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

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發(fā)表于 2025-3-21 16:07:26 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013
副標題16th International C
編輯Kensaku Mori,Ichiro Sakuma,Nassir Navab
視頻videohttp://file.papertrans.cn/630/629263/629263.mp4
概述State-of-the-art research.Fast-track conference proceedings.Unique visibility
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013; 16th International C Kensaku Mori,Ichiro Sakuma,Nassir Navab Con
描述The three-volume set LNCS 8149, 8150, and 8151 constitutes the 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 presentation in three volumes. The 95 papers included in the first volume have been organized in the following topical sections: physiological modeling and computer-assisted intervention; imaging, reconstruction, and enhancement; registration; machine learning, statistical modeling, and atlases; computer-aided diagnosis and imaging biomarkers; intraoperative guidance and robotics; microscope, optical imaging, and histology; cardiology, vasculatures and tubular structures; brain imaging and basic techniques; diffusion MRI; and brain segmentation and atlases.
出版日期Conference proceedings 2013
關鍵詞alzheimers disease; computational anatomy; discrete optimization; robotic surgery; structural brain netw
版次1
doihttps://doi.org/10.1007/978-3-642-40811-3
isbn_softcover978-3-642-40810-6
isbn_ebook978-3-642-40811-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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書目名稱Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013被引頻次




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Prediction of Cranio-Maxillofacial Surgical Planning Using an Inverse Soft Tissue Modelling Approachomplete denture closure. In the present paper, we propose an efficient modeling approach to predict the surgical planning on the basis of the desired facial appearance and optimal occlusion. To evaluate the proposed planning approach, the predicted osteotomy plan of six clinical cases that underwent
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String Motif-Based Description of Tool Motion for Detecting Skill and Gestures in Robotic Surgerygical technical performance and skill. However, previously published methods for modeling and assessment have not proven to scale well to large and diverse data sets. In this paper, we describe a new approach for simultaneous detection of gestures and skill that can be generalized to different surgi
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Real-Time Dense Stereo Reconstruction Using Convex Optimisation with a Cost-Volume for Image-Guided y. Stereo reconstruction has been studied for decades but remains a challenge in endoscopic imaging. Current approaches can easily fail to reconstruct an accurate and smooth 3D model due to textureless tissue appearance in the real surgical scene and occlusion by instruments. To tackle these problem
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Combining Surface and Fiber Geometry: An Integrated Approach to Brain Morphologylationship between gray and white matter morphology has not been widely researched. In this paper, we propose a novel framework for investigating this relationship. Given a set of fiber tracts which connect to a particular cortical region, the key idea is to compute two scalar fields that represent
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Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infantsfunction in both normal and abnormal infant brains. In this paper, we propose a novel method for simultaneous, consistent, and unbiased labeling of longitudinal dynamic cortical surfaces in the infant brain MR images. The proposed method is formulated as minimization of an energy function, which inc
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The Importance of Being Dispersed: A Ranking of Diffusion MRI Models for Fibre Dispersion Using , Huding more specific biomarkers of disease by disentangling these structural contributions to the signal. Some models are drawn from recent work in the field; others have been constructed from combinations of existing compartments that aim to capture both intracellular and extracellular diffusion. To
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