N. Cahill

Nathan D. Cahill, Sanketh S. Moudgalya, David A. Borkholder, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

- 1-Automatic Global Alignment of Aerial Imagery

Andrew C. Gallagher, N. Cahill, 2004 .

Classification of hyperspectral images based on conditional random fields

Yang Hu, Nathan D. Cahill, Sildomar T. Monteiro, 2015, Electronic Imaging.

Sex and Age Effects of Functional Connectivity in Early Adulthood

Nathan D. Cahill, Chao Zhang, Stefi A. Baum, 2016, Brain Connect..

ICA-fNORM: Spatial Normalization of fMRI Data Using Intrinsic Group-ICA Networks

Vince D. Calhoun, Nathan D. Cahill, Godfrey Pearlson, 2011, Front. Syst. Neurosci..

Motion coherent image registration and demons: practical handling of deformation boundaries

Nathan D. Cahill, N. Cahill, 2012, Medical Imaging.

A comprehensive comparison of graph theory metrics for social networks

Nathan D. Cahill, Darren A. Narayan, Bryan Ek, 2015, Social Network Analysis and Mining.

Normalized Measures of Mutual Information with General Definitions of Entropy for Multimodal Image Registration

Nathan D. Cahill, N. Cahill, 2010, WBIR.

The predictive power of structural MRI in Autism diagnosis

Nathan D. Cahill, Stefi A. Baum, Andrew Michael, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Semi-supervised normalized embeddings for land-use classification from multiple view data

Nathan D. Cahill, Poppy G. Immel, N. Cahill, 2018, Defense + Security.

Transitive Inverse Consistent Rigid Longitudinal Registration of Diffusion Weighted Magnetic Resonance Imaging: A Case Study in Athletes With Repetitive Non-Concussive Head Injuries

N. Cahill, C. Linte, J. Bazarian, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Cochlear pharmacokinetics - Micro-computed tomography and learning-prediction modeling for transport parameter determination

Nathan D. Cahill, Sanketh S. Moudgalya, David A. Borkholder, 2019, Hearing Research.

Divide and Conquer: Sub-Grouping of ASD Improves ASD Detection Based on Brain Morphometry

Andrew M Michael, Gajendra J. Katuwal, N. Cahill, 2016, PloS one.

Robust Spatial Filtering With Graph Convolutional Neural Networks

Nathan D. Cahill, Chao Zhang, Shagan Sah, 2017, IEEE Journal of Selected Topics in Signal Processing.

Generalized relationships between characteristic path length, efficiency, clustering coefficients, and density

N. Cahill, D. Narayan, A. Strang, 2018, Social Network Analysis and Mining.

Global optimization: techniques and applications

Nathan Cahill, N. Cahill, 2000 .

Memory Efficient Experience Replay for Streaming Learning

Nathan D. Cahill, Christopher Kanan, Tyler L. Hayes, 2018, 2019 International Conference on Robotics and Automation (ICRA).

A Novel Adaptive Scheme for Evaluating Spectral Similarity in High-Resolution Urban Scenes

Bin Chen, Nathan D. Cahill, Anthony Vodacek, 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Novel spectral similarity measure for high resolution urban scenes

Bin Chen, Nathan D. Cahill, Anthony Vodacek, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Semi-Supervised Normalized Cuts for Image Segmentation

Nathan D. Cahill, Selene E. Chew, N. Cahill, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Generalized relationships between characteristic path length, efficiency, clustering coefficients, and density

Nathan D. Cahill, Darren A. Narayan, Alexander Strang, 2018, Social Network Analysis and Mining.

New Metrics and Experimental Paradigms for Continual Learning

Nathan D. Cahill, Ronald Kemker, Christopher Kanan, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Manifold alignment with Schroedinger eigenmaps

Nathan D. Cahill, Charles M. Bachmann, Juan E. Johnson, 2016, SPIE Defense + Security.

Fibonacci Determinants

Nathan D. Cahill, Darren A. Narayan, N. Cahill, 2002 .

A comparison of sequential and GPU-accelerated implementations of B-spline signal processing operations for 2-D and 3-D images

Nathan D. Cahill, Sonia Lopez-Alarcon, Alex Karantza, 2012, 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA).

