Nathan D. Cahill

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 22

Top Topics

Image Segmentation

Top Venues

Soc. Netw. Anal. Min.

Image Processing: Machine Vision Applications

Publications

Yehuda K. Ben-Zikri, María Helguera, David Fetzer, David A. Shrier, Stephen R. Aylward, Deepak Chittajallu, Marc Niethammer, Nathan D. Cahill, Cristian A. Linte
A feature-based affine registration method for capturing background lung tissue deformation for ground glass nodule tracking. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10 (5) (2022)
Harshkumar S. Prajapati, Kian Merchant-Borna, Jeffrey J. Bazarian, Cristian A. Linte, Nathan D. Cahill
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. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
Shanchieh Jay Yang, Ahmet Okutan, Gordon Werner, Shao-Hsuan Su, Ayush Goel, Nathan D. Cahill
Near Real-time Learning and Extraction of Attack Models from Intrusion Alerts. CoRR (2021)
Harshkumar S. Prajapati, Kian Merchant-Borna, Jeffrey J. Bazarian, Cristian A. Linte, Nathan D. Cahill
Transitive Inverse Consistent Rigid Longitudinal Registration of Diffusion Weighted Magnetic Resonance Imaging: A Case Study in Athletes With Repetitive Non-Concussive Head Injuries. EMBC (2021)
Sanketh S. Moudgalya, Nathan D. Cahill, David A. Borkholder
Deep Volumetric Segmentation of Murine Cochlear Compartments from Micro-Computed Tomography Images. EMBC (2020)
Sankaranarayanan Piramanayagam, Eli Saber, Nathan D. Cahill
Gradient-driven unsupervised video segmentation using deep learning techniques. J. Electronic Imaging 29 (1) (2020)
Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan
Memory Efficient Experience Replay for Streaming Learning. ICRA (2019)
Nathan D. Cahill, Tyler L. Hayes, Renee T. Meinhold, John F. Hamilton
Compassionately Conservative Balanced Cuts for Image Segmentation. CVPR (2018)
Tyler L. Hayes, Ronald Kemker, Nathan D. Cahill, Christopher Kanan
New Metrics and Experimental Paradigms for Continual Learning. CVPR Workshops (2018)
Nathan D. Cahill, Tyler L. Hayes, Renee T. Meinhold, John F. Hamilton
Compassionately Conservative Balanced Cuts for Image Segmentation. CoRR (2018)
Alexander Strang, Oliver Haynes, Nathan D. Cahill, Darren A. Narayan
Generalized relationships between characteristic path length, efficiency, clustering coefficients, and density. Soc. Netw. Anal. Min. 8 (1) (2018)
Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan
Memory Efficient Experience Replay for Streaming Learning. CoRR (2018)
Felipe Petroski Such, Shagan Sah, Miguel Domínguez, Suhas Pillai, Chao Zhang, Andrew Michael, Nathan D. Cahill, Raymond W. Ptucha
Robust Spatial Filtering with Graph Convolutional Neural Networks. CoRR (2017)
Felipe Petroski Such, Shagan Sah, Miguel Domínguez, Suhas Pillai, Chao Zhang, Andrew Michael, Nathan D. Cahill, Raymond W. Ptucha
Robust Spatial Filtering With Graph Convolutional Neural Networks. IEEE J. Sel. Top. Signal Process. 11 (6) (2017)
Michal Kucer, Nathan D. Cahill, Alexander C. Loui, David W. Messinger
Augmenting Salient Foreground Detection using Fiedler Vector for Multi-Object Segmentation. Computational Imaging (2017)
Shusil Dangi, Nathan D. Cahill, Cristian A. Linte
Integrating Atlas and Graph Cut Methods for LV Segmentation from Cardiac Cine MRI. CoRR (2016)
Nathan D. Cahill, Harmeet Singh, Chao Zhang, Daryl A. Corcoran, Alison M. Prengaman, Paul S. Wenger, John F. Hamilton, Peter Bajorski, Andrew M. Michael
