Publications:

Journal Publications:

·        D. De Nigris, D.L. Collins, and T. Arbel, “Multi-Modal Image Registration based on Gradient Orientations of Minimal Uncertainty”, accepted to IEEE Transactions on Medical Imaging, August 2012.

·        Z. Karimaghaloo, M. Shah, S. Francis, D. L. Arnold, D. L. Collins, and T. Arbel, “Automatic Detection of Gadolinium-enhancing Multiple Sclerosis Lesions in Brain MRI Using Conditional Random Fields”, IEEE Transactions on Medical Imaging, Vol. 31, No. 6, pp. 1181-1194, June 2012.

·        K. Murphy, …, D. De Nigris, D. L. Collins, T. Arbel, et. al., “Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge”, IEEE Transactions on Medical Imaging, Vol. 30, Issue 11, pp. 1901-1920, Nov. 2011.

·        M. Shah, Y. Xiao, N. Subbanna, S. Francis, D. L. Arnold, D. L. Collins, and T. Arbel, “Evaluating Intensity Normalization on MRIs of Human Brain with Multiple Sclerosis”, Medical Image Analysis, Volume 15, Issue 2, pp. 267-282, April 2011.

·        C. Laporte and T. Arbel, “Learning to estimate out-of-plane motion in ultrasound imagery of real tissue”, Medical Image Analysis, Volume 15, Issue 2, pp. 202-213, April 2011.

·        M. Toews, W. Wells III, D. L. Collins and T. Arbel, "Feature-Based Morphometry: Discovering Group-related Anatomical Patterns", NeuroImage, Volume 49, Issue 3, pp. 2318-2327, Feb. 2010.

·        R. Brooks and T. Arbel, "Generalizing inverse compositional and ESM image alignment", International Journal of Computer Vision, Volume 87, Issue 3, pp. 191-212, May 2010.

·        S. Skaff, T. Arbel, and J. J. Clark, "A Sequential Bayesian Approach to Color Constancy using Non-Uniform Filters", Computer Vision and Image Understanding, Volume 113, Issue 9, pp. 993-1004, Sept. 2009.

·        M. Toews and T. Arbel, "Detection, Localization and Sex Classification of Faces from Arbitrary Viewpoints and Under Occlusion", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, Issue 9, pp. 1567-1581, Sept. 2009.

·        C. Laporte, J. J. Clark and T. Arbel, "Generalised Poisson 3D Scatterer Distributions", IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 56, No. 2, pp. 410-414, Feb. 2009.

·        C. Laporte and T. Arbel, "Combinatorial and Probabilistic Fusion of Noisy Correlation Measurements for Untracked Freehand 3D Ultrasound", IEEE Transactions on Medical Imaging, Vol. 27, No. 7, pp. 984-994, July 2008.

·        R. Brooks, T. Arbel and D. Precup, "Anytime similarity measures for faster alignments", in Computer Vision and Image Understanding, Special Issue on Similarity Matching in Computer Vision and Multimedia, Vol. 110, No. 3, pp. 378-389, 2008.

·        M. Toews and T. Arbel, "A Statistical Parts-based Model of Anatomical Variability", in IEEE Transactions on Medical Imaging, Special Issue on Computational Neuroanatomy, Vol. 26(4), pp. 497-508, April 2007.

·        C. Laporte and T. Arbel, "Efficient discriminant viewpoint selection for active Bayesian recognition", International Journal of Computer Vision, Springer Netherlands, Vol. 68, No. 3, pp. 267-287, July 2006.

·        T. Arbel, X. Morandi, R. M. Comeau, D. L. Collins, "Automatic Non-linear MRI-Ultrasound Registration for the Correction of Intra-operative Brain Deformations", Journal of Computer Aided Surgery, Taylor & Francis Group, Vol. 9, No. 4, pp. 123-136, 2004.

