Nematollah Batmanghelich

Summary

Affiliation: University of Pennsylvania
Country: USA

Publications

  1. ncbi A general and unifying framework for feature construction, in image-based pattern classification
    Nematollah Batmanghelich
    Section of Biomedical Image Analysis, Radiology Department, University of Pennsylvania, Philadelphia, PA 19014, USA
    Inf Process Med Imaging 21:423-34. 2009
  2. ncbi Regularized tensor factorization for multi-modality medical image classification
    Nematollah Batmanghelich
    Section for Biomedical Image Analysis, Suite 380, 3600 Market St, 19104 Philadelphia, USA
    Med Image Comput Comput Assist Interv 14:17-24. 2011
  3. ncbi Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline
    Yong Fan
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, School of Medicine, Philadelphia, PA 19104, USA
    Neuroimage 39:1731-43. 2008

Detail Information

Publications3

  1. ncbi A general and unifying framework for feature construction, in image-based pattern classification
    Nematollah Batmanghelich
    Section of Biomedical Image Analysis, Radiology Department, University of Pennsylvania, Philadelphia, PA 19014, USA
    Inf Process Med Imaging 21:423-34. 2009
    ..A non-negative matrix factorization scheme is used, and a numerical solution with proven convergence is used for solution. Results in classification of Alzheimers patients from the ADNI study are presented...
  2. ncbi Regularized tensor factorization for multi-modality medical image classification
    Nematollah Batmanghelich
    Section for Biomedical Image Analysis, Suite 380, 3600 Market St, 19104 Philadelphia, USA
    Med Image Comput Comput Assist Interv 14:17-24. 2011
    ..We compared this method with a publically available classification software based on SVM that has shown state-of-the-art classification rate in number of publications...
  3. ncbi Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline
    Yong Fan
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, School of Medicine, Philadelphia, PA 19104, USA
    Neuroimage 39:1731-43. 2008
    ....