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检索条件"任意字段=8th International Conference on Medical Image Computing and Computer-Assisted Intervention"
2694 条 记 录,以下是2501-2510 订阅
排序:
Unsupervised learning and mapping of brain fMRI signals based on hidden Semi-Markov event sequence models
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6th international conference on medical image computing and computer-assisted intervention, MICCAI 2003
作者: Faisan, Sylvain thoraval, Laurent Armspach, Jean-Paul Heitz, Fabrice Laboratoire des Sciences de l’Image de l’Informatique et de la Télédétection LSIIT/MIV - UMR CNRS 7005 ENSPS Bd. Sébastien Brant IllkirchF-67400 France Institut de Physique Biologique 4 Rue Kirschleger Strasbourg CedexF-67085 France
Most methods used in functional MRI (fMRI) brain mapping require restrictive prior knowledge about the shape of the active bloodoxygenation- level-dependent (BOLD) response, thus leading to suboptimal or invalid infer... 详细信息
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Extraction and application of expert priors to combine multiple segmentations of human brain tissue
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6th international conference on medical image computing and computer-assisted intervention, MICCAI 2003
作者: Rohlfing, Torsten Russakoff, Daniel B. Maurer, Calvin R. Image Guidance Laboratories Department of Neurosurgery Stanford University 300 Pasteur Drive MC 5327 StanfordCA94305-5327 United States
this paper evaluates strategies to combine multiple segmentations of the same image, generated for example by different segmentation methods or by different human experts. three methods are compared, each estimating a... 详细信息
来源: 评论
Automatic spinal deformity detection based on neural network
Automatic spinal deformity detection based on neural network
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medical image computing and computer-assisted intervention, MICCAI 2003 - 6th international conference Proceedings
作者: Kim, Hyoungseop Ishikawa, Seiji Khalid, Marzuki Otsuka, Yoshinori Shimizu, Hisashi Nakada, Yasuhiro Shinomiya, Takasi Viergever, Max A. Faculty of Engineering Kyushu Institute of Technology 1-1 Sensui-cho Tobataku Kitakyushu 804-8550 Japan Center for Al and Robotics Universiti Teknologi Malaysia National Sanatorium Chiba Higashi Hospital Japan Chiba Health Care Association Japan Nikon Digital Technologies Co. Ltd. Japan Image Science Institute University Hospital Utrecht Netherlands
We propose a technique for automatic spinal deformity detection method from moiré topographic images. Normally the moiré stripes show a symmetric pattern, as a human body is almost symmetric. According to th... 详细信息
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A novel stochastic combination of 3D texture features for automated segmentation of prostatic adenocarcinoma from high resolution MRI
A novel stochastic combination of 3D texture features for au...
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medical image computing and computer-assisted intervention, MICCAI 2003 - 6th international conference Proceedings
作者: Madabhushi, Anant Feldman, Michael Metaxas, Dimitris Chute, Deborah Tomaszewski, John University of Pennsylvania Philadelphia PA 19104 Rutgers State Univ. of New Jersey Piscataway NJ 08854
In this work, we present a new methodology for fully automated segmentation of prostatic adenocarcinoma from high resolution MR by using a novel feature ensemble of 3D texture features. this work represents the first ... 详细信息
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Segmentation of 3D medical structures using robust ray propagation  1
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5th international conference on medical image computing and computer-assisted intervention
作者: Tek, H Bergtholdt, M Comaniciu, D Williams, J Siemens Corp Res Inc Image & Visualizat Princeton NJ 08540 USA
A robust and efficient method for the segmentation of 3D structures in CT and MR images is presented. the proposed method is based on 3D ray propagation by mean shift analysis with a smoothness constraint. Specificall... 详细信息
来源: 评论
Model library for deformable model-based segmentation of 3-D brain MR-images  1
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5th international conference on medical image computing and computer-assisted intervention
作者: Koikkalainen, J Lötjönen, J Aalto Univ Biomed Engn Lab FIN-02015 Helsinki Finland VTT Informat Technol FIN-33101 Tampere Finland
A novel method to use model libraries in segmentation is introduced. Using similarity measures one model from a model library is selected. this model is then used in model-based segmentation. the proposed method is si... 详细信息
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Integrated image registration for cardiac MR perfusion data  1
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5th international conference on medical image computing and computer-assisted intervention
作者: Bansal, R Funka-Lea, G Siemens Corp Res Inc Dept Imaging & Visualizat Princeton NJ 08540 USA
In this paper we present an integrated image registration algorithm for segmenting the heart muscle, the myocardium (MC). A sequence of magnetic resonance (MR) images of heart are acquired after injection of a contras... 详细信息
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Example-based assisting approach for pulmonary nodule classification in 3-D thoracic CT images  1
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5th international conference on medical image computing and computer-assisted intervention
作者: Kawata, Y Niki, N Ohmatsu, H Moriyama, N Univ Tokushima Dept Opt Sci Tokushima 7708506 Japan East Hosp Natl Canc Ctr Chiba Japan Natl Canc Ctr Tokyo Japan
this paper describes an example-based assisting approach for classifying pulmonary nodules in 3-D thoracic CT images. In this approach the internal and surrounding structures of the nodule are characterized by the dis... 详细信息
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Coronary intervention planning using hybrid 3D reconstruction  1
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5th international conference on medical image computing and computer-assisted intervention
作者: Wink, O Kemkers, R Chen, SJ Carroll, JD Philips Med Syst N Amer Cardiovasc Xray Bothell WA 98041 USA Univ Colorado Hlth Sci Ctr Dept Med Div Cardiol Denver CO 80262 USA
A new method is presented to assist the clinician in planning a interventional procedure while the patient is already on the catheterization table. Based on several ECG-selected projections from a rotational X-ray acq... 详细信息
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3D guide wire reconstruction from biplane image sequences for 3D navigation in endovascular interventions  1
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5th international conference on medical image computing and computer-assisted intervention
作者: Baert, SAM van der Kraats, EB Niessen, WJ Univ Utrecht Med Ctr Image Sci Inst NL-3508 GA Utrecht Netherlands
Using 3D rotational X-ray angiography (3DRA), 3D information of the vasculature can be obtained. prior to endovascular interventions. However, during interventions, the radiologist has to rely on fluoroscopy images to... 详细信息
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