| Predictive markers for AD in a multi-modality framework: an analysis of MCI progression in the ADNI population C Hinrichs, V Singh, G Xu, SC Johnson, ... Neuroimage 55 (2), 574-589, 2011 | 460 | 2011 |
| Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset C Hinrichs, V Singh, L Mukherjee, G Xu, MK Chung, SC Johnson, ... Neuroimage 48 (1), 138-149, 2009 | 247 | 2009 |
| Topology-based kernels with application to inference problems in Alzheimer's disease D Pachauri, C Hinrichs, MK Chung, SC Johnson, V Singh IEEE transactions on medical imaging 30 (10), 1760-1770, 2011 | 115 | 2011 |
| Extracting and summarizing white matter hyperintensities using supervised segmentation methods in Alzheimer's disease risk and aging studies V Ithapu, V Singh, C Lindner, BP Austin, C Hinrichs, CM Carlsson, ... Human brain mapping 35 (8), 4219-4235, 2014 | 90 | 2014 |
| MKL for robust multi-modality AD classification C Hinrichs, V Singh, G Xu, S Johnson Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009 | 88 | 2009 |
| Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness WH Kim, V Singh, MK Chung, C Hinrichs, D Pachauri, OC Okonkwo, ... NeuroImage 93, 107-123, 2014 | 36 | 2014 |
| Q-mkl: Matrix-induced regularization in multi-kernel learning with applications to neuroimaging C Hinrichs, V Singh, J Peng, S Johnson Advances in neural information processing systems 25, 2012 | 29 | 2012 |
| Classification in DTI using shapes of white matter tracts N Adluru, C Hinrichs, MK Chung, JE Lee, V Singh, ED Bigler, N Lange, ... 2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009 | 27 | 2009 |
| Alzheimers Disease Neuroimaging Initiative Predictive markers for AD in a multi-modality framework: an analysis of MCI progression in the ADNI population C Hinrichs, V Singh, G Xu, SC Johnson Neuroimage 55 (2), 574-589, 2011 | 22 | 2011 |
| MKL-based sample enrichment and customized outcomes enable smaller AD clinical trials C Hinrichs, NM Dowling, SC Johnson, V Singh Machine Learning and Interpretation in Neuroimaging: International Workshop …, 2012 | 14* | 2012 |
| Learning kernels for variants of normalized cuts: Convex relaxations and applications L Mukherjee, V Singh, J Peng, C Hinrichs 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 10 | 2010 |
| Speeding up permutation testing in neuroimaging C Hinrichs, VK Ithapu, Q Sun, SC Johnson, V Singh Advances in neural information processing systems 26, 2013 | 7 | 2013 |
| Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures K Motwani, N Adluru, C Hinrichs, A Alexander, V Singh Advances in neural information processing systems 23, 2010 | 6 | 2010 |
| Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM F Gutierrez-Barragan, VK Ithapu, C Hinrichs, C Maumet, SC Johnson, ... Neuroimage 159, 79-98, 2017 | 4 | 2017 |
| IC‐P‐172: Extracting white matter hyperintensities in Alzheimer's disease risk and aging studies using supervised segmentation methods V Ithapu, V Singh, B Austin, C Hinrichs, C Carlsson, B Bendlin, S Johnson Alzheimer's & Dementia 9, P99-P100, 2013 | | 2013 |
| Design Challenge: Approaches to Visualizing Epistemic Frameworks C Hinrichs, N Vack, D Albers | | |
| SVM-based Markers Yield Outcome Measures for Neuroimaging Clinical Trials of Alzheimer¢s Disease C Hinrichs, M Chung, S Johnson, V Singh | | |
Vikas SinghUniversity of Wisconsin MadisonVerified email at biostat.wisc.edu
