Tal Arbel

Summary

Affiliation: McGill University
Country: Canada

Publications

  1. ncbi request reprint Automatic non-linear MRI-ultrasound registration for the correction of intra-operative brain deformations
    Tal Arbel
    Department of Electrical and Computer Engineering, Centre for Intelligent Machines, McGill University, Montreal, Quebec, Canada
    Comput Aided Surg 9:123-36. 2004
  2. doi request reprint Automatic detection of gadolinium-enhancing multiple sclerosis lesions in brain MRI using conditional random fields
    Zahra Karimaghaloo
    Centre for Intelligent Machines, McGill University, Montreal, QC H3A 2A7, Canada
    IEEE Trans Med Imaging 31:1181-94. 2012
  3. ncbi request reprint Adaptive voxel, texture and temporal conditional random fields for detection of Gad-enhancing multiple sclerosis lesions in brain MRI
    Zahra Karimaghaloo
    Centre for Intelligent Machines, McGill University, Canada
    Med Image Comput Comput Assist Interv 16:543-50. 2013
  4. ncbi request reprint Hierarchical conditional random fields for detection of gad-enhancing lesions in multiple sclerosis
    Zahra Karimaghaloo
    Centre for Intelligent Machines, McGill University, Canada
    Med Image Comput Comput Assist Interv 15:379-86. 2012
  5. ncbi request reprint Detection of Gad-enhancing lesions in multiple sclerosis using conditional random fields
    Zahra Karimaghaloo
    Centre for Intelligent Machines, McGill University, Canada
    Med Image Comput Comput Assist Interv 13:41-8. 2010
  6. ncbi request reprint Hierarchical multimodal image registration based on adaptive local mutual information
    Dante De Nigris
    McGill University, Centre for Intelligent Machines
    Med Image Comput Comput Assist Interv 13:643-51. 2010
  7. ncbi request reprint Bayesian classification of multiple sclerosis lesions in longitudinal MRI using subtraction images
    Colm Elliott
    Centre for Intelligent Machines, McGill University, Canada
    Med Image Comput Comput Assist Interv 13:290-7. 2010
  8. ncbi request reprint Hierarchical probabilistic Gabor and MRF segmentation of brain tumours in MRI volumes
    Nagesh K Subbanna
    Centre for Intelligent Machines, McGill University, Canada
    Med Image Comput Comput Assist Interv 16:751-8. 2013
  9. doi request reprint Evaluating intensity normalization on MRIs of human brain with multiple sclerosis
    Mohak Shah
    Centre for Intelligent Machines, McGill University, Montreal, Canada
    Med Image Anal 15:267-82. 2011
  10. doi request reprint Fast rigid registration of pre-operative magnetic resonance images to intra-operative ultrasound for neurosurgery based on high confidence gradient orientations
    Dante De Nigris
    Centre for Intelligent Machines, McGill University, Montreal, QC, H3A 0E9, Canada
    Int J Comput Assist Radiol Surg 8:649-61. 2013

