Matthew Toews

Summary

Affiliation: Harvard University
Country: USA

Publications

  1. pmc Efficient and robust model-to-image alignment using 3D scale-invariant features
    Matthew Toews
    Brigham and Women s Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA Electronic address
    Med Image Anal 17:271-82. 2013
  2. ncbi request reprint A feature-based developmental model of the infant brain in structural MRI
    Matthew Toews
    Brigham and Women s Hospital, Harvard Medical School, USA
    Med Image Comput Comput Assist Interv 15:204-11. 2012
  3. doi request reprint Detection, localization, and sex classification of faces from arbitrary viewpoints and under occlusion
    Matthew Toews
    Department of Radiology, Surgical and Planning Laboratory, Harvard Medical School, Brigham and Women s Hospital, Boston, MA 02115, USA
    IEEE Trans Pattern Anal Mach Intell 31:1567-81. 2009
  4. pmc Bayesian registration via local image regions: information, selection and marginalization
    Matthew Toews
    Brigham and Women s Hospital, Harvard Medical School, USA
    Inf Process Med Imaging 21:435-46. 2009
  5. doi request reprint Feature-based morphometry: discovering group-related anatomical patterns
    Matthew Toews
    Surgical Planning Laboratory, Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, MA 02115, USA
    Neuroimage 49:2318-27. 2010
  6. ncbi request reprint Feature-based morphometry
    Matthew Toews
    Brigham and Women s Hospital, Harvard Medical School, USA
    Med Image Comput Comput Assist Interv 12:109-16. 2009

Detail Information

Publications6

  1. pmc Efficient and robust model-to-image alignment using 3D scale-invariant features
    Matthew Toews
    Brigham and Women s Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA Electronic address
    Med Image Anal 17:271-82. 2013
    ..Experiments on CT human body scans demonstrate FBA as an effective system for automatic human body alignment where other alignment methods break down...
  2. ncbi request reprint A feature-based developmental model of the infant brain in structural MRI
    Matthew Toews
    Brigham and Women s Hospital, Harvard Medical School, USA
    Med Image Comput Comput Assist Interv 15:204-11. 2012
    ..Experiments demonstrate that the model can be used to identify age-related anatomical structure, and to predict the age of new subjects with an average error of 72 days...
  3. doi request reprint Detection, localization, and sex classification of faces from arbitrary viewpoints and under occlusion
    Matthew Toews
    Department of Radiology, Surgical and Planning Laboratory, Harvard Medical School, Brigham and Women s Hospital, Boston, MA 02115, USA
    IEEE Trans Pattern Anal Mach Intell 31:1567-81. 2009
    ..A comparison with support vector machines demonstrates that Bayesian classification results in superior performance...
  4. pmc Bayesian registration via local image regions: information, selection and marginalization
    Matthew Toews
    Brigham and Women s Hospital, Harvard Medical School, USA
    Inf Process Med Imaging 21:435-46. 2009
    ..Experimental results demonstrate the effectiveness of the marginalization formulation and the MI-based region selection technique for ultrasound (US) to magnetic resonance (MR) registration in an image-guided neurosurgical application...
  5. doi request reprint Feature-based morphometry: discovering group-related anatomical patterns
    Matthew Toews
    Surgical Planning Laboratory, Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, MA 02115, USA
    Neuroimage 49:2318-27. 2010
    ..FBM automatically identifies known structural differences between NC and AD subjects in a fully data-driven fashion, and an equal error classification rate of 0.80 is achieved for subjects aged 60-80 years exhibiting mild AD (CDR=1)...
  6. ncbi request reprint Feature-based morphometry
    Matthew Toews
    Brigham and Women s Hospital, Harvard Medical School, USA
    Med Image Comput Comput Assist Interv 12:109-16. 2009
    ..FBM automatically identifies known structural differences between NC and AD subjects in a fully data-driven fashion, and obtains an equal error classification rate of 0.78 on new subjects...