Accelerated Splatting using a 3D Adjacency Data Structure. - Jeff Orchard; Torsten Möller (Graphics Interface, 2001)

Robustness of the brain parenchymal fraction for measuring brain atrophy. - M. Stella Atkins; Jeffery J. Orchard; Benjamin Law; Melanie K. Tory (Image Processing, 2002)

Difficulties of T1 brain MRI segmentation techniques. - M. Stella Atkins; Kevin Siu; Benjamin Law; Jeffery J. Orchard; Wilfred L. Rosenbaum (Image Processing, 2002)

Iterating Registration and Activation Detection to Overcome Activation Bias in fMRI Motion Estimates. - Jeff Orchard; M. Stella Atkins (MICCAI (2), 2003)

Overcoming activation-induced registration errors in fMRI. - Jeffery J. Orchard; Chen Greif; Gene H. Golub; Bruce Bjornson; M. Stella Atkins (Image Processing, 2003)

Simultaneous Registration and Activation Detection for fMRI. - Jeff Orchard; Chen Greif; Gene H. Golub; Bruce Bjornson; M. Stella Atkins (IEEE Trans. Medical Imaging, 2003)

Solving for Motion and Activation Simultaneously in an fMRI Experiment with Multiple Stimulus Conditions. - Jeff Orchard; M. Stella Atkins (ISBI, 2004)

Reducing Activation-Related Bias in FMRI Registration. - Luis Freire; Jeff Orchard; Mark Jenkinson; Jean-François Mangin (MIAR, 2004)

Efficient Global Weighted Least-Squares Translation Registration in the Frequency Domain. - Jeff Orchard (ICIAR, 2005)

Image Deformation Using Velocity Fields: An Exact Solution. - Jeff Orchard (ICIAR, 2005)

Efficient Multimodal Registration Using Least-Squares. - Maja Omanovic; Jeff Orchard (IPCV, 2006)

General Geometry CT Reconstruction. - Alexei Ramotar; Jeff Orchard (IPCV, 2006)

Efficient Multi-Modal Least-Squares Alignment of Medical Images Using Quasi-Orientation Maps. - Alexander Wong; William D. Bishop; Jeff Orchard (IPCV, 2006)

Efficient and Robust Non-Rigid Least-Squares Rectification of Medical Images. - Alexander Wong; Jeff Orchard (IPCV, 2006)

Intuitive Interface for the Exploration of Volumetric Datasets. - Rahul Sarkar; Chrishnika de Almeida; Noureen Syed; Sheliza Jamal; Jeff Orchard (SCSS (1), 2007)

Globally Optimal Multimodal Rigid Registration: An Analytic Solution using Edge Information. - Jeff Orchard (ICIP (1), 2007)

Autocorrecting Reconstruction for Flexible Ct Scanners. - Jeff Orchard; Alexei Ramotar (ISBI, 2007)

Efficient Least Squares Multimodal Registration With a Globally Exhaustive Alignment Search. - Jeff Orchard (IEEE Trans. Image Process., 2007)

MRI reconstruction using real-time motion tracking: A simulation study. - Jeff Orchard; Robert Staruch (ACSCC, 2008)

Efficient nonlocal-means denoising using the SVD. - Jeff Orchard; Mehran Ebrahimi; Alexander Wong (ICIP, 2008)

A nonlocal-means approach to exemplar-based inpainting. - Alexander Wong; Jeff Orchard (ICIP, 2008)

Toward a Flexible and Portable CT Scanner. - Jeff Orchard; John T. W. Yeow (MICCAI (2), 2008)

Cut-out image mosaics. - Jeff Orchard; Craig S. Kaplan (NPAR, 2008)

Multimodal image registration using floating regressors in the joint intensity scatter plot. - Jeff Orchard (Medical Image Anal., 2008)

Efficient FFT-Accelerated Approach to Invariant Optical-LIDAR Registration. - Alexander Wong; Jeff Orchard (IEEE Trans. Geosci. Remote. Sens., 2008)