·        T. Arbel and F. P. Ferrie, "Interactive Visual Dialog", Image and Vision Computing, Elsevier Science, vol. 20, issues 9-10, pp. 639-646, Aug. 2002.

·        T. Arbel and F. P. Ferrie, "Entropy-based Gaze Planning", Image and Vision Computing, Elsevier Science, vol. 19, issue 11, pp. 779-786, Sept. 2001.

·        T. Arbel and F. P. Ferrie, "On the Sequential Accumulation of Evidence", International Journal of Computer Vision, Kluwer Academic Publishers, Vol. 43, No. 3, pp. 205-230, July 2001.

·        T. Arbel, P. Whaite and F. P. Ferrie, "Parametric Shape Recognition Using a Probabilistic Inverse Theory (Arbel-Whaite-Ferrie,96)", Pattern Recognition Letters, vol. 17, no. 5, pp. 491--501, 1996.


Peer-reviewed Book Chapters:

·        Matthew Toews and Tal Arbel, "Parts-based Modeling of Medical Imagery", in Computational Intelligence in Medical Imaging: Techniques and Applications , CRC Press, 2008.


Peer-reviewed Conference Publications:

2012

·        Z. Karimaghaloo, D. L. Arnold, D. L. Collins and T. Arbel, “Hierarchical Conditional Random Fields for Detection of Gad-enhancing Lesions in Multiple Sclerosis”, accepted to the the 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '12), Nice, France, October 2012.

·        B. Oreshkin and T. Arbel, "Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-Resolution Image Registration ", in the Fifth Workshop on Biomedical Image Registration (WBIR 2012), Vanderbilt University, Nashville, Tennessee, USA, July 2012. (oral presentation).

·        M. Demirkus, D. Precup, J. Clark, and T. Arbel, “Soft Biometric Trait Classification from Real-world Face Videos Conditioned on Head Pose Estimation”, in Proceedings of the IEEE Computer Society Workshop on Biometrics in association with the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Providence, Rhode Island, June 2012. (oral presentation)

·        D. De Nigris, D. L. Collins and T. Arbel, "Fast and Robust Registration based on Gradient Orientations: Case Study Matching Intra-operative Ultrasound to Pre-operative MRI in Neurosurgery", In Proceedings of the 3rd International Conference on Information Processing in Computer-Assisted Interventions (IPCAI 2012), Pisa, Italy, June 2012.

2011

·        M. Demirkus, B. Oreshkin, J. Clark, and T. Arbel, "Spatial and probabilistic codebook template based head pose estimation from unconstrained environments", In Proceedings of the 2011 IEEE International Conference on Image Processing (ICIP 2011), Brussels, Belgium, Sept. 2011, pp. 573-576.

·        N. Subbanna, S. Francis, D. Precup, D.L. Collins, D. L. Arnold and T. Arbel, “Adapted MRF Segmentation of MS Lesions Using Local Contextual Information”, In Proceedings of the Conference on Medical Image Understanding and Analysis (MIUA ’11), London, U.K., July 2011.

2010

·        C. Laporte and T. Arbel, "Measurement Selection in Untracked Freehand 3D Ultrasound", in the 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '10), Beijing, China, September 2010, Part 1, pp. 127-134.

·        C. Elliott, S. Francis, D. L. Arnold, D. L. Collins, T. Arbel, "Bayesian Classification of Multiple Sclerosis Lesions in Longitudinal MRI using Subtraction Images", in the 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '10), Beijing, China, September 2010, pp. 290-297.

·        Z. Karimaghaloo, M. Shah, S. Francis, D. L. Arnold, D. L. Collins, T. Arbel, “Detection of Gad-enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields”, in the 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '10), Beijing, China, September 2010, pp. 41-48.

·        D. De Nigris, L. Mercier, R. Del Maestro, D. L. Collins, T. Arbel, “Hierarchical Multimodal Image Registration Based on Adaptive Local Mutual Information”, in the 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '10), Beijing, China, September 2010, pp. 643-650.

