Nathan D. Cahill

57 papers A* 5B 9C 2Journal 16Unranked 25

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