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检索条件"机构=Penn Image Computing and Science Laboratory and Department of Bioengineering"
56 条 记 录,以下是1-10 订阅
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White matter hyperintensities are more highly associated with preclinical Alzheimer's disease than imaging and cognitive markers of neurodegeneration
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Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring 2016年 4卷 18-27页
作者: Kandel, Benjamin M. Avants, Brian B. Gee, James C. McMillan, Corey T. Erus, Guray Doshi, Jimit Davatzikos, Christos Wolk, David A. Penn Image Computing and Science Laboratory and Department of Bioengineering University of Pennsylvania Philadelphia PA United States Penn Image Computing and Science Laboratory and Department of Radiology Perelman School of Medicine University of Pennsylvania Philadelphia PA United States Department of Neurology Perelman School of Medicine University of Pennsylvania Philadelphia PA United States Center for Biomedical Image Computing and Analytics University of Pennsylvania Philadelphia PA United States
Introduction: Cognitive tests and nonamyloid imaging biomarkers do not consistently identify preclinical AD. The objective of this study was to evaluate whether white matter hyperintensity (WMH) volume, a cerebrovascu... 详细信息
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Tensor-Based Morphometry of Fibrous Structures with Application to Human Brain White Matter
Tensor-Based Morphometry of Fibrous Structures with Applicat...
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12th International Conference on Medical image computing and Computer-Assisted Intervention (MICCAI2009)
作者: Zhang, Hui Yushkevich, Paul A. Rueckert, Daniel Gee, James C. Penn Image Computing and Science Laboratory (PICSL) Department of Radiology University of Pennsylvania United States Department of Computing Imperial College London London United Kingdom
Tensor-based morphometry (TBM) is a powerful approach for examining shape changes in anatomy both across populations and in time. Our work extends the standard TBM for quantifying local volumetric changes to establish... 详细信息
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Spatial bias in multi-atlas based segmentation
Spatial bias in multi-atlas based segmentation
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Hongzhi Wang Paul A. Yushkevich Penn Image Computing and Science Laboratory Department of Radiology University of Pennsylvania USA
Multi-atlas segmentation has been widely applied in medical image analysis. With deformable registration, this technique realizes label transfer from pre-labeled atlases to unknown images. When deformable registration... 详细信息
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Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrum
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Translational Neurodegeneration 2023年 第1期12卷 50-69页
作者: Ting Shen Jacob W.Vogel Jeffrey Duda Jeffrey S.Phillips Philip ACook James Gee Lauren Elman Colin Quinn Defne A.Amado Michael Baer Lauren Massimo Murray Grossman David J.Irwin Corey T.McMillan Penn Frontotemporal Degeneration Center Department of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA 19104USA Department of Clinical Sciences SciLifeLabLund University22242 LundSweden Penn Image Computing and Science Lab(PICSL) Department of RadiologyPerelman School of MedicineUniversity of Penn-sylvaniaPhiladelphiaPA 19104USA Department of Neurology Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA 19104USA Digital Neuropathology Laboratory Department of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA 19104USA.
Background TDP-43 proteinopathies represent a spectrum of neurological disorders,anchored clinically on either end by amyotrophic lateral sclerosis(ALS)and frontotemporal degeneration(FTD).The ALS-FTD spectrum exhibit... 详细信息
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Domain Generalizer: A few-shot meta learning framework for domain generalization in medical imaging
arXiv
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arXiv 2020年
作者: Khandelwal, Pulkit Yushkevich, Paul Department of Bioengineering University of Pennsylvania PhiladelphiaPA United States Penn Image Computing and Science Laboratory Department of Radiology University of Pennsylvania PhiladelphiaPA United States
Deep learning models perform best when tested on target (test) data domains whose distribution is similar to the set of source (train) domains. However, model generalization can be hindered when there is significant d... 详细信息
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Reconstruction of the human hippocampus in 3D from histology and high-resolution ex-vivo MRI
Reconstruction of the human hippocampus in 3D from histology...
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IEEE International Symposium on Biomedical Imaging
作者: Daniel H. Adler Alex Yang Liu John Pluta Salmon Kadivar Sylvia Orozco Hongzhi Wang James C. Gee Brian B. Avants Paul A. Yushkevich Penn Image Computing and Science Laboratory Department of Radiology University of Pennsylvania Philadelphia PA USA
In this paper, we present methods for the reconstruction of 3D histological volumes of the human hippocampal formation from histology slices. Inter-slice alignment is guided by a graph-theoretic approach that minimize... 详细信息
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"Nonparametric Local Smoothing" is not image registration
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BMC Research Notes 2012年 第1期5卷 1-5页
作者: Rohlfing, Torsten Avants, Brian Neuroscience Program SRI International Menlo Park CA 94025 333 Ravenswood Avenue United States Penn Image Computing and Science Laboratory (PICSL) Department of Radiology University of Pennsylvania School of Medicine Philadelphia PA 19104 United States
Background: image registration is one of the most important and universally useful computational tasks in biomedical image analysis. A recent article by Xing & Qiu (IEEE Transactions on Pattern Analysis and Machin... 详细信息
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Enhanced generative adversarial network for 3D brain MRI super-resolution
Enhanced generative adversarial network for 3D brain MRI sup...
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IEEE Workshop on Applications of Computer Vision (WACV)
作者: Jiancong Wang Yuhua Chen Yifan Wu Jianbo Shi James Gee Penn Image Computing and Science Laboratory University of Pennsylvania Philadelphia PA USA Department of Bioengineering University of California Los Angeles CA USA Department of Computer and Information Science University of Pennsylvania Philadelphia PA USA
Single image super-resolution (SISR) reconstruction for magnetic resonance imaging (MRI) has generated significant interest because of its potential to not only speed up imaging but to improve quantitative processing ... 详细信息
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NON-UNIFORM SMOOTHING IN HIPPOCAMPUS-SPECIFIC GROUP FMRI ANALYSIS
NON-UNIFORM SMOOTHING IN HIPPOCAMPUS-SPECIFIC GROUP FMRI ANA...
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IEEE International Symposium on Biomedical Imaging
作者: Paul A. Yushkevich John A. Detre James C. Gee Department of Radiology Penn Image Computing and Science Laboratory USA Center for Functional Neuroimaging Departments of Neurology and Radiology University of Pennsylvania Philadelphia PA USA
A framework for generating group-level statistical maps of functional activation in the hippocampus is presented. It aims to maximize the sensitivity and specificity of hippocampal maps by using a deformable model to ... 详细信息
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Enhanced generative adversarial network for 3D brain MRI super-resolution
arXiv
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arXiv 2019年
作者: Wang, Jiancong Chen, Yuhua Wu, Yifan Shi, Jianbo Gee, James Penn Image Computing and Science Laboratory University of Pennsylvania PhiladelphiaPA19104 United States Department of Bioengineering University of California Los AngelesCA90095 United States Department of Computer and Information Science University of Pennsylvania PhiladelphiaPA19104 United States
Single image super-resolution (SISR) reconstruction for magnetic resonance imaging (MRI) has generated significant interest because of its potential to not only speed up imaging but to improve quantitative processing ... 详细信息
来源: 评论