·        Y. Xiao, M. Shah, S. Francis, D. L. Arnold, T. ArbelD. L. Collins, Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis”, in the International Workshop on Machine Learning in Medical Imaging (MLMI) held in conjunction with the 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI ‘10), Beijing, China, September 2010.

·        R. Rajalingham, M. Toews, D. L. Collins, T. Arbel, “Exploring Cortical Folding Pattern Variability Using Local Image Features”, in the Workshop on Medical Computer Vision - Recognition Techniques and Applications in Medical Imaging (MCV) held in conjunction with the 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI ‘10), Beijing, China, September 2010.

·        D. De Nigris, D. L. Collins, T. Arbel, “Deformable Registration of Chest CT Scans with Adaptive Local Mutual Information”, in the Workshop on Medical Image Analysis For The Clinic - A Grand Challenge: EMPIRE10 – Evaluation of Methods for Pulmonary Image Registration 2010, held in conjunction with the 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI ‘10), Beijing, China, September 2010.

·        M. Demirkus, M. Toews, J. Clark, T. Arbel, "Gender Classification from Unconstrained Video Sequences", in the IEEE Workshop on Analysis and Modelling of Faces and Gestures (AMFG) held in conjunction with IEEE CVPR 2010, San Francisco, CA, June 2010.

2009

·        M. Toews, W. M. Wells III, D. L. Collins and T. Arbel, "Feature-based Morphometry", in the 12th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '09), London, UK, September 2009, Part II, pp. 109-116.

·        M. Shah, Y. Xiao, S. Francis, D. Arnold, D.L. Collins and T. Arbel, "Effectiveness of Intensity Normalization on Human Brain MRIs with Multiple Sclerosis", in the MICCAI 2009 Workshop on Medical Image Analysis on Multiple Sclerosis (MIAMS 2009) in conjunction with The 12th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '09), London, UK, September 2009.

·        N. Subbanna, M. Shah, S. Francis, S. Narayanan, D.L. Collins, D. Arnold and T. Arbel, "MS Lesion Segmentation using Markov Random Fields", in the MICCAI 2009 Workshop on Medical Image Analysis on Multiple Sclerosis (MIAMS 2009) in conjunction with The 12th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '09), London, UK, September 2009.

·        M. Toews, D. L. Collins and T. Arbel, "Automatically Learning Cortical Folding Patterns", in the 2009 IEEE International Symposium on Biomedical Imaging, Boston, Mass., U.S.A., June 2009, pp. 1330-1333.

·        C. Laporte and T. Arbel, "Learning a Tissue Invariant Ultrasound Speckle Decorrelation Model", in the 2009 IEEE International Symposium on Biomedical Imaging, Boston, Mass., U.S.A., June 2009, pp. 995-998.

2008

·        M. Audette, R. Brooks, R. Funnell, G. Strauss, T. Arbel, "Piecewise affine initialized spline-based patient-specific registration of a high-resolution ear model for surgical guidance", in the MICCAI 2008 Workshop on Image Guidance and Computer Assistance for Soft-Tissue Interventions in conjunction with The 11th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '08), New York, USA, Sept. 2008.

·        R. Brooks, L. Collins, X. Morandi, T. Arbel, "Deformable Ultrasound Registration without Reconstruction", in Proceedings of The 11th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '08), New York, USA, Sept. 2008, pp. 1023-1031.

2007

·        M. Toews, T. Arbel, "Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames", in ICCV '07 Workshop on 3D Representation for Recognition (3dRR-07) , Rio de Janeiro, Brazil, October 2007.

·        M. Toews, T. Arbel, "Detecting, Localizing and Classifying Visual Traits from Arbitrary Viewpoints using Probabilistic Local Feature Modeling", in 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG) in conjunction with the Eleventh IEEE International Conference on Computer Vision (ICCV '07), Rio de Janeiro, Brazil, October 2007, Lecture Notes in Computer Science, Springer, Vol. 4778/2007, pp. 154-167.

