jeff orchard’s publications

 

journals

  1. 1.R. Cody*, B. Tolson, J. Orchard
    Deep Auto-Encoder for Leak Detection in Water Distribution Systems
    to appear in the Journal of Computing in Civil Engineering, (16 pages), 2019.

  2. 2.L. Wang, J. Orchard
    Investigating the Evolution of a Neural Neuroplasticity Learning Rule
    IEEE Trans. Systems, Man, and Cybernetics - Systems
    , 49(10):2131-2143, Sept 2019.

  3. 3.H. A. Leopold*, J. Orchard, J. S. Zelek, V. Lakshminarayanan
    PixelBNN: Augmenting the PixelCNN with batch normalization and the presentation of a fast architecture for retinal vessel segmentation
    Journal of Imaging, 5(2), article 26 (16 pages), 2019.

  4. 4.D. Xu*, A. Clappison*, C. Seth*, J. Orchard
    Symmetric Predictive Estimator for Biologically Plausible Neural Learning
    IEEE Trans. Neural Networks and Learning Systems, 29(9):4140-4151, Sept 2018.

  5. 5.S. Shahir*, B. Semnani, G. Rafi, J. Orchard, S. Safavi-Naeini
    Millimeter-wave Multi-view Planar Near-field Scattering Tomography System
    IET Microwaves, Antennas and Propagation, 12(6):858-863, 2018.

  6. 6.E. Hunsberger*, J. Orchard, V. Reyesos*, B. Tripp
    Feature-based resource allocation for real-time stereo disparity estimation
    IEEE Access, 5(1):11645-11657, Dec 2017.

  7. 7.L. Wang, B. Yang, Y. Chen, X. Zhang, J. Orchard
    Improving Neural-Network Classifiers using Nearest Neighbor Partitioning
    IEEE Transactions on Neural Networks and Learning Systems, 28(10):2255-2267, 2017.

  8. 8.L. Wang, B. Yang, J. Orchard
    Particle Swarm Optimization Using Dynamic Tournament Topology
    Applied Soft Computing, 48:584-596, 2016.

  9. 9.J. Orchard
    Oscillator-Interference Models of Path Integration Do Not Require Theta Oscillations
    Neural Computation, 27:548-560, March 2015. (pdf)

  10. 10.S. Hu, J. Orchard
    Medical Image Ensemble Registration Based on Gaussian Mixture Model and Color Component Regularization
    Optik - International Journal for Light and Electron Optics, 126(1), pp. 6-12, Jan 2015.

  11. 11.J. Orchard, H. Yang, X. Ji
    Does the Entorhinal Cortex use the Fourier Transform?
    Frontiers in Computational Neuroscience, vol. 7, article 179 (14 pages), Dec. 2013.

  12. 12.B. P. Tripp, J. Orchard
    Population Coding in Sparsely Connected Networks of Noisy Neurons
    Frontiers in Computational Neuroscience, vol. 6, article 23 (14 pages), May 2012.

  13. 13.J. Orchard, H.-Y. Kim*, J. T. W. Yeow
    Plausibility of Image Reconstruction Using a Proposed Flexible and Portable CT Scanner
    The Open Medical Imaging Journal,  6, pp. 1-11, April 2012.

  14. 14.J. Orchard, R. Mann
    Registering a Multi-Sensor Ensemble of Images
    IEEE Transactions on Image Processing
    , 19(5), pp. 1236-1247, 2010.

  15. 15.Y. Wang*, J. Orchard
    Fast Discrete Orthonormal Stockwell Transform
    SIAM Journal on Scientific Computing, 31(5), pp. 4000-4012, 2009.

  16. 16.A. Wong*, J. Orchard
    Robust Multimodal Registration using Local Phase Coherence Representations
    Journal of Signal Processing Systems for Signal, Image, and Video Technology: Special Issue on Biomedical Imaging 54, pp. 89-100, 2009.

  17. 17.M. Omanovic*, J. Orchard
    Exhaustive Matching of Dental X-rays for Human Forensic Identification
    Canadian Society for Forensic Science Journal 41(3), 8 pages, Sept. 2008.

  18. 18.A. Wong*, J. Orchard
    Efficient FFT-Accelerated Approach to Invariant Optical-LIDAR Registration
    IEEE Transactions on Geoscience and Remote Sensing 46(11), pp. 3917-3925, Nov. 2008.

  19. 19.J. Orchard
    Multimodal Image Registration using Floating Regressors in the Joint Intensity Scatter Plot
    Medical Image Analysis 12(4), pp. 385-396, August 2008.