The discrete orthonormal Stockwell transform for image restoration. - Yanwei Wang; Jeff Orchard (ICIP, 2009)

Ensemble registration: aligning many multi-sensor images simultaneously. - Jeff Orchard; Laure Jonchery (Image Processing: Algorithms and Systems, 2009)

On the use of the Stockwell transform for image compression. - Yanwei Wang; Jeff Orchard (Image Processing: Algorithms and Systems, 2009)

Fast Discrete Orthonormal Stockwell Transform. - Yanwei Wang; Jeff Orchard (SIAM J. Sci. Comput., 2009)

Robust Multimodal Registration Using Local Phase-Coherence Representations. - Alexander Wong; Jeff Orchard (J. Signal Process. Syst., 2009)

Registering a MultiSensor Ensemble of Images. - Jeff Orchard; Richard Mann (IEEE Trans. Image Process., 2010)

Population coding in sparsely connected networks of noisy neurons. - Bryan P. Tripp; Jeff Orchard (Frontiers Comput. Neurosci., 2012)

Sensory Updates to Combat Path-Integration Drift. - Xiang Ji; Shrinu Kushagra; Jeff Orchard (Canadian AI, 2013)

Navigation by Path Integration and the Fourier Transform: A Spiking-Neuron Model. - Jeff Orchard; Hao Yang; Xiang Ji (Canadian AI, 2013)

Does the Entorhinal Cortex use the Fourier Transform? - Jeff Orchard; Hao Yang; Xiang Ji (Frontiers Comput. Neurosci., 2013)

Oscillator-Interference Models of Path Integration Do Not Require Theta Oscillations. - Jeff Orchard (Neural Comput., 2015)

Discovering grid-cell models through evolutionary computation. - Lin Wang 004; Bo Yang 001; Jeff Orchard (CEC, 2016)

The evolution of a generalized neural learning rule. - Jeff Orchard; Lin Wang 004 (IJCNN, 2016)

Improving gene expression programming using diversity preservation tournament and its application in grid cell modeling. - Lin Wang 004; Jeff Orchard; Bo Yang 001; Ajith Abraham (SMC, 2016)

Particle swarm optimization using dynamic tournament topology. - Lin Wang 004; Bo Yang 001; Jeff Orchard (Appl. Soft Comput., 2016)

Combating Adversarial Inputs Using a Predictive-Estimator Network. - Jeff Orchard; Louis Castricato (ICONIP (2), 2017)

Using Flexible Neural Trees to Seed Backpropagation. - Peng Wu; Jeff Orchard (ICONIP (1), 2017)

Segmentation and feature extraction of retinal vascular morphology. - Henry A. Leopold; Jeff Orchard; John S. Zelek; Vasudevan Lakshminarayanan (Image Processing, 2017)

Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation. - Eric Hunsberger; Victor Reyes Osorio; Jeff Orchard; Bryan P. Tripp (IEEE Access, 2017)

Improving Neural-Network Classifiers Using Nearest Neighbor Partitioning. - Lin Wang 004; Bo Yang 001; Yuehui Chen; Xiaoqian Zhang; Jeff Orchard (IEEE Trans. Neural Networks Learn. Syst., 2017)

Style Memory: Making a Classifier Network Generative. - Rey Wiyatno; Jeff Orchard (ICCI*CC, 2018)

Symmetric Predictive Estimator for Biologically Plausible Neural Learning. - David Xu 005; Andrew Clappison; Cameron Seth; Jeff Orchard (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming. - Aftab Anjum; Fengyang Sun; Lin Wang 004; Jeff Orchard (ICANN (2), 2019)

A Novel Continuous Representation of Genetic Programmings using Recurrent Neural Networks for Symbolic Regression. - Aftab Anjum; Fengyang Sun; Lin Wang 004; Jeff Orchard (CoRR, 2019)

Making Predictive Coding Networks Generative. - Jeff Orchard; Wei Sun (CoRR, 2019)

