Machine Learning in Medical Imaging
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Dinggang Shen | Pingkun Yan | Fei Wang | Kenji Suzuki | Daoqiang Zhang | D. Shen | P. Yap | Kenji Suzuki | Pingkun Yan | Manhua Liu | Fei Wang
[1] Stephen C. Strother,et al. Support vector machines for temporal classification of block design fMRI data , 2005, NeuroImage.
[2] Dinggang Shen,et al. COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements , 2007, IEEE Transactions on Medical Imaging.
[3] Christian Keysers,et al. The impact of certain methodological choices on multivariate analysis of fMRI data with support vector machines , 2011, NeuroImage.
[4] Alejandro F. Frangi,et al. Characterizing Pathological Deviations from Normality Using Constrained Manifold-Learning , 2011, MICCAI.
[5] Brian C. Lovell,et al. Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching , 2011, CVPR 2011.
[6] Sharon L. Thompson-Schill,et al. The advantage of brief fMRI acquisition runs for multi-voxel pattern detection across runs , 2012, NeuroImage.
[7] Dinggang Shen,et al. Very High-Resolution Morphometry Using Mass-Preserving Deformations and HAMMER Elastic Registration , 2003, NeuroImage.
[8] Jeremy Freeman,et al. Orientation Decoding Depends on Maps, Not Columns , 2011, The Journal of Neuroscience.
[9] Guang-Zhong Yang,et al. Predictive cardiac motion modeling and correction with partial least squares regression , 2004, IEEE Transactions on Medical Imaging.
[10] R. Bakshi,et al. Fluid-attenuated inversion recovery magnetic resonance imaging detects cortical and juxtacortical multiple sclerosis lesions. , 2001, Archives of neurology.
[11] Daniel Rueckert,et al. A Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development , 2011, IEEE Transactions on Medical Imaging.
[12] Marie Chupin,et al. Automatic classi fi cation of patients with Alzheimer ' s disease from structural MRI : A comparison of ten methods using the ADNI database , 2010 .
[13] Clifford R. Jack,et al. Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies , 2008, NeuroImage.
[14] Dinggang Shen,et al. Hierarchical Anatomical Brain Networks for MCI Prediction: Revisiting Volumetric Measures , 2011, PloS one.
[15] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[16] Colin Studholme,et al. Human brain labeling using image similarities , 2011, CVPR 2011.
[17] Nassir Navab,et al. Natural gradients for deformable registration , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[18] Bogdan Gabrys,et al. Classifier selection for majority voting , 2005, Inf. Fusion.
[19] Dinggang Shen,et al. A General Fast Registration Framework by Learning Deformation–Appearance Correlation , 2012, IEEE Transactions on Image Processing.
[20] Xin Yao,et al. Diversity creation methods: a survey and categorisation , 2004, Inf. Fusion.
[21] Ross T. Whitaker,et al. Manifold modeling for brain population analysis , 2010, Medical Image Anal..
[22] Daoqiang Zhang,et al. Multimodal classification of Alzheimer's disease and mild cognitive impairment , 2011, NeuroImage.
[23] Bernhard Hemmer,et al. An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis , 2012, NeuroImage.
[24] K. Ishii,et al. Voxel-based morphometric comparison between early- and late-onset mild Alzheimer's disease and assessment of diagnostic performance of z score images. , 2005, AJNR. American journal of neuroradiology.
[25] Moo K. Chung,et al. Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset , 2009, NeuroImage.
[26] S. Resnick,et al. Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging , 2008, Neurobiology of Aging.
[27] X. Wu,et al. Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI , 2008, NeuroImage.
[28] Robert P. W. Duin,et al. Dissimilarity-Based Detection of Schizophrenia , 2010, 2010 First Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging.
[29] A. Kouzani,et al. Segmentation of multiple sclerosis lesions in MR images: a review , 2011, Neuroradiology.
[30] Josien P. W. Pluim,et al. Preconditioned Stochastic Gradient Descent Optimisation for Monomodal Image Registration , 2011, MICCAI.
[31] Alan C. Evans,et al. A nonparametric method for automatic correction of intensity nonuniformity in MRI data , 1998, IEEE Transactions on Medical Imaging.
[32] Vladimir Vapnik,et al. Statistical learning theory , 1998 .