2017
A. Carass, S. Roy, A. Jog, J. L. Cuzzocreo, E. Magrath, A. Gherman, J. Button, J. Nguyen, F. Prados, C. H. Sudre, M. J. Cardoso, N. Cawley, O. Ciccarelli, C. A. M. Wheeler-Kingshott, S. Ourselin, L. Catanese, H. Deshpande, P. Maurel, O. Commowick, C. Barillot, X. Tomas-Fernandez, S. K. Warfield, S. Vaidya, A. Chunduru, R. Muthuganapathy, G. Krishnamurthi, A. Jesson, T. Arbel, O. Maier, H. Handels, L. O. Iheme, D. Unay, S. Jain, D. M. Sima, D. Smeets, M. Ghafoorian, B. Platel, A. Birenbaum, H. Greenspan, P. L. Bazin, P. A. Calabresi, C. M. Crainiceanu, L. M. Ellingsen, D. S. Reich, J. L. Prince, D. L. Pham, "Longitudinal Multiple Sclerosis Lesion Segmentation: Resource & Challenge", accepted to NeuroImage, Jan. 2017.
2016
S. Drouin, A. Kochanowska, M. Kersten-Oertel, I. J. Gerard, R. Zelmann, D. De Nigris, S. Bériault, T. Arbel, D. Sirhan, A. F. Sadikot, J. A. Hall, D. S. Sinclair, K. Petrecca, R. F. Del Maestro, D. L. Collins, "IBIS: An OR ready Open Source platform for Image-Guided Neurosurgery", International Journal of Computer Assisted Radiology and Surgery, pp. 1-16, August 2016.
R. Karim, P. Bhagirath, P. Claus, R. J. Housden, Z. Chen, Z. Karimaghaloo, H. M. Sohn, L. L. Rodriguez, S. Vera, X. Alba, A. Hennemuth, H. O. Peitgen, T. Arbel, M. A. Gonzalez Ballester, A. F. Frangi, M. Gotte, R. Razavi, T. Schaeffter, K. Rhode, "Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images", Medical Image Analysis, Issue 30, pp. 95-107, May 2016.
M. Demirkus, D. Precup, J. J. Clark, and T. Arbel, "Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Estimating Binary Facial Attribute Classes in Real-World Face Videos", IEEE Transactions on Pattern Analysis and Machine Intelligence , Vol. 38, Issue, 6, pp. 1185-1203, June 2016.
Z. Karimaghaloo, D. L. Arnold and T. Arbel, "Adaptive Multi-level Conditional Random Fields for Small Enhanced Pathology Detection and Segmentation in Medical Images", Medical Image Analysis, Special Issue on Discrete Graphical Models, Issue 27, pp. 17-30, January 2016.
2015
M. Demirkus, D. Precup, J. J. Clark and T. Arbel, "Hierarchical Temporal Graphical Model for Head Pose Estimation and Subsequent Attribute Classification in Real-World Videos", Computer Vision and Image Understanding (CVIU), Special Issue on Generative Models in Computer Vision, Vol. 136, pp. 128-145, July 2015.
Z. Karimaghaloo, H. Rivaz, D. L. Arnold, D. L. Collins and T. Arbel, "Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI", IEEE Transactions on Medical Imaging, Vol. 34, No. 6, pp. 1227-1241, June 2015.
R. Harmouche, N. Subbanna, D. L. Collins, D. L. Arnold and T. Arbel, "Probabilistic Multiple Sclerosis Lesion Classification based on Modelling Regional Intensity Variability and Local Neighbourhood Information",  IEEE Transactions on Biomedical Engineering", Vol. 62, No. 5, pp. 1281-1292, May 2015.
