jeff orchard’s publications
jeff orchard’s publications
journals
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.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.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.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.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.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.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.L. Wang, B. Yang, J. Orchard
Particle Swarm Optimization Using Dynamic Tournament Topology
Applied Soft Computing, 48:584-596, 2016.
9.J. Orchard
Oscillator-Interference Models of Path Integration Do Not Require Theta Oscillations
Neural Computation, 27:548-560, March 2015. (pdf)
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.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.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.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.J. Orchard, R. Mann
Registering a Multi-Sensor Ensemble of Images
IEEE Transactions on Image Processing, 19(5), pp. 1236-1247, 2010.
15.Y. Wang*, J. Orchard
Fast Discrete Orthonormal Stockwell Transform
SIAM Journal on Scientific Computing, 31(5), pp. 4000-4012, 2009.
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.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.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.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.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.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.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.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.T. Jackson*, J. Orchard
Learning in Energy Networks by Minimizing Network Strain
Montreal Artificial Intelligence and Neuroscience Conference, 1-page abstract, Dec 2018.
4.A. Khan*, J. Orchard
Bidirectional Equilibrium Propagation
Montreal Artificial Intelligence and Neuroscience Conference, 1-page abstract, Dec 2018.
Selected for oral presentation
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.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.P. Wu, J. Orchard
Using Flexible Neural Trees to Seed Backpropagation
International Conference on Neural Information Processing, 8 pages, Nov 2017.
8.H. Leopold*, J. Orchard, J. Zelek, V. Lakshminarayanan
Segmentation and Feature Extraction of Retinal Vascular Morphology
SPIE Medical Imaging, February 2017.
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.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.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.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.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.D. Xu*, C. Seth*, J. Orchard
Versatile predictive estimator without weight copying
Computational and Systems Neuroscience (COSYNE), abstract & poster, 2016.
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.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.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.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.J. Orchard, H. Yang*, X. Ji*
Path Integration using the Fourier Transform
Berstein Conference, abstract & poster, Sept 2013.
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.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.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.J. Orchard, R. Bogacz
Decision-Making Networks Using Spiking Neurons
Computational and Systems Neuroscience (COSYNE), abstract & poster, 2013.
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.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.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.J. Orchard, L. Jonchery*
Ensemble Registration: Aligning Many Multisensor Images Simultaneously
SPIE Electronic Imaging Conference, 12 pages, Jan. 2009.
28.Y. Wang*, J. Orchard
A New Image Compression Method using the Stockwell Transform
SPIE Electronic Imaging Conference, 12 pages, Jan. 2009.
29.Y. Wang*, J. Orchard
Symmetric Discrete Orthonormal Stockwell Transform
International Conference on Numerical Analysis and Applied Mathematics (ICNAAM), 5 pages, Sept. 2008.
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.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.A. Wong*, J. Orchard
A Nonlocal-Means Approach to Exemplar-Based Inpainting
IEEE International Conference on Image Processing (ICIP’08), 4 pages, 2008.
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.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.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.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.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.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.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.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.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.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.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.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.J. Orchard
Simultaneous Registration and Activation Detection: Overcoming Activation-Induced Registration Errors in Functional MRI
Ph.D. Thesis, Simon Fraser University, 2003.
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.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.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.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.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.J. Orchard, T. Möller
Accelerated Splatting using a 3D Adjacency Data Structure
Graphics Interface Conference, pp. 191-200, June 2001.
in the pipeline
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.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.P. Torabian, R. Pradeep, J. Orchard, B. Tripp, “Foveated Downsampling Techniques”, submitted to NeurIPS Workshop, 2019.