Multiple-View Spectral Clustering for Group-wise Functional Community Detection. CoRR (2016)
Laura A. Rolston, Nathan D. Cahill
Interior and Exterior Shape Representations Using the Screened Poisson Equation. CompIMAGE (2016)
Shusil Dangi, Nathan D. Cahill, Cristian A. Linte
Integrating Atlas and Graph Cut Methods for Left Ventricle Segmentation from Cardiac Cine MRI. STACOM@MICCAI (2016)
Xuewen Zhang, Yilong Liang, Nathan D. Cahill
Using superpixels to improve the efficiency of Laplacian Eigenmap based methods for target detection in hyperspectral imagery. IGARSS (2016)
Chao Zhang, Nathan D. Cahill, Mohammad R. Arbabshirani, Tonya White, Stefi A. Baum, Andrew M. Michael
Sex and Age Effects of Functional Connectivity in Early Adulthood. Brain Connect. 6 (9) (2016)
Renee T. Meinhold, Tyler L. Hayes, Nathan D. Cahill
Efficiently Computing Piecewise Flat Embeddings for Data Clustering and Image Segmentation. CoRR (2016)
Gajendra J. Katuwal, Nathan D. Cahill, Stefi A. Baum, Andrew Michael
The predictive power of structural MRI in Autism diagnosis. EMBC (2015)
Shusil Dangi, Yehuda Kfir Ben-Zikri, Nathan D. Cahill, Karl Q. Schwarz, Cristian A. Linte
Endocardial left ventricle feature tracking and reconstruction from tri-plane trans-esophageal echocardiography data. Medical Imaging: Image-Guided Procedures (2015)
Yang Hu, Eli Saber, Sildomar T. Monteiro, Nathan D. Cahill, David W. Messinger
Classification of hyperspectral images based on conditional random fields. Image Processing: Machine Vision Applications (2015)
Selene E. Chew, Nathan D. Cahill
Semi-Supervised Normalized Cuts for Image Segmentation. ICCV (2015)
Sankaranaryanan Piramanayagam, Eli Saber, Nathan D. Cahill, David Messinger
Shot boundary detection and label propagation for spatio-temporal video segmentation. Image Processing: Machine Vision Applications (2015)
Bryan Ek, Caitlin VerSchneider, Nathan D. Cahill, Darren A. Narayan
A comprehensive comparison of graph theory metrics for social networks. Soc. Netw. Anal. Min. 5 (1) (2015)
Tommy P. Keane, Nathan D. Cahill, Jeff B. Pelz
Eye-movement sequence statistics and hypothesis-testing with classical recurrence analysis. ETRA (2014)
Tommy P. Keane, Nathan D. Cahill, John A. Tarduno, Robert A. Jacobs, Jeff B. Pelz
Computer vision enhances mobile eye-tracking to expose expert cognition in natural-scene visual-search tasks. Human Vision and Electronic Imaging (2014)
Nathan D. Cahill, D. Benjamin Start, Selene E. Chew
Modularity versus Laplacian Eigenmaps for dimensionality reduction and classification of hyperspectral imagery. WHISPERS (2014)
Bin Chen, Anthony Vodacek, Nathan D. Cahill
A Novel Adaptive Scheme for Evaluating Spectral Similarity in High-Resolution Urban Scenes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6 (3) (2013)
Clarissa C. Garvey, Nathan D. Cahill, Andrew Melbourne, Christine Tanner, Sébastien Ourselin, David J. Hawkes
Nonrigid image registration with two-sided space-fractional partial differential equations. ICIP (2013)
Andrew Melbourne, Nathan D. Cahill, Christine Tanner, Marc Modat, David J. Hawkes, Sébastien Ourselin
Using fractional gradient information in non-rigid image registration: application to breast MRI. Medical Imaging: Image Processing (2012)
Bin Chen, Anthony Vodacek, Nathan D. Cahill
Novel spectral similarity measure for high resolution urban scenes. IGARSS (2012)
Shaohui Sun, Nzola De Magalhães, Nathan D. Cahill