·        C. Laporte, T. Arbel, "Probabilistic speckle decorrelation for 3D ultrasound", in Proceedings of The 10th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '07), Brisbane, Australia, Oct. 2007, part 1, pp. 925-932.

·        R. Brooks, T. Arbel, "The importance of scale when selecting pixels for image registration", in Proceedings of the Fourth Canadian Conference on Computer and Robot Vision, Montreal, QC, Canada, May 2007, pp. 235-242.

·        C. Laporte, J. Clark, T. Arbel, "A fractal multi-dimensional ultrasound scatterer distribution model", in Proceedings of the IEEE International Symposium on Biomedical Imaging: From Nano to Macro , Washington D.C., U.S.A., Apr. 2007, pp. 880-883.

·        R. Brooks, T. Arbel, D. Precup, "Fast Image Alignment Using Anytime Algorithms", in Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI '07) , Hyderabad, India, Jan 2007, pp. 2078-2083.

2006

·        M. Toews, D.L. Collins, T. Arbel, ``A Statistical Parts-based Appearance Model of Inter-subject Variability'', Proceedings of the 9th Conference for Medical Image Computing and Computer Assisted Intervention (MICCAI '06) , Copenhagen, DK, Oct. 2006, Vol. 1, pp. 232-240.

·        R. Brooks, T. Arbel, ``Generalizing Inverse Compositional Image Alignment'', Proceedings of the 18th International Conference on Pattern Recognition , Hong Kong, Aug.20-26, 2006, Vol. 2, pp. 1200-1203.

·        M. Toews, T. Arbel, ``Detection Over Viewpoint via the Object Class Invariant'', Proceedings of the 18th International Conference on Pattern Recognition , Hong Kong, Aug.20-26, 2006, Vol. 1, pp.765-768.

·        F. Riggi, M. Toews, T. Arbel, ``Fundamental Matrix Estimation via TIP - Transfer of Invariant Parameters'', Proceedings of the 18th International Conference on Pattern Recognition , Hong Kong, Aug.20-26, 2006, Vol. 2, pp. 21-24.

·        R. Harmouche, D. Arnold, S. Francis, D.L. Collins, T. Arbel, ``Bayesian MS Lesion Classification Modeling Regional and Local Spatial Information'', Proceedings of the 18th International Conference on Pattern Recognition , Hong Kong, Aug.20-26, 2006, Vol. 3, pp. 984-987.

·        C. Laporte and T. Arbel, "Evaluation of required and available ultrasound image decompression accuracy for decorrelation based distance estimation", in Proceedings of the Conference on Medical Image Understanding and Analysis , U.K., July 2006, pp. 136-140.

2005

·        M. Toews, D. L. Collins, T. Arbel, "Maximum a Posteriori Local Histogram Estimation for Image Registration", Proceedings of the 8th International Conference on Medical Image Computing and Computer Assisted Intervention, Part II , J. Duncan, G. Gerig (eds.), Lecture Notes in Computer Science, Vol. 3750, pp. 163, Palm Springs, CA, Oct.26-29, 2005.

·        R. Brooks, D.L. Collins, T.Arbel, "Scaling angles and distances to maximize efficiency of image registration", Short paper in The 8th International Conference on Medical Image Computing and Computer Assisted Intervention , Palm Springs, CA, Oct.26-29, 2005.

2004

·        C. Laporte, R. Brooks, T. Arbel, ``A fast discriminant approach to active object recognition and pose estimation'', in Proceedings of the 17th IEEE International Conference on Pattern Recognition , vol. 3, pp. 91--94, Cambridge, UK, August 23-26, 2004.