2014
B. H. Menze, A. Jakaby, S. Bauery, J. Kalpathy-Cramery, K. Farahaniy, J. Kirbyy, Y. Burreny, N. Porzy, J. Slotboomy, R. Wiesty, L. Lancziy, E. Gerstnery, M. Webery, T. Arbel, B. B. Avants, N. Ayache, P. Buendia, D. L. Collins, N. Cordier, J. J. Corso, A. Criminisi, T. Das, H. Delingette, C. Demiralp, C. R. Durst, M. Dojat, S. Doyle, J. Festa, F. Forbes, E. Geremia, B. Glocker, P. Golland, X. Guo, A. Hamamci, K. M. Iftekharuddin, R. Jena, N. M. John, E. Konukoglu, D. Lashkari, J. A. Mariz, R. Meier, S. Pereira, D. Precup, S. J. Price, T. Riklin Raviv, S. M. S. Reza, M. Ryan, D. Sarikaya, L. Schwartz, H. Shin, J. Shotton, C. A. Silva, N. Sousa, N. K. Subbanna, G. Szekely, T. J. Taylor, O. M. Thomas, N. J. Tustison, G. Unal, F. Vasseur, M. Wintermark, D. Hye Ye, L. Zhao, B. Zhao, D. Zikic, M. Prastaway, M. Reyesyz, K. Van Leemput, The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)", accepted to the IEEE Transactions on Medical Imaging, 2014.
C. Elliott, D. L. Arnold, D. L. Collins and T. Arbel, "A Generative Model for Automatic Detection of Resolving Multiple Sclerosis Lesions", in Proceedings of the First Workshop on Bayesian and Graphical Models for Biomedical Imaging held in conjunction with the 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '14), Boston, Mass., U.S.A., September 2014, Lecture Notes in Computer Science, Springer, Vol. 8677, pp. 118-129.
M. Demirkus, D. Precup, J.J. Clark, T. Arbel, "Hierarchical Temporal Graphical Model for Head Pose Estimation in Real-World Videos", in Proceedings of the 13h European Conference on Computer Vision (ECCV 2014), Zurich, Switzerland, September 2014, Springer International Publishing, Part I, LNCS 8689, pp. 328-344.
M. Demirkus, D. Precup, J.J. Clark, T. Arbel, "Multi-Layer Temporal Graphical Model for Head Pose Estimation in Real-World Videos", accepted for presentation at the International Conference on Image Processing, 2014.
N. Subbanna, D. Precup and T. Arbel, "Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI", in Proceedings of the 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), June 2014, pp. 400-405.
D. De Nigris, D. L. Collins and T. Arbel, SymBA: Diffeomorphic Registration Based on Gradient Orientation Alignment and Boundary Proximity of Sparsely Selected Voxels", in Proceedings of the 6th International Workshop on Biomedical Image Registration (WBIR), Springer Vol. 8545, July 2014. (oral presentation), pp. 21-30.
2013
B. Oreshkin and T. Arbel, "Uncertainty Driven Probabilistic Pixel Selection for Image Registration", accepted to the IEEE Transactions on Medical Imaging, May 2013.
C. Elliott, D. L. Arnold, D. L. Collins, and T. Arbel, "Temporally Consistent Probabilistic Detection of New Multiple Sclerosis Lesions in Brain MRI", accepted to the IEEE Transactions on Medical Imaging, March 2013.
D. De Nigris, D. L. Collins, T. Arbel, Fast Rigid Registration of Pre-Operative Magnetic Resonance Images to Intra-Operative Ultrasound for Neurosurgery based on High Confidence Gradient Orientations, International Journal of Computer Assisted Radiology and Surgery, Feb. 2013
N. Subbanna, D. Precup, D. L. Collins and T. Arbel, "Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI", in Proceedings of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '13), Nagoya, Japan, Sept. 2013, Lecture Notes in Computer Science, Springer, Vol. 8149, pp. 751-758.
Z. Karimaghaloo, H. Rivaz, D. L. Arnold, D. L. Collins and T. Arbel, "Adaptive Voxel, Texture and Temporal Conditional Random Field for Detection of Gad-Enhancing Multiple Sclerosis Lesions in Brain MRI", in Proceedings of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '13), Nagoya, Japan, Sept. 2013, Lecture Notes in Computer Science, Springer, Vol. 8151, pp. pp 543-550.
