Nathan D. Cahill

According to our database, Nathan D. Cahill authored at least 54 papers between 2002 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

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

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

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

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Gradient-driven unsupervised video segmentation using deep learning techniques.

Sankaranarayanan Piramanayagam, Eli Saber, Nathan D. Cahill

J. Electronic Imaging, 2020

Deep Volumetric Segmentation of Murine Cochlear Compartments from Micro-Computed Tomography Images.

Sanketh S. Moudgalya, Nathan D. Cahill, David A. Borkholder

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Memory Efficient Experience Replay for Streaming Learning.

Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan

Proceedings of the International Conference on Robotics and Automation, 2019

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

New Metrics and Experimental Paradigms for Continual Learning.

Tyler L. Hayes, Ronald Kemker, Nathan D. Cahill, Christopher Kanan

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Compassionately Conservative Balanced Cuts for Image Segmentation.

Nathan D. Cahill, Tyler L. Hayes, Renee T. Meinhold, John F. Hamilton

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Augmenting Salient Foreground Detection using Fiedler Vector for Multi-Object Segmentation.

Michal Kucer, Nathan D. Cahill, Alexander C. Loui, David W. Messinger

Proceedings of the Computational Imaging XV, Burlingame, 2017

2016

Efficiently Computing Piecewise Flat Embeddings for Data Clustering and Image Segmentation.

Renee T. Meinhold, Tyler L. Hayes, Nathan D. Cahill

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

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

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

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

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

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 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

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Interior and Exterior Shape Representations Using the Screened Poisson Equation.

Laura A. Rolston, Nathan D. Cahill

Proceedings of the Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications, 2016

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

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

Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015

Semi-Supervised Normalized Cuts for Image Segmentation.

Selene E. Chew, Nathan D. Cahill

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

The predictive power of structural MRI in Autism diagnosis.

Gajendra J. Katuwal, Nathan D. Cahill, Stefi A. Baum, Andrew Michael

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

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

Sankaranaryanan Piramanayagam, Eli Saber, Nathan D. Cahill, David Messinger

Proceedings of the Image Processing: Machine Vision Applications VIII, 2015

Classification of hyperspectral images based on conditional random fields.

Yang Hu, Eli Saber, Sildomar T. Monteiro, Nathan D. Cahill, David W. Messinger

Proceedings of the Image Processing: Machine Vision Applications VIII, 2015

2014

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

Nathan D. Cahill, D. Benjamin Start, Selene E. Chew

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 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

Proceedings of the Human Vision and Electronic Imaging XIX, 2014

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

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

Proceedings of the Eye Tracking Research and Applications, 2014

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

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

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Nearly rigid descriptor-based matching for volume reconstruction from histological sections.

Shaohui Sun, Nzola De Magalhães, Nathan D. Cahill

Proceedings of the Medical Imaging 2012: 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

Proceedings of the Medical Imaging 2012: Image Processing, 2012

Low bandwidth eye tracker for scanning laser ophthalmoscopy.

Zachary Harvey, Alfredo Dubra, Nathan D. Cahill, Sonia Lopez-Alarcon

Proceedings of the Medical Imaging 2012: Image Processing, 2012

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

Nathan D. Cahill

Proceedings of the Medical Imaging 2012: Image Processing, 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

Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012

Novel spectral similarity measure for high resolution urban scenes.

Bin Chen, Anthony Vodacek, Nathan D. Cahill

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

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

Proceedings of the Medical Imaging 2011: Image Processing, 2011

Rapid DFT-based variational image registration with sliding boundary conditions.

Troy J. Winkstern, Nathan D. Cahill

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Image registration using an extendable quadratic regulariser.

Andrew Melbourne, Nathan D. Cahill, Christine Tanner, David J. Hawkes

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010

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

Nathan D. Cahill

Proceedings of the Biomedical Image Registration, 4th International Workshop, 2010

Extending the quadratic taxonomy of regularizers for nonparametric registration.

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

Proceedings of the Medical Imaging 2010: Image Processing, 2010

Accounting for changing overlap in variational image registration.

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

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009

Overlap invariance of cumulative residual entropy measures for multimodal image alignment.

Nathan D. Cahill, Julia A. Schnabel, J. Alison Noble, David J. Hawkes

Proceedings of the Medical Imaging 2009: Image Processing, 2009

A Demons Algorithm for Image Registration with Locally Adaptive Regularization.

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Demons Algorithms for Fluid and Curvature Registration.

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

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Learning similarity measure for multi-modal 3D image registration.

Daewon Lee, Matthias Hofmann, Florian Steinke, Yasemin Altun, Nathan D. Cahill, Bernhard Schölkopf

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

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

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Revisiting overlap invariance in medical image alignment.

Nathan D. Cahill, Julia A. Schnabel, J. Alison Noble, David J. Hawkes

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007

Fast Fluid Registration with Dirichlet Boundary Conditions: A Transform-Based Approach.

Nathan D. Cahill, J. Alison Noble, David J. Hawkes, Lawrence A. Ray

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Fourier Methods for Nonparametric Image Registration.

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

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

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

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2003

Convex n-Gons: 10936.

Andor Lukács, Szilárd András, Nathan D. Cahill

Am. Math. Mon., 2003

Toward effectively generating environment maps.

Shoupu Chen, Nathan D. Cahill, Lawrence A. Ray

J. Electronic Imaging, 2003

2002

A practical approach to creating environment maps using digital images.

Shoupu Chen, Nathan D. Cahill, Lawrence A. Ray

Proceedings of the 2002 International Conference on Image Processing, 2002