  20. 20.J. Orchard
    Efficient Least-Squares Multimodal Registration with a Globally Exhaustive Alignment Search
    IEEE Transactions on Imaging Processing 16(10), pp. 2526-2534, October 2007.

  21. 21.J. Orchard, C. Greif, G.H. Golub, B. Bjornson, M.S. Atkins
    Simultaneous Registration and Activation Detection for fMRI
    IEEE Transactions on Medical Imaging special issue on Medical Image Registration 22(11), pp. 1427-1435, 2003.

other refereed contributions

  1. 1.J. Orchard, W. Sun*, N. Liu*
    Why Aren’t All Predictive Coding Networks Generative?
    NeurIPS Workshop on Perception as Generative Reasoning, Vancouver, Dec. 2019.

  2. 2.A. Anjum, F. Sun, L. Wang, J. Orchard
    A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming
    International Conference on Artificial Neural Networks: Deep Learning, LNCS 11728, 373-386, Sept. 2019

  3. 3.T. Jackson*, J. Orchard
    Learning in Energy Networks by Minimizing Network Strain
    Montreal Artificial Intelligence and Neuroscience Conference, 1-page abstract, Dec 2018.

  4. 4.A. Khan*, J. Orchard
    Bidirectional Equilibrium Propagation
    Montreal Artificial Intelligence and Neuroscience Conference, 1-page abstract, Dec 2018.
    Selected for oral presentation

  5. 5.R. Wiyatno*, J. Orchard
    Style Memory: Making a Classifier Network Generative
    International Conference on Cognitive Informatics and Cognitive Computing, 6 pages, July 2018.

  6. 6.J. Orchard, L. Castricato*
    Combatting Adversarial Inputs using a Predictive-Estimator Network
    International Conference on Neural Information Processing
    , 7 pages, Nov 2017.
    Awarded prize for Best Paper

  7. 7.P. Wu, J. Orchard
    Using Flexible Neural Trees to Seed Backpropagation
    International Conference on Neural Information Processing, 8 pages, Nov 2017.

  8. 8.H. Leopold*, J. Orchard, J. Zelek, V. Lakshminarayanan
    Segmentation and Feature Extraction of Retinal Vascular Morphology
    SPIE Medical Imaging, February 2017.

  9. 9.H. Leopold*, J. Orchard, J. Zelek, V. Lakshminarayanan
    Use of Gabor filters and Deep Networks in the Segmentation of Retina Vessel Morphology
    SPIE BiOS, (7 pages), January 2017.

  10. 10.L. Wang, J. Orchard, B. Yang, A. Abraham
    Improving Gene Expression Programming using Diversity Preservation Tournament and Its Application in Grid Cell Modeling
    IEEE International Conference on Systems, Man, and Cybernetics, (6 pages), 2016.

  11. 11.J. Orchard, L. Wang
    The Evolution of a Generalized Neural Learning Rule
    IEEE World Congress on Computational Intelligence (International Joint Conference on Neural Networks), (7 pages), 2016.

  12. 12.H. Leopold*, J. Orchard, V. Lakshminarayanan, J. Zelek
    A Deep Learning Network for Segmenting Retinal Vessel Morphology
    Proc. of the IEEE Engineering in Medicine and Biology Society Conference, paper 2973 (1 page abstract), 2016.

  13. 13.L. Wang, B. Yang, J. Orchard
    Discovering Grid-Cell Models Through Evolutionary Computation
    IEEE World Congress on Computational Intelligence (IEEE Congress on Evolutionary Computation), (8 pages), 2016.

  14. 14.D. Xu*, C. Seth*, J. Orchard
    Versatile predictive estimator without weight copying
    Computational and Systems Neuroscience (COSYNE), abstract & poster, 2016.

  15. 15.S. Shahir*, J. Orchard, S. Safavi-Naeini
    Towards Five-Dimensional Imaging Using Near-Field Scattering Tomography System
    Annual Biophysical Society Meeting of Canada, (accepted), 2015.

  16. 16.S. Shahir*, J. Orchard, S. Safavi-Naeini
    Monte Carlo based Non-radiating Objective Function Minimization for Permittivity Profile Estimation
    IEEE Antennas and Propagation, (accepted) 2-page abstract, July 2015.

  17. 17.S. Shahir*, J. Orchard, S. Safavi-Naeini
    Scatterer Localization Based on the Non-Radiating Equivalent Source (2D Case)
    IEEE Antennas and Propagation, 2-page abstract, July 2014.