M. Demirkus, J. J. Clark and T. Arbel, "Robust Semi-automatic Head Pose Labeling for Real-World Face Video Sequences", Multimedia Tools and Applications, Jan. 2013.
2012
D. De Nigris, D. L. Collins, and T. Arbel, "Multi-Modal Image Registration based on Gradient Orientations of Minimal Uncertainty", IEEE Transactions on Medical Imaging,, Vol. 31, No. 12, pp. 2343-2354, Dec. 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.
Z. Karimaghaloo, D. L. Arnold, D. L. Collins and T. Arbel, "Hierarchical Conditional Random Fields for Detection of Gad-enhancing Lesions in Multiple Sclerosis", 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '12) , Nice, France, October 2012.
M. Demirkus, D. Precup, J. Clark, and T. Arbel, "Soft Biometric Trait Classification from Real-world Face Videos Conditioned on Head Pose Estimation", accepted to 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.
B.Oreshkin and T. Arbel, "Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-Resolution Image Registration", In Proceedings of the Fifth Workshop on Biomedical Image Registration (WBIR 2012), Vanderbilt University, Nashville, Tennessee, USA, July 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
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, 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, April 2011, pages 267-292
M. Demirkus, B. Oreshkin, J. Clark, and T. Arbel, "Spatial and probabilistic codebook template based head pose estimation from unconstrained environments". accepted to IEEE ICIP2011
2010
Catherine Laporte and Tal Arbel, "Learning to estimate out-of-plane motion in ultrasound imagery of real tissue", accepted to Medical Image Analysis,August, 2010
Matthew Toews, William Wells III, D. Louis Collins and Tal Arbel, "Feature-Based Morphometry: Discovering Group-related Anatomical Patterns", NeuroImage, Volume 49, Issue 3, pp. 2318-2327, Feb. 2010.
M. Shah, Y. Xiao, S. Francis, D. L. Arnold, D. L. Collins, and T. Arbel, "Evaluating Intensity Normalization on MRIs of Human Brain with Multiple Sclerosis", accepted to Medical Image Analysis, Dec. 2010.
Y. Xiao, M. Shah, S. Francis, D. L. Arnold, T. Arbel, D. L. Collins, "Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis", 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", 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), p. 107, 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.
C. Laporte and T. Arbel, "Measurement Selection in Untracked Freehand 3D Ultrasound", Proceedings of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, Beijing, China, 2010, Part I, p. 127-134
C. Elliott, S. Francis, D. Arnold, D. L. Collins, T. Arbel, "Bayesian classification of Multiple Sclerosis lesions in longitudinal MRI using subtraction images", Proceedings of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, Beijing, China, 2010, Part II, p. 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", Proceedings of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, Beijing, China, 2010, Part III, p. 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", Proceedings of the 13th International Conference on Medical Image Computing and Computer Assisted Interventioni, Beijing, China, 2010, Part II, p. 643-651
D. De Nigris, D. L. Collins, T. Arbel, "Deformable Registration of Chest CT Scans with Adaptive Local Mutual Information”, Grand Challenges in Medical Image Analysis held in conjunction with the 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '10), p. 175, Beijing, China, 2010
2009
Sandra Skaff, Tal Arbel and James 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.
Matthew Toews and Tal Arbel, "Detection, localization and sex classification of faces from arbitrary viewpoints and under occlusion", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 9, pp. 1567-1581, 2009.
Catherine Laporte, James J. Clark and Tal Arbel, "Generalized Poisson 3D scatterer distributions", IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Vol. 56, No. 2, pp. 410-414, 2009.
M. Toews, W. M. Wells III, D. L. Collins and T. Arbel, "Feature-based morphometry", to appear in Proceedings of the 12th International Conference on Medical Image Computing and Computer Assisted Intervention, Part II, pp. 109-116 London, Sept. 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 in conjunction with the 12th International Conference on Medical Image Computing and Computer Assisted Intervention, London, UK, September 2009.
