Chris Hinrichs - Concepedia

Concepedia

Author

Chris Hinrichs

University of Wisconsin–Madison

Also Known As

C. Hinrichs, Chris Hinrichs, Hinrichs, Chris

17

Publications

1.1K

Citations

9

H-Index

32

Concepts

All Affiliations

University of Wisconsin–Madison William S. Middleton Memorial Veterans Hospital Geriatric Research Education and Clinical Center Alzheimer’s Disease Neuroimaging Initiative

CH

About

Chris Hinrichs is an author at University of Wisconsin–Madison specializing in engineering, image analysis, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	449
2	Biostatistics	3	3	651
3	Social Sciences	2	2	128
4	Medicine	1	1	407
5	Public Health	1	1	407

Chris Hinrichs

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9

Publications

1.1K

Citations

9

H-Index

	Year	Citations
Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population Chris Hinrichs, Vikas Singh, Guofan Xu, NeuroImage Genotype-phenotype AssociationGeneticsMulti-modality FrameworkGenetic EpidemiologyPolygenic Risk	2010	407
Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset Chris Hinrichs, Vikas Singh, Lopamudra Mukherjee, NeuroImage Data ClassificationClassification MethodImage AnalysisMachine LearningData Science	2009	223
Amyloid-β <sup>11</sup> C-PiB-PET imaging results from 2 randomized bapineuzumab phase 3 AD trials Enchi Liu, Mark E. Schmidt, Richard Margolin, Neurology	2015	149
Topology-Based Kernels With Application to Inference Problems in Alzheimer's Disease Deepti Pachauri, Chris Hinrichs, Moo K. Chung, IEEE Transactions on Medical Imaging EngineeringMachine LearningKernel MatricesSocial SciencesSupport Vector Machine	2011	107
Extracting and summarizing white matter hyperintensities using supervised segmentation methods in Alzheimer's disease risk and aging studies Vamsi Krishna Ithapu, Vikas Singh, Christopher Lindner, Human Brain Mapping	2014	89
MKL for Robust Multi-modality AD Classification Chris Hinrichs, Vikas Singh, Guofan Xu, Lecture notes in computer science Image AnalysisMachine LearningData ScienceEngineeringPattern Recognition	2009	71
Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness Won Hwa Kim, Vikas Singh, Moo K. Chung, NeuroImage Image AnalysisEngineeringNeuroimaging ModalityMulti-resolutional Shape FeaturesStatistical Shape Analysis	2014	27
Classification in DTI using shapes of white matter tracts Nagesh Adluru, Chris Hinrichs, Moo K. Chung, EngineeringWhite MatterBrain MappingSocial SciencesBrain White Matter	2009	21
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging. Chris Hinrichs, Vikas Singh, Jiming Peng, PubMed	2012	18

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