Quantifying Anatomical Shape Variations in Neurological Disorders

Keywords

Artificial intelligence, Computer science, Physical medicine and rehabilitation, Medicine, Computer vision

References

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Cited by

• Probabilistic prediction of Alzheimer's disease from multimodal image data with Gaussian processesYoung Jm — 2015
• Splines for diffeomorphismsNikhil Singh, François-Xavier Vialard, Marc Niethammer — 2015
• Hamiltonian Systems and Optimal Control in Computational Anatomy: 100 Years Since D'Arcy Thompson.Michael I. Miller, Alain Trouvé, Laurent Younès — 2015
• A Feature-based Approach to Big Data Analysis of Medical ImagesMatthew Toews, Christian Wachinger, Raúl San Jośe Estépar — 2015
• Inhibitory effect of sesquiterpene lactones and the sesquiterpene alcohol aromadendrane-4β,10α-diol on memory impairment in a mouse model of Alzheimer.Solomon Kweku Sagoe Amoah, Maria Tereza Dalla Vecchia, Beatriz Pedrini — 2015
• Spatially-Varying Metric Learning for Diffeomorphic Image Registration: A Variational FrameworkFrançois‐Xavier Vialard, Laurent Risser — 2014
• Modeling the brain morphology distribution in the general aging populationWyke Huizinga, Dirk H. J. Poot, Gennady V. Roshchupkin — 2016
• Diffeomorphic registration with self-adaptive spatial regularization for the segmentation of non-human primate brainsLaurent Risser, Lionel Dolius, Caroline Fonta — 2014
• Learning Biomarker Models for Progression Estimation of Alzheimer’s DiseaseAlexander Schmidt-Richberg, Christian Ledig, Ricardo Guerrero — 2016
• A statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aortafor the Modeling of Congenital Hearts Alliance (MOCHA) Collaborative Group, Jan L. Bruse, Kristin McLeod — 2016
• KERNEL PARTIAL LEAST SQUARES REGRESSION FOR RELATING FUNCTIONAL BRAIN NETWORK TOPOLOGY TO CLINICAL MEASURES OF BEHAVIOREleanor Wong, Sourabh Palande, Bei Wang — 2016
• Identifying Associations between Vascular Risk Factors and Measures of Brain Health using Multimodal Magnetic Resonance ImagingEkaterina Tchistiakova — 2016
• Hierarchical spectral clustering of MRI for global-to-local shape analysis: Applied to brain variations in Alzheimer's diseaseDorothy Gors, Paul Suetens, Rik Vandenberghe — 2017
• Recent publications from the Alzheimer’s Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trialsMichael W. Weiner, Dallas P. Veitch, Paul Aisen — 2017
• A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal is Abnormal?JL Bruse, Kristin McLeod, Giovanni Biglino — 2015
• Statistical Atlases and Computational Models of the Heart. Imaging and Modelling ChallengesÓscar Cámara, Tommaso Mansi, Mihaela Pop — 2015
• A spatio‐temporal reference model of the aging brainWyke Huizinga, Dirk H. J. Poot, Meike W. Vernooij — 2018
• Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysisEnrico Pellegrini, Lucia Ballerini, María del C. Valdés Hernández — 2018
• Segmentation and clustering in brain MRI imagingGolrokh Mirzaei, Hojjat Adeli — 2018
• Voxel-Based Morphometry: Improving the Diagnosis of Alzheimer's Disease Based on an Extreme Learning Machine Method from the ADNI cohort.Feng Zhang, Sijia Tian, Sipeng Chen — 2019

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