M. Toews, D. L. Collins and T. Arbel, "Automatically learning cortical folding patterns", to appear in Proceedings of the International Symposium on Biomedical Imaging, Boston, U.S.A., June 2009
C. Laporte and T. Arbel, "Learning a tissue invariant ultrasound speckle decorrelation model", to appear in Proceedings of the International Symposium on Biomedical Imaging, pp. 995-998, Boston, U.S.A., June 2009
2008
Catherine Laporte and Tal Arbel, "Combinatorial and probabilistic fusion of noisy correlation measurements for untracked freehand 3D ultrasound", IEEE Transactions on Medical Imaging, vol. 27, no. 7, 2008, pp. 984-994.
Rupert Brooks, Tal Arbel and Doina Precup, "Anytime similarity measures for faster alignments", Computer Vision and Image Understanding, vol. 110, no.3, 2008, pp. 378-389.
M. Audette, R. Brooks, R. Funnell, G. Strauss and T. Arbel, "Piecewise affine initialized spline-based patient-specific registration of a high-resolution ear model for surgical guidance", to appear in Proceedings of the MICCAI 2008 Workshop on Image Guidance and Computer Assistance for Soft-Tissue Interventions, New York, U.S.A., Sept. 2008
R. Brooks, L. Collins, X. Morandi and T. Arbel, "Deformable ultrasound registration without reconstruction", to appear in Proceedings of the 11th International Conference on Medical Image Computing and Computer Assisted Intervention, New York, U.S.A., Sept. 2008.
2007
Matthew Toews and Tal Arbel, "A Statistical Parts-based Appearance Model of Anatomical Variability", IEEE Transactions on Medical Imaging, vol. 26, No. 4, 2007, pp. 497-508.
C. Laporte and T. Arbel, "Probabilistic speckle decorrelation for 3D ultrasound", Proceedings of the 10th International Conference on Medical Image Computing and Computer Assisted Intervention, part 1, pp. 925-932, Brisbane, Australia, Oct. 2007.
M. Toews and T. Arbel, "Detecting and localizing 3D object classes using viewpoint invariant reference frames", Proceedings of the ICCV Workshop on 3D Representation for Recognition, Rio de Janeiro, Brazil, Oct. 2007.
M. Toews and T. Arbel, "Detecting, localizing and classifying visual traits from arbitrary viewpoints using probabilistic local feature modeling", Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures, pp. 154-167, Rio de Janeiro, Brazil, Oct. 2007.
R. Brooks and T. Arbel, "The importance of scale when selecting pixels for image registration", Proceedings of the 4th Canadian Conference on Computer and Robot Vision, pp. 235-242, Montreal, QC, May 2007.
C. Laporte, J. J. Clark and T. Arbel, "A fractal multi-dimensional ultrasound scatterer distribution model", Proceedings of the 4th IEEE International Symposium on Biomedical Imaging, pp. 880-883, Washington, DC, Apr. 2007.
R. Brooks, T. Arbel and D. Precup, "Fast image alignment using anytime algorithms", Proceedings of the 20th International Joint Conference on Artificial Intelligence, pp. 2078-2083, Hyderabad, India, Jan. 2007.
2006
Catherine Laporte and Tal Arbel, "Efficient discriminant viewpoint selection for active Bayesian recognition", International Journal of Computer Vision, vol. 68, No. 3, 2006, pp. 267-287.
M. Toews, D.L. Collins and 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, vol. 1, pp. 232-240, Copenhagen, Denmark, Oct. 2006.
R. Brooks and T. Arbel, "Generalizing inverse compositional image alignment", Proceedings of the 18th International Conference on Pattern Recognition, vol.2, pp. 1200-1203, Hong Kong, Aug. 2006.
M. Toews and T. Arbel, "Detection over viewpoint via the Object Class Invariant", Proceedings of the 18th International Conference on Pattern Recognition, vol. 1, pp. 765-768, Hong Kong, Aug. 2006.
F. Riggi, M. Toews and T. Arbel, "Fundamental matrix estimation via TIP - Transfer of Invariant Parameters", Proceedings of the 18th International Conference on Pattern Recognition, vol. 2, pp. 21-24, Hong Kong, Aug. 2006.