  18. 18.S. Shahir*, A. Taeb, G. Rafi, J. Orchard, S. Safavi-Naeini
    Electromagnetic Inverse Scattering Based Object Imaging and Characterization
    URSI International Union of Radio Science, 1-page abstract, July 2014.

  19. 19.J. Orchard, H. Yang*, X. Ji*
    Path Integration using the Fourier Transform
    Berstein Conference, abstract & poster, Sept 2013.

  20. 20.S. Shahir*, M. Mohajer, J. Orchard, and S. Safavi-Naeini
    Electromagnetic Inverse Scattering System Characterization based on Green’s Function Analysis
    IEEE Symposium on Antennas and Propagation, 2 pages, July 2013.

  21. 21.J. Orchard , H. Yang*, X. Ji*
    Navigation by Path Integration and the Fourier Transform: A Spiking-Neuron Model
    Canadian Conference on Artificial Intelligence (AI), LNAI 7884, pp. 138-149, May 2013. (pdf)

  22. 22.X. Ji*, S. Kushagra*, J. Orchard
    Sensory Updates to Combat Path-Integration Drift
    Canadian Conference on Artificial Intelligence (AI), LNAI 7884, pp. 263-270, May 2013. (pdf)

  23. 23.J. Orchard, R. Bogacz
    Decision-Making Networks Using Spiking Neurons
    Computational and Systems Neuroscience (COSYNE), abstract & poster, 2013.

  24. 24.M. Lam*, J. Orchard
    Mammalian-like Visual Learning by Spatially Modulating Learning Rate in Deep Belief Networks
    Computational and Systems Neuroscience (COSYNE), 1-page abstract & poster, Feb. 2011.

  25. 25.H.-Y. Kim*, J. Orchard
    Registering a Non-Rigid Multi-Sensor Ensemble of Images
    IEEE Engineering in Medicine and Biology Conference (EMBC), 4 pages, 2010.

  26. 26.Y. Wang*, J. Orchard
    Use of the Discrete Orthonormal Stockwell Transform for Image Restoration
    IEEE International Conference on Image Processing (ICIP), pp. 2761-2764, 2009.

  27. 27.J. Orchard, L. Jonchery*
    Ensemble Registration: Aligning Many Multisensor Images Simultaneously
    SPIE Electronic Imaging Conference, 12 pages, Jan. 2009.

  28. 28.Y. Wang*, J. Orchard
    A New Image Compression Method using the Stockwell Transform
    SPIE Electronic Imaging Conference, 12 pages, Jan. 2009.

  29. 29.Y. Wang*, J. Orchard
    Symmetric Discrete Orthonormal Stockwell Transform
    International Conference on Numerical Analysis and Applied Mathematics (ICNAAM), 5 pages, Sept. 2008.

  30. 30.J. Orchard, J. T. W. Yeow
    Toward a Flexible and Portable CT Scanner
    Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS 5242, pp. 188-195, Sept. 2008.

  31. 31.J. Orchard, M. Ebrahimi*, A. Wong*
    Efficient Nonlocal-Means Denoising using the SVD
    IEEE International Conference on Image Processing (ICIP’08), 4 pages, 2008.

  32. 32.A. Wong*, J. Orchard
    A Nonlocal-Means Approach to Exemplar-Based Inpainting
    IEEE International Conference on Image Processing (ICIP’08), 4 pages, 2008.

  33. 33.J. Orchard, C. Kaplan
    Cut-Out Image Mosaics
    Proc. of the 6th Symposium on Non-Photorealistic Animation and Rendering (NPAR), pp. 79-87, June 2008.
    (one of our images was featured on the cover of the proceedings)

  34. 34.R. Sarkar*, C. de Almeida*, N. Syed*, S. Jamal*, J. Orchard
    Intuitive Interface for the Exploration of Volumetric Datasets
    Proc. of the International Conference on Systems, Computing Sciences and Software Engineering, 6 pages, Dec. 2007.

  35. 35.J. Orchard
    Globally Optimal Multimodal Rigid Registration: An Analytic Solution Using Edge Information
    IEEE International Conference on Image Processing (ICIP’07), 4 pages, 2007.

  36. 36.J. Orchard, A. Ramotar*
    Autocorrecting Reconstruction for Flexible CT Scanners
    Proc. of IEEE International Symposium on Biomedical Imaging (ISBI’07), pp. 804-807, April 2007.

