Registraout sacrificing registration accuracy. Experiments performed on 60 real brain image pairs from a public dataset also demonstrated our method’s better performance over existing non-probabilistic image registration methods.

DEI

A Histology-Based Model of Quantitative T1 Contrast for In-vivo Cortical Parcellation of High-Resoluasured using MRI. The work presented may provide new perspectives for this line of research, both in imaging and in modelling the relationship with myelo- and cytoarchitecture, thus leading the way towards in-vivo histology using MRI.

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