2003

·        M. Toews and T. Arbel, ``Entropy-of-likelihood Feature Selection for Image Correspondence'', in Proceedings of 9th International Conference on Computer Vision , Nice, France, Oct. 2003, pp. 1041-1047.

2002

·        S. Skaff, T. Arbel and J. Clark, ``Active Bayesian Color Constancy with Non-Uniform Sensors'', in Proceedings of the IEEE 16th International Conference on Pattern Recognition , Vol. 2. pp. 681-685, Quebec, Canada, Aug. 11-15, 2002.

2001

·        T. Arbel, X. Morandi, R. Comeau, D.L. Collins, "Automatic Non-linear MRI-Ultrasound Registration for the Correction of Intra-operative Brain Deformations", in Proceedings of the Conference for Medical Image Computing and Computer Assisted Intervention - MICCAI 2001, W. Niessen and M.A. Viergever (eds.), Springer-Verlag, pp. 913-922, Utrecht, Netherlands, Oct 14-17, 2001.

·        D. Sappey-Marinier, S. Antel, M. C. Tartaglia, S. Narayanan, S. Francis, T. Arbel, D. L. Arnold, "Quantification Metabolique dans la Sclerose en Plaques par Imagerie Spectroscopique RMN", Revue Neurologique, Supplement No. 3, Tome 157, 2S145. Presented at the Journees de Neurologie de Langue Francaise, Lyon, April 18-21, 2001.

2000

·        Tal Arbel and Frank P. Ferrie, "Recognizing Objects From Curvilinear Motion", in Proceedings of the Eleventh British Machine Vision Conference, Bristol, UK, 11-14 September 2000.

·        Tal Arbel and Frank P. Ferrie, "Interactive Visual Dialog", in Proceedings of the Eleventh British Machine Vision Conference, Bristol, UK, 11-14 September 2000.

·        Tal Arbel and Frank P. Ferrie, "Recognizing Objects by Accumulating Evidence over Time", in Proceedings of the Fourth Asian Conference on Computer Vision, Taipei, Taiwan, Jan. 2000.

1999

·        Tal Arbel and Frank P. Ferrie, "Bayesian Recognition - Accumulating Evidence Over Time", in Booklet for Statistical Methods for Image Processing, a satellite conference of the 52nd Session of the International Statistical Institute, pages 22-25, Uppsala, Sweden, August 6-9, 1999.

·        Tal Arbel and Frank P. Ferrie, "Viewpoint Selection by Navigation through Entropy Maps", in Proceedings of the Seventh IEEE International Conference on Computer Vision, pages 248-254, Kerkyra, Greece, Sept. 1999.

·        Tal Arbel and Frank P. Ferrie, "Entropy-based Gaze Planning (Arbel-Ferrie-99)", in Proceedings of the Second IEEE Workshop on Perception for Mobile Agents, in association with the 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Fort Collins, Colorado, June 1999.

1996

·        Tal Arbel and Frank P. Ferrie, "Informative Views and Sequential Recognition (Arbel-Ferrie-95)", in Proceedings of Fourth European Conference on Computer Vision, no. 1064, pp. 469-481, Cambridge, UK, April 14-18, 1996.    

1994

·        Tal Arbel, Peter Whaite and Frank P. Ferrie, "Recognizing Volumetric Objects in the Presence of Uncertainty (Arbel-Whaite-Ferrie-94)", IEEE Computer Society Press, in Proceedings of the 12th International Conference on Pattern Recognition, pp. 470-476, Jerusalem, Israel, Oct 9-13, 1994.


Published Theses:

·        Tal Arbel, "Active Object Recognition Conditioned by Probabilistic Evidence and Entropy Maps (Arbel-00)", PhD Thesis, McGill University, Montreal, Quebec, Canada, Jan. 2000.

·        Tal Arbel, "Recognizing Volumetric Objects in the Presence of Uncertainty (Arbel-95)", Master's Thesis, McGill University, Montreal, Quebec, Canada, April 1995.