R. Harmouche, D. Arnold, S. Francis, D.L. Collins and T. Arbel, "Bayesian MS lesion classification modeling regional and local spatial information", Proceedings of the 18th International Conference on Pattern Recognition, vol. 3, pp. 984-987, Hong Kong, Aug. 2006.
C. Laporte and T. Arbel, "Evaluation of required and available ultrasound image decompression accuracy for decorrelation based distance estimation", Proceedings of Medical Image Understanding and Analysis, pp. 136-140, Manchester, U.K., July 2006.
2005
M. Toews, D.L. Collins and 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 , Lecture Notes in Computer Science, Vol. 3750, pp. 163, Palm Springs, CA, Oct. 2005.
2004
Tal Arbel, Xavier Morandi, Roch M. Comeau and D. Louis Collins, "Automatic non-linear MRI-ultrasound registration for the correction of intra-operative brain deformation", Journal of Computer Aided Surgery, Vol. 9, no. 4, 2004, pp. 123-136.
C. Laporte, R. Brooks and T. Arbel, "A fast discriminant approach to active object recognition and pose estimation", Proceedings of the 17th International Conference on Pattern Recognition, Vol. 3, pp. 91-94, Cambridge, United Kingdom, Aug. 2004.
Older
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.
Tal Arbel and Frank P. Ferrie, "Interactive Visual Dialog", Image and Vision Computing, vol. 20, issues 9-10, 2002, pp. 639-646.
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. 2002.
T. Arbel, X. Morandi, R. Comeau and 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, Utrecht, Netherlands, Oct. 2001, pp. 913-922.
D. Sappey-Marinier, S. Antel, M. C. Tartaglia, S. Narayanan, S. Francis, T. Arbel, D. L. Arnold, "Quantification Métabolique dans la Sclérose en Plaques par Imagerie Spectroscopique RMN", Revue Neurologique, Supplément No. 3, Tôme 157, 2S145. Presented at the Journées de Neurologie de Langue Française, Lyon, April 2001.
Tal Arbel and Frank P. Ferrie, "Entropy-based Gaze Planning", Image and Vision Computing, vol. 19, issue 11, 2001, pp. 779-786.
Tal Arbel and Frank P. Ferrie, "On the Sequential Accumulation of Evidence", International Journal of Computer Vision, vol. 43, No. 3, 2001, pp. 205-230.
T. Arbel, F. P. Ferrie and M. Mitran, "Recognizing Objects From Curvilinear Motion", in Proceedings of the Eleventh British Machine Vision Conference, Bristol, UK, September 2000.
T. Arbel and F. P. Ferrie, "Interactive Visual Dialog", in Proceedings of the Eleventh British Machine Vision Conference, Bristol, UK, September 2000.
T. Arbel and F. P. Ferrie, "Recognizing Objects by Accumulating Evidence over Time", in Proceedings of the Fourth Asian Conference on Computer Vision, Taipei, Taiwan, Jan. 2000.
T. Arbel and F. 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 1999.
T. Arbel and F. 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.
T. Arbel and F. P. Ferrie, "Entropy-based Gaze Planning", 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.
T. Arbel and F. P. Ferrie, "Informative Views and Sequential Recognition", in Proceedings of Fourth European Conference on Computer Vision, Cambridge, UK, April 1996, no. 1064, pp. 469-481.
Tal Arbel, Peter Whaite and Frank P. Ferrie, "Parametric Shape Recognition Using a Probabilistic Inverse Theory", Pattern Recognition Letters, vol. 17, no. 5, 1996, pp. 491-501.
T. Arbel, P. Whaite and F. P. Ferrie, "Recognizing Volumetric Objects in the Presence of Uncertainty", in Proceedings of the 12th International Conference on Pattern Recognition, Jerusalem, Israel, Oct. 1994, pp. 470-476.
Matthew Toews and Tal Arbel, "Parts-based Modeling of Medical Imagery", to appear in Computational Intelligence in Medical Imaging: Techniques and Applications, CRC Press.