Learning Conditional Deformable Shape Templates for Brain Anatomy

[1]  Brian B. Avants,et al.  Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain , 2008, Medical Image Anal..

[2]  Mert R. Sabuncu,et al.  Learning Conditional Deformable Templates with Convolutional Networks , 2019, NeurIPS.

[3]  Mert R. Sabuncu,et al.  Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces , 2019, Medical Image Anal..

[4]  Daniel Rueckert,et al.  Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.

[5]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[6]  Ruzena Bajcsy,et al.  Multiresolution elastic matching , 1989, Comput. Vis. Graph. Image Process..

[7]  Seyed-Ahmad Ahmadi,et al.  V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation , 2016, 2016 Fourth International Conference on 3D Vision (3DV).

[8]  John Ashburner,et al.  A fast diffeomorphic image registration algorithm , 2007, NeuroImage.

[9]  Mert R. Sabuncu,et al.  VoxelMorph: A Learning Framework for Deformable Medical Image Registration , 2018, IEEE Transactions on Medical Imaging.

[10]  Faith M. Gunning-Dixon,et al.  Aging, sexual dimorphism, and hemispheric asymmetry of the cerebral cortex: replicability of regional differences in volume , 2004, Neurobiology of Aging.

[11]  Mert R. Sabuncu,et al.  Discovering Modes of an Image Population through Mixture Modeling , 2008, MICCAI.

[12]  Boudewijn P. F. Lelieveldt,et al.  Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks , 2017, MICCAI.

[13]  Bernard Ng,et al.  Shape Analysis for Brain Structures , 2014 .

[14]  Jean-Philippe Thirion,et al.  Image matching as a diffusion process: an analogy with Maxwell's demons , 1998, Medical Image Anal..

[15]  Alain Trouvé,et al.  Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms , 2005, International Journal of Computer Vision.

[16]  Koenraad Van Leemput,et al.  Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling , 2016, NeuroImage.

[17]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[18]  Nicholas Ayache,et al.  A Log-Euclidean Framework for Statistics on Diffeomorphisms , 2006, MICCAI.

[19]  R. Buckner,et al.  Normative estimates of cross-sectional and longitudinal brain volume decline in aging and AD , 2005, Neurology.

[20]  Max A. Viergever,et al.  End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network , 2017, DLMIA/ML-CDS@MICCAI.

[21]  Cheryl L. Dahle,et al.  Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. , 2005, Cerebral cortex.

[22]  Stephen Pickup,et al.  Characterizing the human hippocampus in aging and Alzheimer’s disease using a computational atlas derived from ex vivo MRI and histology , 2018, Proceedings of the National Academy of Sciences.

[23]  Pradeep Rajagopalan,et al.  Age and sex effects on brain morphology , 1997, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[24]  J. Gabrieli,et al.  Insights into the ageing mind: a view from cognitive neuroscience , 2004, Nature Reviews Neuroscience.

[25]  Randy L. Gollub,et al.  The MCIC Collection: A Shared Repository of Multi-Modal, Multi-Site Brain Image Data from a Clinical Investigation of Schizophrenia , 2013, Neuroinformatics.

[26]  John G. Csernansky,et al.  Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults , 2007, Journal of Cognitive Neuroscience.

[27]  B. Hyman,et al.  Neuropathological alterations in Alzheimer disease. , 2011, Cold Spring Harbor perspectives in medicine.

[28]  Nick C Fox,et al.  The clinical use of structural MRI in Alzheimer disease , 2010, Nature Reviews Neurology.

[29]  Tom Vercauteren,et al.  Diffeomorphic demons: Efficient non-parametric image registration , 2009, NeuroImage.

[30]  Richard M. Leahy,et al.  Surface-based labeling of cortical anatomy using a deformable atlas , 1997, IEEE Transactions on Medical Imaging.

[31]  A. Vita,et al.  Brain morphology in first-episode schizophrenia: A meta-analysis of quantitative magnetic resonance imaging studies , 2006, Schizophrenia Research.

[32]  Paul Suetens,et al.  Unsupervised Segmentation, Clustering, and Groupwise Registration of Heterogeneous Populations of Brain MR Images , 2014, IEEE Transactions on Medical Imaging.

[33]  Michael I. Miller,et al.  Landmark matching via large deformation diffeomorphisms , 2000, IEEE Trans. Image Process..

[34]  Alain Trouvé,et al.  Bayesian template estimation in computational anatomy , 2008, NeuroImage.

[35]  João Manuel R S Tavares,et al.  Medical image registration: a review , 2014, Computer methods in biomechanics and biomedical engineering.

[36]  U. Grenander,et al.  Computational anatomy: an emerging discipline , 1998 .

[37]  Guido Gerig,et al.  Unbiased diffeomorphic atlas construction for computational anatomy , 2004, NeuroImage.