Ender Konukoglu

Summary

Publications

  1. doi request reprint Neighbourhood approximation using randomized forests
    Ender Konukoglu
    Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School, MA 02129, USA
    Med Image Anal 17:790-804. 2013
  2. doi request reprint Efficient probabilistic model personalization integrating uncertainty on data and parameters: Application to eikonal-diffusion models in cardiac electrophysiology
    Ender Konukoglu
    Microsoft Research Cambridge, UK
    Prog Biophys Mol Biol 107:134-46. 2011
  3. ncbi request reprint Neighbourhood approximation forests
    Ender Konukoglu
    Microsoft Research Cambridge, USA
    Med Image Comput Comput Assist Interv 15:75-82. 2012
  4. ncbi request reprint Decision forests for tissue-specific segmentation of high-grade gliomas in multi-channel MR
    Darko Zikic
    Microsoft Research Cambridge, UK
    Med Image Comput Comput Assist Interv 15:369-76. 2012
  5. doi request reprint WESD--Weighted Spectral Distance for measuring shape dissimilarity
    Ender Konukoglu
    Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School, Cambridge, MA 02144, USA
    IEEE Trans Pattern Anal Mach Intell 35:2284-97. 2013

Detail Information

Publications5

  1. doi request reprint Neighbourhood approximation using randomized forests
    Ender Konukoglu
    Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School, MA 02129, USA
    Med Image Anal 17:790-804. 2013
    ..The results demonstrate the performance, computational benefits, and potential of NAF for different image analysis applications. ..
  2. doi request reprint Efficient probabilistic model personalization integrating uncertainty on data and parameters: Application to eikonal-diffusion models in cardiac electrophysiology
    Ender Konukoglu
    Microsoft Research Cambridge, UK
    Prog Biophys Mol Biol 107:134-46. 2011
    ..Such uncertainty handling can be pivotal for the proper use of modeling as a clinical tool, because there is a crucial requirement to know the confidence one can have in personalized models...
  3. ncbi request reprint Neighbourhood approximation forests
    Ender Konukoglu
    Microsoft Research Cambridge, USA
    Med Image Comput Comput Assist Interv 15:75-82. 2012
    ..The experiments show NAF's approximation quality, computational advantages and use in different contexts...
  4. ncbi request reprint Decision forests for tissue-specific segmentation of high-grade gliomas in multi-channel MR
    Darko Zikic
    Microsoft Research Cambridge, UK
    Med Image Comput Comput Assist Interv 15:369-76. 2012
    ..We assess the effects of using DTI, and varying the amount of training data. Our segmentation results are highly accurate, and compare favorably to the state of the art...
  5. doi request reprint WESD--Weighted Spectral Distance for measuring shape dissimilarity
    Ender Konukoglu
    Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School, Cambridge, MA 02144, USA
    IEEE Trans Pattern Anal Mach Intell 35:2284-97. 2013
    ..Last, experiments conducted on synthetic and real objects are presented. These experiments highlight the practical benefits of WESD for applications in vision and medical image analysis...