  37. 37.A. Wong*, J. Orchard
    Efficient and Robust Non-Rigid Least-Squares Rectification of Medical Images
    Proc. of the International Conference on Image Processing and Computer Vision (IPCV'06), pp. 67-73, 2006.

  38. 38.A. Wong*, W. Bishop, J. Orchard
    Efficient Multi-Modal Least-Squares Alignment of Medical Images Using Quasi-Orientation Maps
    Proc. of the International Conference on Image Processing and Computer Vision (IPCV'06), pp. 74-80, 2006.

  39. 39.M. Omanovic*, J. Orchard
    Efficient Multimodal Registration using Least-Squares
    Proc. of the International Conference on Image Processing and Computer Vision (IPCV'06), Paper IPC4639, 4 pages, 2006.

  40. 40.A. Ramotar*, J. Orchard
    General Geometry CT Reconstruction
    Proc. of the International Conference on Image Processing and Computer Vision (IPCV'06), pp. 95-99, 2006.

  41. 41.J. Orchard
    Efficient Global Weighted Least-Squares Translation Registration in the Frequency Domain
    International Conference on Image Analysis and Recognition (ICIAR'05), LNCS 3656, pp. 116-124, 2005.

  42. 42.J. Orchard
    Image Deformation using Velocity Fields: An Exact Solution
    International Conference on Image Analysis and Recognition (ICIAR'05), LNCS 3656, pp. 439-446, 2005.

  43. 43.L.M. Freire, J. Orchard, M. Jenkinson, J.-F. Mangin
    Reducing Activation-related Bias in FMRI Registration
    Proceedings of Medical Imaging and Augmented Reality (MIAR'04), LNCS 3150, pp. 278-285, August 2004.

  44. 44.J. Orchard, M.S. Atkins
    Solving for Motion and Activation Simultaneously in an fMRI Experiment with Multiple Stimulus Conditions
    IEEE International Symposium on Biomedical Imaging, pp. 1000-1004, April 2004.

  45. 45.J. Orchard
    Simultaneous Registration and Activation Detection: Overcoming Activation-Induced Registration Errors in Functional MRI
    Ph.D. Thesis, Simon Fraser University, 2003.

  46. 46.J. Orchard, M.S. Atkins
    Iterating Registration and Activation Detection to Overcome Activation Bias in Motion Estimates
    Medical Image Computing and Computer Assisted Intervention 6 (MICCAI), LNCS 2879, pp. 886-893, November 2003.

  47. 47.J. Orchard, C. Greif, G.H. Golub, B. Bjornson, M.S. Atkins
    Overcoming Activation-Induced Registration Errors in fMRI
    Proc. of SPIE Conference on Medical Imaging, pp. 130-138, Feb. 2003.

  48. 48.M.S. Atkins, J. Orchard, B. Law, M.K. Tory
    Robustness of the Brain Parenchymal Fraction for Measuring Brain Atrophy
    Proc. of SPIE Conference on Medical Imaging, pp. 201-205, Feb. 2002.

  49. 49.M.S. Atkins, K. Siu, B. Law, J. Orchard, W.L. Rosenbaum
    Difficulties of T1 Brain Image Segmentation
    Proc. of SPIE Conference on Medical Imaging, pp. 1837-1844, Feb. 2002.

  50. 50.M.S. Atkins, J. Orchard, M.K. Tory
    Evaluation of Brain Atrophy Measures
    Proc. of the IEEE Engineering in Medicine and Biology Society Conference, vol. 1, pp. 616-619, Oct. 2001.

  51. 51.J. Orchard, T. Möller
    Accelerated Splatting using a 3D Adjacency Data Structure
    Graphics Interface Conference, pp. 191-200, June 2001.

in the pipeline

  1. 1.H. A. Leopold*, J. Orchard, J. S. Zelek, V. Lakshminarayanan, “Evaluation of Colour Channels when Segmenting Retinal Vessels with a Convolutional Neural Network”, submitted to SPIE Journal of Medical Imaging, (15 pages), 2018.

  2. 2.L. Wang, J. Orchard, “Evolving Generalized Modulatory Learning: Unifying Neuromodulation and Synaptic Plasticity”, submitted to IEEE Trans. Cognitive and Developmental Systems, (12 pages), 2019.

  3. 3.P. Torabian, R. Pradeep, J. Orchard, B. Tripp, “Foveated Downsampling Techniques”, submitted to NeurIPS Workshop, 2019.