Nearly rigid descriptor-based matching for volume reconstruction from histological sections. Medical Imaging: Image Processing (2012)
Zachary Harvey, Alfredo Dubra, Nathan D. Cahill, Sonia Lopez-Alarcon
Low bandwidth eye tracker for scanning laser ophthalmoscopy. Medical Imaging: Image Processing (2012)
Nathan D. Cahill
Motion coherent image registration and demons: practical handling of deformation boundaries. Medical Imaging: Image Processing (2012)
Alex Karantza, Sonia Lopez-Alarcon, Nathan D. Cahill
A comparison of sequential and GPU-accelerated implementations of B-spline signal processing operations for 2-D and 3-D images. IPTA (2012)
Andrew Melbourne, Nathan D. Cahill, Christine Tanner, David J. Hawkes
Image registration using an extendable quadratic regulariser. ISBI (2011)
Siddharth Khullar, Andrew Michael, Nicolle M. Correa, Tülay Adali, Nathan D. Cahill, Stefi A. Baum, Vince D. Calhoun
A new metric to measure shape differences in fMRI activity. Medical Imaging: Image Processing (2011)
Troy J. Winkstern, Nathan D. Cahill
Rapid DFT-based variational image registration with sliding boundary conditions. ISBI (2011)
Nathan D. Cahill, J. Alison Noble, David J. Hawkes
Extending the quadratic taxonomy of regularizers for nonparametric registration. Medical Imaging: Image Processing (2010)
Nathan D. Cahill
Normalized Measures of Mutual Information with General Definitions of Entropy for Multimodal Image Registration. WBIR (2010)
Nathan D. Cahill, J. Alison Noble, David J. Hawkes
Accounting for changing overlap in variational image registration. ISBI (2010)
Nathan D. Cahill, J. Alison Noble, David J. Hawkes
Demons Algorithms for Fluid and Curvature Registration. ISBI (2009)
Daewon Lee, Matthias Hofmann, Florian Steinke, Yasemin Altun, Nathan D. Cahill, Bernhard Schölkopf
Learning similarity measure for multi-modal 3D image registration. CVPR (2009)
Nathan D. Cahill, J. Alison Noble, David J. Hawkes
A Demons Algorithm for Image Registration with Locally Adaptive Regularization. MICCAI (1) (2009)
Nathan D. Cahill, Julia A. Schnabel, J. Alison Noble, David J. Hawkes
Overlap invariance of cumulative residual entropy measures for multimodal image alignment. Medical Imaging: Image Processing (2009)
Nathan D. Cahill, Grace Vesom, Lena Gorelick, Joanne Brady, J. Alison Noble, J. Michael Brady
Investigating implicit shape representations for alignment of livers from serial CT examinations. ISBI (2008)
Nathan D. Cahill, Julia A. Schnabel, J. Alison Noble, David J. Hawkes
Revisiting overlap invariance in medical image alignment. CVPR Workshops (2008)
Nathan D. Cahill, J. Alison Noble, David J. Hawkes
Fourier Methods for Nonparametric Image Registration. CVPR (2007)
Nathan D. Cahill, J. Alison Noble, David J. Hawkes, Lawrence A. Ray
Fast Fluid Registration with Dirichlet Boundary Conditions: A Transform-Based Approach. ISBI (2007)
Nathan D. Cahill, Cranos M. Williams, Shoupu Chen, Lawrence A. Ray, Marvin M. Goodgame
Incorporating spatial information into entropy estimates to improve multimodal image registration. ISBI (2006)
Andor Lukács, Szilárd András, Nathan D. Cahill
Convex n-Gons: 10936. Am. Math. Mon. 110 (6) (2003)
Shoupu Chen, Nathan D. Cahill, Lawrence A. Ray
Toward effectively generating environment maps. J. Electronic Imaging 12 (2) (2003)
Shoupu Chen, Nathan D. Cahill, Lawrence A. Ray
A practical approach to creating environment maps using digital images. ICIP (3) (2002)