A comprehensive comparison of graph theory metrics for social networks

N. Cahill, D. Narayan, Caitlin VerSchneider, 2015, Social Network Analysis and Mining.

Semi-supervised deep autoencoder network for graph-based dimensionality reduction of hyperspectral imagery

Nathan D. Cahill, Xuewen Zhang, N. Cahill, 2018, Defense + Security.

Piecewise flat embeddings for hyperspectral image analysis

Nathan D. Cahill, Tyler L. Hayes, John F. Hamilton, 2017, Defense + Security.

Overlap invariance of cumulative residual entropy measures for multimodal image alignment

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2009, Medical Imaging.

Revisiting overlap invariance in medical image alignment

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

A Demons Algorithm for Image Registration with Locally Adaptive Regularization

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2009, MICCAI.

Accounting for changing overlap in variational image registration

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Schroedinger Eigenmaps with nondiagonal potentials for spatial-spectral clustering of hyperspectral imagery

Wojciech Czaja, Nathan D. Cahill, David W. Messinger, 2014, Defense + Security Symposium.

SLIC superpixels for efficient graph-based dimensionality reduction of hyperspectral imagery

Nathan D. Cahill, Xuewen Zhang, Zhenlin Xu, 2015, Defense + Security Symposium.

Bernhard Schölkopf, Florian Steinke, Daewon Lee, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

A feature-based affine registration method for capturing background lung tissue deformation for ground glass nodule tracking

M. Niethammer, N. Cahill, D. Shrier, 2021, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Near Real-time Learning and Extraction of Attack Models from Intrusion Alerts pdf

Nathan D. Cahill, Shanchieh Jay Yang, Gordon Werner, 2021, ArXiv.

Vela Pulsar: Single Pulses Analysis with Machine Learning Techniques

C. Lousto, N. Cahill, Linwei Wang, 2021, 2108.13462.

Low-dimensional representations of hyperspectral data for use in CRF-based classification

Yang Hu, Nathan D. Cahill, Sildomar T. Monteiro, 2015, SPIE Remote Sensing.

Extending the quadratic taxonomy of regularizers for nonparametric registration

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2010, Medical Imaging.

Incorporating Prior Knowledge on Class Probabilities into Local Similarity Measures for Intermodality Image Registration

Bernhard Schölkopf, Nathan D. Cahill, Matthias Hofmann, 2009 .

Fourier Methods for Nonparametric Image Registration

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Integrating Atlas and Graph Cut Methods for LV Segmentation from Cardiac Cine MRI pdf

Nathan D. Cahill, Cristian A. Linte, Shusil Dangi, 2016, ArXiv.

Integrating Atlas and Graph Cut Methods for Left Ventricle Segmentation from Cardiac Cine MRI

Nathan D. Cahill, Cristian A. Linte, Shusil Dangi, 2016, STACOM@MICCAI.

Shot boundary detection and label propagation for spatio-temporal video segmentation

Nathan D. Cahill, David W. Messinger, Eli Saber, 2015, Electronic Imaging.

Toward an Affine Feature-Based Registration Method for Ground Glass Lung Nodule Tracking.

Nathan D. Cahill, Cristian A. Linte, María Helguera, 2019, VipIMAGE 2019 : proceedings of the VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, October 16-18, 2019, Porto, Portugal. VipIMAGE (Conference).

Modularity versus Laplacian Eigenmaps for dimensionality reduction and classification of hyperspectral imagery

Nathan D. Cahill, Selene E. Chew, D. Benjamin Start, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Cochlear pharmacokinetics - Micro-computed tomography and learning-prediction modeling for transport parameter determination

Sanketh S. Moudgalya, R. Frisina, N. Cahill, 2019, Hearing Research.

Eye-movement sequence statistics and hypothesis-testing with classical recurrence analysis

Nathan D. Cahill, Jeff B. Pelz, Tommy P. Keane, 2014, ETRA.

Image sequence event detection VIA recurrence analysis

Nathan D. Cahill, Jeff B. Pelz, Tommy P. Keane, 2013, 2013 IEEE Western New York Image Processing Workshop (WNYIPW).