A practical approach to creating environment maps using digital images. - Shoupu Chen; Nathan D. Cahill; Lawrence A. Ray (ICIP (3), 2002)

Toward effectively generating environment maps. - Shoupu Chen; Nathan D. Cahill; Lawrence A. Ray (J. Electronic Imaging, 2003)

Convex n-Gons: 10936. - Andor Lukács; Szilárd András; Nathan D. Cahill (Am. Math. Mon., 2003)

Incorporating spatial information into entropy estimates to improve multimodal image registration. - Nathan D. Cahill; Cranos M. Williams; Shoupu Chen; Lawrence A. Ray; Marvin M. Goodgame (ISBI, 2006)

Fourier Methods for Nonparametric Image Registration. - Nathan D. Cahill; J. Alison Noble; David J. Hawkes (CVPR, 2007)

Fast Fluid Registration with Dirichlet Boundary Conditions: A Transform-Based Approach. - Nathan D. Cahill; J. Alison Noble; David J. Hawkes; Lawrence A. Ray (ISBI, 2007)

Revisiting overlap invariance in medical image alignment. - Nathan D. Cahill; Julia A. Schnabel; J. Alison Noble; David J. Hawkes (CVPR Workshops, 2008)

Investigating implicit shape representations for alignment of livers from serial CT examinations. - Nathan D. Cahill; Grace Vesom; Lena Gorelick; Joanne Brady; J. Alison Noble; J. Michael Brady (ISBI, 2008)

Learning similarity measure for multi-modal 3D image registration. - Daewon Lee; Matthias Hofmann; Florian Steinke; Yasemin Altun; Nathan D. Cahill; Bernhard Schölkopf (CVPR, 2009)

Demons Algorithms for Fluid and Curvature Registration. - Nathan D. Cahill; J. Alison Noble; David J. Hawkes (ISBI, 2009)

A Demons Algorithm for Image Registration with Locally Adaptive Regularization. - Nathan D. Cahill; J. Alison Noble; David J. Hawkes (MICCAI (1), 2009)

Overlap invariance of cumulative residual entropy measures for multimodal image alignment. - Nathan D. Cahill; Julia A. Schnabel; J. Alison Noble; David J. Hawkes (Image Processing, 2009)

Accounting for changing overlap in variational image registration. - Nathan D. Cahill; J. Alison Noble; David J. Hawkes (ISBI, 2010)

Extending the quadratic taxonomy of regularizers for nonparametric registration. - Nathan D. Cahill; J. Alison Noble; David J. Hawkes (Image Processing, 2010)

Normalized Measures of Mutual Information with General Definitions of Entropy for Multimodal Image Registration. - Nathan D. Cahill (WBIR, 2010)

Image registration using an extendable quadratic regulariser. - Andrew Melbourne; Nathan D. Cahill; Christine Tanner; David J. Hawkes (ISBI, 2011)

Rapid DFT-based variational image registration with sliding boundary conditions. - Troy J. Winkstern; Nathan D. Cahill (ISBI, 2011)

A new metric to measure shape differences in fMRI activity. - Siddharth Khullar; Andrew Michael; Nicolle M. Correa; Tülay Adali; Nathan D. Cahill; Stefi A. Baum; Vince D. Calhoun (Image Processing, 2011)

Novel spectral similarity measure for high resolution urban scenes. - Bin Chen; Anthony Vodacek; Nathan D. Cahill (IGARSS, 2012)

A comparison of sequential and GPU-accelerated implementations of B-spline signal processing operations for 2-D and 3-D images. - Alex Karantza; Sonia Lopez Alarcon; Nathan D. Cahill (IPTA, 2012)

Motion coherent image registration and demons: practical handling of deformation boundaries. - Nathan D. Cahill (Image Processing, 2012)

Low bandwidth eye tracker for scanning laser ophthalmoscopy. - Zachary Harvey; Alfredo Dubra; Nathan D. Cahill; Sonia Lopez Alarcon (Image Processing, 2012)

Using fractional gradient information in non-rigid image registration: application to breast MRI. - Andrew Melbourne; Nathan D. Cahill; Christine Tanner; Marc Modat; David J. Hawkes; Sébastien Ourselin (Image Processing, 2012)

Nearly rigid descriptor-based matching for volume reconstruction from histological sections. - Shaohui Sun; Nzola De Magalhães; Nathan D. Cahill (Image Processing, 2012)

Nonrigid image registration with two-sided space-fractional partial differential equations. - Clarissa C. Garvey; Nathan D. Cahill; Andrew Melbourne; Christine Tanner; Sébastien Ourselin; David J. Hawkes (ICIP, 2013)

A Novel Adaptive Scheme for Evaluating Spectral Similarity in High-Resolution Urban Scenes. - Bin Chen; Anthony Vodacek; Nathan D. Cahill (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Eye-movement sequence statistics and hypothesis-testing with classical recurrence analysis. - Tommy P. Keane; Nathan D. Cahill; Jeff B. Pelz (ETRA, 2014)

Computer vision enhances mobile eye-tracking to expose expert cognition in natural-scene visual-search tasks. - Tommy P. Keane; Nathan D. Cahill; John A. Tarduno; Robert A. Jacobs; Jeff B. Pelz (Human Vision and Electronic Imaging, 2014)

Modularity versus Laplacian Eigenmaps for dimensionality reduction and classification of hyperspectral imagery. - Nathan D. Cahill; D. Benjamin Start; Selene E. Chew (WHISPERS, 2014)

Classification of hyperspectral images based on conditional random fields. - Yang Hu; Eli Saber; Sildomar T. Monteiro; Nathan D. Cahill; David W. Messinger (Image Processing: Machine Vision Applications, 2015)

