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2010 – 2019
- 2017
[j5]Felipe Gutierrez-Barragan
, Vamsi K. Ithapu, Chris Hinrichs, Camille Maumet, Sterling C. Johnson, Thomas E. Nichols, Vikas Singh:
Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM. NeuroImage 159: 79-98 (2017)- [i2]Felipe Gutierrez-Barragan, Vamsi K. Ithapu, Chris Hinrichs, Camille Maumet, Sterling C. Johnson, Thomas E. Nichols, Vikas Singh:
Accelerating Permutation Testing in Voxel-wise Analysis through Subspace Tracking: A new plugin for SnPM. CoRR abs/1703.01506 (2017) - 2015
- [i1]Chris Hinrichs, Vamsi K. Ithapu, Qinyuan Sun, Sterling C. Johnson, Vikas Singh:
Speeding up Permutation Testing in Neuroimaging. CoRR abs/1502.03536 (2015) - 2014
- [j4]Won Hwa Kim, Vikas Singh, Moo K. Chung, Chris Hinrichs, Deepti Pachauri, Ozioma C. Okonkwo, Sterling C. Johnson:
Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness. NeuroImage 93: 107-123 (2014) - 2013
- [c6]Chris Hinrichs, Vamsi K. Ithapu, Qinyuan Sun, Sterling C. Johnson, Vikas Singh:
Speeding up Permutation Testing in Neuroimaging. NIPS 2013: 890-898 - 2012
- [c5]Chris Hinrichs, Vikas Singh, Jiming Peng, Sterling C. Johnson:
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging. NIPS 2012: 1430-1438 - 2011
- [j3]Chris Hinrichs, Vikas Singh, Guofan Xu, Sterling C. Johnson:
Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population. NeuroImage 55(2): 574-589 (2011) - [j2]Deepti Pachauri, Chris Hinrichs, Moo K. Chung, Sterling C. Johnson, Vikas Singh:
Topology-Based Kernels With Application to Inference Problems in Alzheimer's Disease. IEEE Trans. Medical Imaging 30(10): 1760-1770 (2011) - [c4]Chris Hinrichs, N. Maritza Dowling, Sterling C. Johnson, Vikas Singh:
MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials. MLINI 2011: 124-131 - 2010
- [c3]Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chris Hinrichs:
Learning kernels for variants of normalized cuts: Convex relaxations and applications. CVPR 2010: 3145-3152 - [c2]Kamiya Motwani, Nagesh Adluru, Chris Hinrichs, Andrew L. Alexander, Vikas Singh:
Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures. NIPS 2010: 1696-1704
2000 – 2009
- 2009
- [j1]Chris Hinrichs, Vikas Singh, Lopamudra Mukherjee, Guofan Xu, Moo K. Chung, Sterling C. Johnson:
Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset. NeuroImage 48(1): 138-149 (2009) - [c1]Chris Hinrichs, Vikas Singh, Guofan Xu, Sterling C. Johnson:
MKL for Robust Multi-modality AD Classification. MICCAI (1) 2009: 786-794
Coauthor Index
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