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检索条件"机构=Image Processing and Intelligent System Laboratory"
173 条 记 录,以下是161-170 订阅
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NONPARAMETRIC ENTROPY-BASED COUPLED MULTI-SHAPE MEDICAL image SEGMENTATION
NONPARAMETRIC ENTROPY-BASED COUPLED MULTI-SHAPE MEDICAL IMAG...
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IEEE International Symposium on Biomedical Imaging
作者: Alireza Akhoundi-Asl Hamid Soltanian-Zadeh School of Cognitive Sciences Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Health System Detroit MI USA
We propose a 3D nonparametric, entropy-based, coupled, multishape approach for the segmentation of subcortical brain structures in magnetic resonance images (MRI). Our method uses PCA to capture structures variability... 详细信息
来源: 评论
AUTOMATIC BRAIN TUMOR SEGMENTATION USING TISSUE DIFFISIVITY CHARACTERISTICS
AUTOMATIC BRAIN TUMOR SEGMENTATION USING TISSUE DIFFISIVITY ...
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IEEE International Symposium on Biomedical Imaging
作者: Azadeh Yazdan-Shahmorad Hesamoddin Jahanian Suresh Patel Hamid Soltanian-Zadeh Radiology Department Henry Ford Health System Medical Image Analysis Laboratory Detroit MI USA Electrical and Computer Engineering Department Wayne State University Detroit MI USA Biomedical Engineering Department University of Michigan Ann Arbor MI USA Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran
Water diffusion measurements have been shown to be sensitive to tissue cellular size, extra cellular volume, and membrane permeability. Therefore, diffusion tensor imaging (DTI) by MRI can be used to characterize high... 详细信息
来源: 评论
Rule-based decision-making framework for knowledge-based anatomical landmark localization (K-BALL)
Rule-based decision-making framework for knowledge-based ana...
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IEEE International Symposium on Biomedical Imaging
作者: M.-R. Siadat H. Soltanian-Zadeh K. Elisevich Henry Ford Health System Radiology Image Analysis Laboratory Detroit MI USA Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Neurosurgery Henry Ford Health System Detroit MI USA
K-BALL is a general method for localization of anatomical phenomena of the same origin with natural discrepancies distributed over a reference space, e.g., human brain anatomical structures. In this paper, we focus on... 详细信息
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Medical Data Mining using Particle Swarm Optimization for Temporal Lobe Epilepsy
Medical Data Mining using Particle Swarm Optimization for Te...
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Congress on Evolutionary Computation
作者: M. Ghannad-Rezaie H. Soltanain-Zadeh M.-R. Siadat K.V. Elisevich Henry Ford Health System and Wayne State University Detroit MI USA Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI USA Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Neurosurgery Department Henry Ford Health System Detroit MI USA
In clinical problems, numerous factors are usually involved in a medical syndrome. New advances in medicine provide a broad range of diagnosis methods to cover all aspects of a disease. However, huge amounts of raw in... 详细信息
来源: 评论
Spatially Adaptive Kernels for Adaptive Spatial Filtering of fMRI Data
Spatially Adaptive Kernels for Adaptive Spatial Filtering of...
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International Joint Conference on Neural Networks (IJCNN)
作者: V. Taimouri G.-A. Hossein-Zadeh H. Soltanian-Zadeh Control and Intelligent Processing Centre of Excellence ECE Department Faculty of Engineering University of Tehran Tehran Iran School of Cognitive Sciences Institute of Studies in Theoretical Physics and Mathematics and Medical Image Analysis Laboratory Henry Ford Health System Detroit MI USA
Making use of neighborhood time series is an effective way of noise reduction in fMRI data. However the conventional averaging methods blur activated areas. In this paper, a filter with adaptive kernel is designed suc... 详细信息
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Hippocampus Volume and Texture Analysis for Temporal Lobe Epilepsy
Hippocampus Volume and Texture Analysis for Temporal Lobe Ep...
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IEEE International Conference on Electro-Information Technology
作者: Kourosh Jafari-Khouzani Hamid Soltanian-Zadeh Kost Elisevich Henry Ford Health System Radiology Image Analysis Laboratory Detroit MI USA Department of Computer Science Wayne State University Detroit MI USA Control and Intelligent Processing Center of Excellence ECE Department University of Tehran Tehran Iran Neurosurgery Department Henry Ford Health System Detroit MI USA
It has been previously shown that intensity and volume features of the hippocampus from MR images of the brain are useful in detecting the abnormality and consequently candidacy of the hippocampus for temporal lobe ep... 详细信息
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High SNR flexible top hat monopole probe for 1.5 T MRI
High SNR flexible top hat monopole probe for 1.5 T MRI
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作者: Mohammadzadeh, M. Shahabadi, M. Soltanian-Zadeh, H. Tavakoli, A. Rafiei, B. Javidnia, D. Oghabian, M.A. Department of Physics Amir-Kabir University of Technology Tehran Iran School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI United States Department of Electrical Engineering Amir-Kabir University of Technology Tehran Iran Medical Imaging Center Imam Khomeyni Hospital Tehran Iran Research Center for Science and Technology in Medicine Tehran University of Medical Sciences Tehran Iran
In this paper, design principles and application of a thin and flexible intravascular top hat monopole probe with increased signal-to-noise ratio (SNR) and improved longitudinal and radial coverage are described and c... 详细信息
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Controlling the false positive detection rate in fuzzy clustering of fMRI data
Controlling the false positive detection rate in fuzzy clust...
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IEEE International Symposium on Biomedical Imaging
作者: H. Jahanian H. Soltanian-Zadeh G.A. Hossein-Zadeh Signal and Image Processing Group School of Intelligent Systems Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Elec. Eng. Department Control and Intelligent Processing Center of Excellence University of Tehran Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Health System Detroit MI USA
Despite its potential advantages for fMRI analysis, fuzzy C-means (FCM) clustering suffers from limitations such as the need for a priori knowledge of the number of clusters, and unknown statistical significance and i... 详细信息
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Clustering-based framework for comparing fMRI analysis methods
Clustering-based framework for comparing fMRI analysis metho...
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IEEE International Symposium on Biomedical Imaging
作者: G.-A. Hossein-Zadeh A.-M. Golestani H. Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran Image Analysis Laboratory Radiology Department Henry Ford Health System Detroit MI USA
In this paper, a cluster-based framework is introduced for comparing analysis methods of functional magnetic resonance images (fMRI). In the proposed framework, fMRI data is replaced with a feature space and each meth... 详细信息
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Multiresolution automatic segmentation of T1-weighted brain MR images
Multiresolution automatic segmentation of T1-weighted brain ...
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IEEE International Symposium on Biomedical Imaging
作者: M. Zeydabadi R.A. Zoroofi H. Soltanian-Zadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran Radiology Department Henry Ford Health System Image Analysis and Communications Laboratory Detroit MI USA
Automatic segmentation of brain tissues is crucial to many medical imaging applications. We use a multi-resolution analysis and a power transform to extend the well-known Gaussian mixture model expectation maximizatio... 详细信息
来源: 评论