Mahesh B Nagarajan

Summary

Affiliation: University of Rochester
Country: USA

Publications

  1. pmc Computer-aided diagnosis for phase-contrast X-ray computed tomography: quantitative characterization of human patellar cartilage with high-dimensional geometric features
    Mahesh B Nagarajan
    Department of Biomedical Engineering, University of Rochester, 430 Elmwood Ave, Rochester, NY, 14627, USA
    J Digit Imaging 27:98-107. 2014
  2. pmc Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology
    Mahesh B Nagarajan
    Department of Imaging Sciences, University of Rochester, 430 Elmwood Avenue, Rochester, NY 14627, USA Department of Biomedical Engineering, University of Rochester, 430 Elmwood Avenue, Rochester, NY 14627, USA Electronic address
    Artif Intell Med 60:65-77. 2014
  3. pmc Texture feature ranking with relevance learning to classify interstitial lung disease patterns
    Markus B Huber
    Departments of Imaging Sciences and Biomedical Engineering, University of Rochester, NY, United States
    Artif Intell Med 56:91-7. 2012
  4. ncbi request reprint Prediction of biomechanical properties of trabecular bone in MR images with geometric features and support vector regression
    Markus B Huber
    Department of Imaging Sciences, University of Rochester, NY 14627, USA
    IEEE Trans Biomed Eng 58:1820-6. 2011
  5. ncbi request reprint Performance of topological texture features to classify fibrotic interstitial lung disease patterns
    Markus B Huber
    Department of Imaging Sciences, University of Rochester, Rochester, New York 14627, USA
    Med Phys 38:2035-44. 2011

Detail Information

Publications5

  1. pmc Computer-aided diagnosis for phase-contrast X-ray computed tomography: quantitative characterization of human patellar cartilage with high-dimensional geometric features
    Mahesh B Nagarajan
    Department of Biomedical Engineering, University of Rochester, 430 Elmwood Ave, Rochester, NY, 14627, USA
    J Digit Imaging 27:98-107. 2014
    ..Such features could potentially serve as imaging markers for evaluating osteoarthritis progression and its response to different therapeutic intervention strategies. ..
  2. pmc Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology
    Mahesh B Nagarajan
    Department of Imaging Sciences, University of Rochester, 430 Elmwood Avenue, Rochester, NY 14627, USA Department of Biomedical Engineering, University of Rochester, 430 Elmwood Avenue, Rochester, NY 14627, USA Electronic address
    Artif Intell Med 60:65-77. 2014
    ..This compromises the integrity of the independent test set, which serves as the basis for evaluating classifier performance...
  3. pmc Texture feature ranking with relevance learning to classify interstitial lung disease patterns
    Markus B Huber
    Departments of Imaging Sciences and Biomedical Engineering, University of Rochester, NY, United States
    Artif Intell Med 56:91-7. 2012
    ..The generalized matrix learning vector quantization (GMLVQ) is used to estimate the relevance of texture features in their ability to classify interstitial lung disease patterns in high-resolution computed tomography images...
  4. ncbi request reprint Prediction of biomechanical properties of trabecular bone in MR images with geometric features and support vector regression
    Markus B Huber
    Department of Imaging Sciences, University of Rochester, NY 14627, USA
    IEEE Trans Biomed Eng 58:1820-6. 2011
    ..073 MPa). The current study demonstrates that the combination of sophisticated bone structure features and supervised learning techniques can improve MR-based determination of trabecular bone quality...
  5. ncbi request reprint Performance of topological texture features to classify fibrotic interstitial lung disease patterns
    Markus B Huber
    Department of Imaging Sciences, University of Rochester, Rochester, New York 14627, USA
    Med Phys 38:2035-44. 2011
    ....