PixelBNN: Augmenting the PixelCNN with Batch Normalization and the Presentation of a Fast Architecture for Retinal Vessel Segmentation. - Henry A. Leopold; Jeff Orchard; John S. Zelek; Vasudevan Lakshminarayanan (J. Imaging, 2019)

Investigating the Evolution of a Neuroplasticity Network for Learning. - Lin Wang 004; Jeff Orchard (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Detecting Leaks in Water Distribution Pipes Using a Deep Autoencoder and Hydroacoustic Spectrograms. - Roya Allison Cody; Bryan A. Tolson; Jeff Orchard (J. Comput. Civ. Eng., 2020)

A Predictive-Coding Network That Is Both Discriminative and Generative. - Wei Sun; Jeff Orchard (Neural Comput., 2020)

Evolving Generalized Modulatory Learning: Unifying Neuromodulation and Synaptic Plasticity. - Lin Wang 004; Junteng Zheng; Jeff Orchard (IEEE Trans. Cogn. Dev. Syst., 2020)

Deconvolutional Density Network: Free-Form Conditional Density Estimation. - Bing Chen; Mazharul Islam; Lin Wang 004; Jisuo Gao; Jeff Orchard (CoRR, 2021)

Biologically-Based Neural Representations Enable Fast Online Shallow Reinforcement Learning. - Madeleine Bartlett; Terrence C. Stewart; Jeff Orchard (CogSci, 2022)

A model of path integration that connects neural and symbolic representation. - Nicole Sandra-Yaffa Dumont; Jeff Orchard; Chris Eliasmith (CogSci, 2022)

Biological Softmax: Demonstrated in Modern Hopfield Networks. - Mallory A. Snow; Jeff Orchard (CogSci, 2022)

Value Cores for Inner and Outer Alignment: Simulating Personality Formation via Iterated Policy Selection and Preference Learning with Self-World Modeling Active Inference Agents. - Adam Safron; Zahra Sheikhbahaee; Nick J. Hay; Jeff Orchard; Jesse Hoey (IWAI, 2022)

Hyperdimensional Computing with Spiking-Phasor Neurons. - Jeff Orchard; Russell Jarvis (ICONS, 2023)

Toward a Model of Associative Memory via Predictive Coding. - Ehsan Ganjidoost; Jeff Orchard (Canadian AI, 2024)

Humans Don't Get Fooled: Does Predictive Coding Defend Against Adversarial Attack? - Junteng Zheng; Jeff Orchard (Canadian AI, 2024)

Biologically-Plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-Encoded Distributions. - P. Michael Furlong; Kathryn Simone; Nicole Sandra-Yaffa Dumont; Madeleine Bartlett; Terrence C. Stewart; Jeff Orchard; Chris Eliasmith (ICANN (4), 2024)

A Recurrent Dynamic Model for Efficient Bayesian Optimization*. - P. Michael Furlong; Nicole Sandra-Yaffa Dumont; Jeff Orchard (NICE, 2024)

Online Training of Hopfield Networks using Predictive Coding. - Ehsan Ganjidoost; Mallory A. Snow; Jeff Orchard (CoRR, 2024)

Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding. - Ehsan Ganjidoost; Jeff Orchard (CoRR, 2024)

Efficient Hyperdimensional Computing With Spiking Phasors. - Jeff Orchard; P. Michael Furlong; Kathryn Simone (Neural Comput., 2024)

Enhancing Predictive Coding Networks for Multi-Modal Generation and Classification. - Ehsan Ganjidoost; Jeff Orchard (Canadian AI, 2025)

Improved Cleanup and Decoding of Fractional Power Encodings. - Alicia Bremer; Jeff Orchard (NICE, 2025)

Developing a Foundation of Vector Symbolic Architectures Using Category Theory. - Nolan P. Shaw; P. Michael Furlong; Britt Anderson; Jeff Orchard (CoRR, 2025)