Shot boundary detection and label propagation for spatio-temporal video segmentation. - Sankaranaryanan Piramanayagam; Eli Saber; Nathan D. Cahill; David Messinger (Image Processing: Machine Vision Applications, 2015)

The predictive power of structural MRI in Autism diagnosis. - Gajendra J. Katuwal; Nathan D. Cahill; Stefi A. Baum; Andrew Michael (EMBC, 2015)

Semi-Supervised Normalized Cuts for Image Segmentation. - Selene E. Chew; Nathan D. Cahill (ICCV, 2015)

Endocardial left ventricle feature tracking and reconstruction from tri-plane trans-esophageal echocardiography data. - Shusil Dangi; Yehuda Kfir Ben-Zikri; Nathan D. Cahill; Karl Q. Schwarz; Cristian A. Linte (Image-Guided Procedures, 2015)

A comprehensive comparison of graph theory metrics for social networks. - Bryan Ek; Caitlin VerSchneider; Nathan D. Cahill; Darren A. Narayan (Soc. Netw. Anal. Min., 2015)

Interior and Exterior Shape Representations Using the Screened Poisson Equation. - Laura A. Rolston; Nathan D. Cahill (CompIMAGE, 2016)

Using superpixels to improve the efficiency of Laplacian Eigenmap based methods for target detection in hyperspectral imagery. - Xuewen Zhang; Yilong Liang; Nathan D. Cahill (IGARSS, 2016)

Integrating Atlas and Graph Cut Methods for Left Ventricle Segmentation from Cardiac Cine MRI. - Shusil Dangi; Nathan D. Cahill; Cristian A. Linte (STACOM@MICCAI, 2016)

Sex and Age Effects of Functional Connectivity in Early Adulthood. - Chao Zhang; Nathan D. Cahill; Mohammad R. Arbabshirani; Tonya White; Stefi A. Baum; Andrew M. Michael (Brain Connect., 2016)

Multiple-View Spectral Clustering for Group-wise Functional Community Detection. - Nathan D. Cahill; Harmeet Singh; Chao Zhang; Daryl A. Corcoran; Alison M. Prengaman; Paul S. Wenger; John F. Hamilton; Peter Bajorski; Andrew M. Michael (CoRR, 2016)

Integrating Atlas and Graph Cut Methods for LV Segmentation from Cardiac Cine MRI. - Shusil Dangi; Nathan D. Cahill; Cristian A. Linte (CoRR, 2016)

Efficiently Computing Piecewise Flat Embeddings for Data Clustering and Image Segmentation. - Renee T. Meinhold; Tyler L. Hayes; Nathan D. Cahill (CoRR, 2016)

Augmenting Salient Foreground Detection using Fiedler Vector for Multi-Object Segmentation. - Michal Kucer; Nathan D. Cahill; Alexander C. Loui; David W. Messinger (Computational Imaging, 2017)

Robust Spatial Filtering With Graph Convolutional Neural Networks. - Felipe Petroski Such; Shagan Sah; Miguel Domínguez; Suhas Pillai; Chao Zhang; Andrew Michael; Nathan D. Cahill; Raymond W. Ptucha (IEEE J. Sel. Top. Signal Process., 2017)

Compassionately Conservative Balanced Cuts for Image Segmentation. - Nathan D. Cahill; Tyler L. Hayes; Renee T. Meinhold; John F. Hamilton (CVPR, 2018)

New Metrics and Experimental Paradigms for Continual Learning. - Tyler L. Hayes; Ronald Kemker; Nathan D. Cahill; Christopher Kanan (CVPR Workshops, 2018)

Generalized relationships between characteristic path length, efficiency, clustering coefficients, and density. - Alexander Strang; Oliver Haynes; Nathan D. Cahill; Darren A. Narayan (Soc. Netw. Anal. Min., 2018)

Memory Efficient Experience Replay for Streaming Learning. - Tyler L. Hayes; Nathan D. Cahill; Christopher Kanan (ICRA, 2019)

Deep Volumetric Segmentation of Murine Cochlear Compartments from Micro-Computed Tomography Images. - Sanketh S. Moudgalya; Nathan D. Cahill; David A. Borkholder (EMBC, 2020)

Gradient-driven unsupervised video segmentation using deep learning techniques. - Sankaranarayanan Piramanayagam; Eli Saber; Nathan D. Cahill (J. Electronic Imaging, 2020)

Transitive Inverse Consistent Rigid Longitudinal Registration of Diffusion Weighted Magnetic Resonance Imaging: A Case Study in Athletes With Repetitive Non-Concussive Head Injuries. - Harshkumar S. Prajapati; Kian Merchant-Borna; Jeffrey J. Bazarian; Cristian A. Linte; Nathan D. Cahill (EMBC, 2021)

Near Real-time Learning and Extraction of Attack Models from Intrusion Alerts. - Shanchieh Jay Yang; Ahmet Okutan; Gordon Werner; Shao-Hsuan Su; Ayush Goel; Nathan D. Cahill (CoRR, 2021)

Pairwise versus transitive inverse consistent longitudinal rigid registration of magnetic resonance images of athletes with repetitive non-concussive head injuries: effects on regional distributions of diffusion measures. - Harshkumar S. Prajapati; Kian Merchant-Borna; Jeffrey J. Bazarian; Cristian A. Linte; Nathan D. Cahill (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

A feature-based affine registration method for capturing background lung tissue deformation for ground glass nodule tracking. - Yehuda K. Ben-Zikri; María Helguera; David Fetzer; David A. Shrier; Stephen R. Aylward; Deepak Chittajallu; Marc Niethammer; Nathan D. Cahill; Cristian A. Linte (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)