Detail Information

Publications20

  1. ncbi request reprint Automatic non-linear MRI-ultrasound registration for the correction of intra-operative brain deformations
    Tal Arbel
    Department of Electrical and Computer Engineering, Centre for Intelligent Machines, McGill University, Montreal, Quebec, Canada
    Comput Aided Surg 9:123-36. 2004
    ..In this paper, we explore the use of acquiring intra-operative ultrasound (US) images for the quantification of and correction for non-linear brain deformations...
  2. doi request reprint Automatic detection of gadolinium-enhancing multiple sclerosis lesions in brain MRI using conditional random fields
    Zahra Karimaghaloo
    Centre for Intelligent Machines, McGill University, Montreal, QC H3A 2A7, Canada
    IEEE Trans Med Imaging 31:1181-94. 2012
    ..The results demonstrate superior performance of the proposed algorithm at successfully detecting all of the gadolinium-enhancing lesions while maintaining a low false positive lesion count...
  3. ncbi request reprint Adaptive voxel, texture and temporal conditional random fields for detection of Gad-enhancing multiple sclerosis lesions in brain MRI
    Zahra Karimaghaloo
    Centre for Intelligent Machines, McGill University, Canada
    Med Image Comput Comput Assist Interv 16:543-50. 2013
    ..77. Moreover, the temporal AMCRF results show the same sensitivity as the AMCRF model while decreasing the FP counts by 22%...
  4. ncbi request reprint Hierarchical conditional random fields for detection of gad-enhancing lesions in multiple sclerosis
    Zahra Karimaghaloo
    Centre for Intelligent Machines, McGill University, Canada
    Med Image Comput Comput Assist Interv 15:379-86. 2012
    ..The experimental results show a sensitivity of 98%, a positive predictive value of 66% and an average false positive count of 1.55, outperforming the CRF and MRF frameworks proposed in...
  5. ncbi request reprint Detection of Gad-enhancing lesions in multiple sclerosis using conditional random fields
    Zahra Karimaghaloo
    Centre for Intelligent Machines, McGill University, Canada
    Med Image Comput Comput Assist Interv 13:41-8. 2010
    ..8 when comparing to Linear Discriminant Analysis (LDA) and 1.6 comparing to a Markov Random Field (MRF) classifier...
  6. ncbi request reprint Hierarchical multimodal image registration based on adaptive local mutual information
    Dante De Nigris
    McGill University, Centre for Intelligent Machines
    Med Image Comput Comput Assist Interv 13:643-51. 2010
    ..CT/MRI) brain image registration tasks. Furthermore, it shows significant improvements in terms of mTRE over standard methods in the highly challenging clinical context of registering pre-operative brain MRI to intra-operative US images...
  7. ncbi request reprint Bayesian classification of multiple sclerosis lesions in longitudinal MRI using subtraction images
    Colm Elliott
    Centre for Intelligent Machines, McGill University, Canada
    Med Image Comput Comput Assist Interv 13:290-7. 2010
    ..The proposed method is shown to identify MS lesions in longitudinal MRI with a high degree of precision while remaining sensitive to lesion activity...
  8. ncbi request reprint Hierarchical probabilistic Gabor and MRF segmentation of brain tumours in MRI volumes
    Nagesh K Subbanna
    Centre for Intelligent Machines, McGill University, Canada
    Med Image Comput Comput Assist Interv 16:751-8. 2013
    ..Our method performs well compared to state-of-the-art techniques, outperforming the results of the top methods in cases of clinical high grade and low grade tumour core segmentation by 40% and 45% respectively...
  9. doi request reprint Evaluating intensity normalization on MRIs of human brain with multiple sclerosis
    Mohak Shah
    Centre for Intelligent Machines, McGill University, Montreal, Canada
    Med Image Anal 15:267-82. 2011
    ..In all relevant cases, the observed results are verified for statistical relevance using significance tests...
  10. doi request reprint Fast rigid registration of pre-operative magnetic resonance images to intra-operative ultrasound for neurosurgery based on high confidence gradient orientations
    Dante De Nigris
    Centre for Intelligent Machines, McGill University, Montreal, QC, H3A 0E9, Canada
    Int J Comput Assist Radiol Surg 8:649-61. 2013
    ..We present a novel approach for the registration of pre-operative magnetic resonance images to intra-operative ultrasound images for the context of image-guided neurosurgery...
  11. doi request reprint Temporally consistent probabilistic detection of new multiple sclerosis lesions in brain MRI
    Colm Elliott
    Centre for Intelligent Machines, McGill University, Montreal, QC, H3A 0E9 Canada
    IEEE Trans Med Imaging 32:1490-503. 2013
    ..The proposed method was also shown to exceed the performance of any one of the nine expert manual identifications. ..
  12. ncbi request reprint Measurement selection in untracked freehand 3D ultrasound
    Catherine Laporte
    Dept of Electrical Engineering, Ecole de technologie superieure, Montreal, Canada
    Med Image Comput Comput Assist Interv 13:127-34. 2010
    ..In experiments with imagery of animal tissue, the approach yields significant accuracy improvements over alternatives which do not apply principled measurement selection...
  13. doi request reprint Multi-modal image registration based on gradient orientations of minimal uncertainty
    Dante De Nigris
    Centre for Intelligent Machines, McGill University, Montreal, QC, H3A 0E9 Canada
    IEEE Trans Med Imaging 31:2343-54. 2012
    ....
  14. doi request reprint Learning to estimate out-of-plane motion in ultrasound imagery of real tissue
    Catherine Laporte
    Centre for Intelligent Machines, McGill University, 3480 University Street, Montreal, QC, Canada H3A 2A7
    Med Image Anal 15:202-13. 2011
    ..The proposed approach better lends itself to improvement through the creation of more realistic training sets...
  15. ncbi request reprint Maximum a posteriori local histogram estimation for image registration
    Matthew Toews
    Center for Intelligent Machines, McGill University, Montreal, Canada
    Med Image Comput Comput Assist Interv 8:163-70. 2005
    ....
  16. ncbi request reprint A statistical parts-based appearance model of inter-subject variability
    Matthew Toews
    Centre for Intelligent Machines, McGili University, Montreal, Canada
    Med Image Comput Comput Assist Interv 9:232-40. 2006
    ..Preliminary results indicate that the model can be used to automatically identify distinctive features for inter-subject image registration despite large changes in appearance...
  17. doi request reprint Combinatorial and probabilistic fusion of noisy correlation measurements for untracked freehand 3-D ultrasound
    Catherine Laporte
    Centre for Intelligent Machines, 3480 University Street, McGill University, Montreal, QC H3A 2A7, Canada
    IEEE Trans Med Imaging 27:984-94. 2008
    ..Experiments with real and synthetic US data show that by combining these new methods, out-of-plane US probe motion is recovered with improved accuracy over baseline methods using a deterministic model and fewer measurements...
  18. ncbi request reprint Probabilistic speckle decorrelation for 3D ultrasound
    Catherine Laporte
    Centre for Intelligent Machines, McGill University, Montreal, Canada
    Med Image Comput Comput Assist Interv 10:925-32. 2007
    ..The approach is shown to be effective through empirical results on simulated and phantom US data...
  19. ncbi request reprint A statistical parts-based model of anatomical variability
    Matthew Toews
    Centre for Intelligent Machines, McGill University, Montreal, QC H3A 2A7, Canada
    IEEE Trans Med Imaging 26:497-508. 2007
    ..Additionally, it is shown that unlike global models such as the AAM, PBM fitting is stable in the presence of unexpected, local perturbation...
  20. ncbi request reprint Deformable ultrasound registration without reconstruction
    Rupert Brooks
    McGill University, Centre for Intelligent Machines
    Med Image Comput Comput Assist Interv 11:1023-31. 2008
    ..We describe a system for performing this task and present results on phantom data that show that our slice based method consistently outperforms a reconstruction based method in both speed and accuracy...