Vikas Singh

Summary

Affiliation: University of Wisconsin
Country: USA

Publications

  1. pmc Ensemble Clustering using Semidefinite Programming with Applications
    Vikas Singh
    Department of Biostatistics and Medical Informatics, University of Wisconsin Madison
    Mach Learn 79:177-200. 2010
  2. ncbi request reprint Cortical surface thickness as a classifier: boosting for autism classification
    Vikas Singh
    Biostatistics and Medical Informatics, University of Wisconsin Madison, USA
    Med Image Comput Comput Assist Interv 11:999-1007. 2008
  3. pmc MKL for robust multi-modality AD classification
    Chris Hinrichs
    Dept of Computer Sciences, University of Wisconsin Madison, USA
    Med Image Comput Comput Assist Interv 12:786-94. 2009
  4. pmc Predictive markers for AD in a multi-modality framework: an analysis of MCI progression in the ADNI population
    Chris Hinrichs
    Department of Computer Sciences, University of Wisconsin Madison, Madison, WI 53706, USA
    Neuroimage 55:574-89. 2011
  5. ncbi request reprint Topological characterization of signal in brain images using min-max diagrams
    Moo K Chung
    Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI 53706, USA
    Med Image Comput Comput Assist Interv 12:158-66. 2009
  6. pmc An experimental evaluation of diffusion tensor image segmentation using graph-cuts
    Deok Han
    Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin Madison, WI, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:5653-6. 2009
  7. pmc Topology-based kernels with application to inference problems in Alzheimer's disease
    Deepti Pachauri
    Alzheimer s Disease Neuroimaging Initiative and Department of Computer Sciences, University of Wisconsin Madison, Madison, WI 53706, USA
    IEEE Trans Med Imaging 30:1760-70. 2011
  8. pmc Classification in DTI using shapes of white matter tracts
    Nagesh Adluru
    Dept of Psychology, Brigham Young Univ, UT, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:2719-22. 2009
  9. pmc Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset
    Chris Hinrichs
    Department of Computer Sciences, University of Wisconsin Madison, Madison, WI 53706, USA
    Neuroimage 48:138-49. 2009
  10. pmc Imaging-based enrichment criteria using deep learning algorithms for efficient clinical trials in mild cognitive impairment
    Vamsi K Ithapu
    Department of Computer Sciences, University of Wisconsin Madison, Madison, WI, USA Wisconsin Alzheimer s Disease Research Center, University of Wisconsin Madison, Madison, WI, USA Electronic address
    Alzheimers Dement 11:1489-99. 2015

Detail Information

Publications10

  1. pmc Ensemble Clustering using Semidefinite Programming with Applications
    Vikas Singh
    Department of Biostatistics and Medical Informatics, University of Wisconsin Madison
    Mach Learn 79:177-200. 2010
    ..These include combining multiple image segmentations and generating tissue maps from multiple-channel Diffusion Tensor brain images to identify the underlying structure of the brain...
  2. ncbi request reprint Cortical surface thickness as a classifier: boosting for autism classification
    Vikas Singh
    Biostatistics and Medical Informatics, University of Wisconsin Madison, USA
    Med Image Comput Comput Assist Interv 11:999-1007. 2008
    ..As a result, we obtain not just a label {+1, -1} for test items, but also an indication of the "discriminative regions" on the cortical surface. We discuss the formulation and present interesting experimental results...
  3. pmc MKL for robust multi-modality AD classification
    Chris Hinrichs
    Dept of Computer Sciences, University of Wisconsin Madison, USA
    Med Image Comput Comput Assist Interv 12:786-94. 2009
    ..We present promising multi-modal classification experiments on a large dataset of images from the ADNI project...
  4. pmc Predictive markers for AD in a multi-modality framework: an analysis of MCI progression in the ADNI population
    Chris Hinrichs
    Department of Computer Sciences, University of Wisconsin Madison, Madison, WI 53706, USA
    Neuroimage 55:574-89. 2011
    ..These differences were most significant in MMDMs based on imaging data. We also discuss the relationship between our MMDM and an individual's conversion from MCI to AD...
  5. ncbi request reprint Topological characterization of signal in brain images using min-max diagrams
    Moo K Chung
    Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI 53706, USA
    Med Image Comput Comput Assist Interv 12:158-66. 2009
    ..As an application, we have used this method to characterize cortical thickness measures along brain surfaces in classifying autistic subjects. Our promising experimental results provide evidence of the power of this representation...
  6. pmc An experimental evaluation of diffusion tensor image segmentation using graph-cuts
    Deok Han
    Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin Madison, WI, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:5653-6. 2009
    ..Overall, the graph cuts method performed well, giving an average segmentation accuracy of about 0.90, 0.77 and 0.88 for WM, GM and CSF respectively in terms of volume overlap(VO)...
  7. pmc Topology-based kernels with application to inference problems in Alzheimer's disease
    Deepti Pachauri
    Alzheimer s Disease Neuroimaging Initiative and Department of Computer Sciences, University of Wisconsin Madison, Madison, WI 53706, USA
    IEEE Trans Med Imaging 30:1760-70. 2011
    ....
  8. pmc Classification in DTI using shapes of white matter tracts
    Nagesh Adluru
    Dept of Psychology, Brigham Young Univ, UT, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:2719-22. 2009
    ....
  9. pmc Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset
    Chris Hinrichs
    Department of Computer Sciences, University of Wisconsin Madison, Madison, WI 53706, USA
    Neuroimage 48:138-49. 2009
    ....
  10. pmc Imaging-based enrichment criteria using deep learning algorithms for efficient clinical trials in mild cognitive impairment
    Vamsi K Ithapu
    Department of Computer Sciences, University of Wisconsin Madison, Madison, WI, USA Wisconsin Alzheimer s Disease Research Center, University of Wisconsin Madison, Madison, WI, USA Electronic address
    Alzheimers Dement 11:1489-99. 2015
    ....