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ORCIDNathan D. Cahill
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- affiliation: Rochester Institute of Technology, Rochester, NY, USA
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2020 – today
- 2022
[j9]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): 521-539 (2022)- [c41]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 - 2021
- [c40]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: 3906-3911 - [i7]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 abs/2103.13902 (2021) - 2020
- [j8]Sankaranarayanan Piramanayagam, Eli Saber, Nathan D. Cahill:
Gradient-driven unsupervised video segmentation using deep learning techniques. J. Electronic Imaging 29(1): 013019 (2020) - [c39]Sanketh S. Moudgalya, Nathan D. Cahill, David A. Borkholder:
Deep Volumetric Segmentation of Murine Cochlear Compartments from Micro-Computed Tomography Images. EMBC 2020: 1970-1975
2010 – 2019
- 2019
- [c38]Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan:
Memory Efficient Experience Replay for Streaming Learning. ICRA 2019: 9769-9776 - 2018
- [j7]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): 14 (2018) - [c37]Nathan D. Cahill, Tyler L. Hayes, Renee T. Meinhold, John F. Hamilton:
Compassionately Conservative Balanced Cuts for Image Segmentation. CVPR 2018: 1683-1691 - [c36]Tyler L. Hayes, Ronald Kemker, Nathan D. Cahill, Christopher Kanan:
New Metrics and Experimental Paradigms for Continual Learning. CVPR Workshops 2018: 2031-2034 - [i6]Nathan D. Cahill, Tyler L. Hayes, Renee T. Meinhold, John F. Hamilton:
Compassionately Conservative Balanced Cuts for Image Segmentation. CoRR abs/1803.09903 (2018) - [i5]Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan:
Memory Efficient Experience Replay for Streaming Learning. CoRR abs/1809.05922 (2018) - 2017
- [j6]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): 884-896 (2017) - [c35]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: 116-121 - [i4]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 abs/1703.00792 (2017) - 2016
- [j5]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): 700-713 (2016) - [c34]Laura A. Rolston, Nathan D. Cahill:
Interior and Exterior Shape Representations Using the Screened Poisson Equation. CompIMAGE 2016: 118-131 - [c33]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: 5876-5879 - [c32]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: 76-86 - [i3]Shusil Dangi, Nathan D. Cahill, Cristian A. Linte:
Integrating Atlas and Graph Cut Methods for LV Segmentation from Cardiac Cine MRI. CoRR abs/1611.01195 (2016) - [i2]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 abs/1611.06981 (2016) - [i1]Renee T. Meinhold, Tyler L. Hayes, Nathan D. Cahill:
Efficiently Computing Piecewise Flat Embeddings for Data Clustering and Image Segmentation. CoRR abs/1612.06496 (2016) - 2015
- [j4]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): 37:1-37:7 (2015) - [c31]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: 94050D - [c30]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: 940510 - [c29]Gajendra J. Katuwal, Nathan D. Cahill, Stefi A. Baum, Andrew Michael:
The predictive power of structural MRI in Autism diagnosis. EMBC 2015: 4270-4273 - [c28]Selene E. Chew, Nathan D. Cahill:
Semi-Supervised Normalized Cuts for Image Segmentation. ICCV 2015: 1716-1723 - [c27]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: 941505 - 2014
- [c26]Tommy P. Keane, Nathan D. Cahill, Jeff B. Pelz:
Eye-movement sequence statistics and hypothesis-testing with classical recurrence analysis. ETRA 2014: 143-150 - [c25]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: 90140F - [c24]Nathan D. Cahill, D. Benjamin Start, Selene E. Chew:
Modularity versus Laplacian Eigenmaps for dimensionality reduction and classification of hyperspectral imagery. WHISPERS 2014: 1-4 - 2013
- [j3]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): 1376-1385 (2013) - [c23]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: 747-751 - 2012
- [c22]Bin Chen, Anthony Vodacek, Nathan D. Cahill:
Novel spectral similarity measure for high resolution urban scenes. IGARSS 2012: 6637-6640 - [c21]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: 74-79 - [c20]Nathan D. Cahill:
Motion coherent image registration and demons: practical handling of deformation boundaries. Medical Imaging: Image Processing 2012: 83141R - [c19]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: 83141Z - [c18]Shaohui Sun, Nzola De Magalhães, Nathan D. Cahill:
Nearly rigid descriptor-based matching for volume reconstruction from histological sections. Medical Imaging: Image Processing 2012: 831417 - [c17]Zachary Harvey, Alfredo Dubra, Nathan D. Cahill, Sonia Lopez Alarcon:
Low bandwidth eye tracker for scanning laser ophthalmoscopy. Medical Imaging: Image Processing 2012: 831450 - 2011
- [c16]Troy J. Winkstern, Nathan D. Cahill:
Rapid DFT-based variational image registration with sliding boundary conditions. ISBI 2011: 429-432 - [c15]Andrew Melbourne, Nathan D. Cahill, Christine Tanner, David J. Hawkes:
Image registration using an extendable quadratic regulariser. ISBI 2011: 557-560 - [c14]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: 79624K - 2010
- [c13]Nathan D. Cahill, J. Alison Noble, David J. Hawkes:
Accounting for changing overlap in variational image registration. ISBI 2010: 384-387 - [c12]Nathan D. Cahill, J. Alison Noble, David J. Hawkes:
Extending the quadratic taxonomy of regularizers for nonparametric registration. Medical Imaging: Image Processing 2010: 76230B - [c11]Nathan D. Cahill:
Normalized Measures of Mutual Information with General Definitions of Entropy for Multimodal Image Registration. WBIR 2010: 258-268
2000 – 2009
- 2009
- [c10]Daewon Lee, Matthias Hofmann, Florian Steinke, Yasemin Altun, Nathan D. Cahill, Bernhard Schölkopf:
Learning similarity measure for multi-modal 3D image registration. CVPR 2009: 186-193 - [c9]Nathan D. Cahill, J. Alison Noble, David J. Hawkes:
Demons Algorithms for Fluid and Curvature Registration. ISBI 2009: 730-733 - [c8]Nathan D. Cahill, J. Alison Noble, David J. Hawkes:
A Demons Algorithm for Image Registration with Locally Adaptive Regularization. MICCAI (1) 2009: 574-581 - [c7]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: 72590I - 2008
- [c6]Nathan D. Cahill, Julia A. Schnabel, J. Alison Noble, David J. Hawkes:
Revisiting overlap invariance in medical image alignment. CVPR Workshops 2008: 1-8 - [c5]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: 776-779 - 2007
- [c4]Nathan D. Cahill, J. Alison Noble, David J. Hawkes:
Fourier Methods for Nonparametric Image Registration. CVPR 2007 - [c3]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: 712-715 - 2006
- [c2]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: 832-835 - 2003
- [j2]Shoupu Chen, Nathan D. Cahill, Lawrence A. Ray:
Toward effectively generating environment maps. J. Electronic Imaging 12(2): 342-354 (2003) - [j1]Andor Lukács, Szilárd András, Nathan D. Cahill:
Convex n-Gons: 10936. Am. Math. Mon. 110(6): 545-546 (2003) - 2002
- [c1]Shoupu Chen, Nathan D. Cahill, Lawrence A. Ray:
A practical approach to creating environment maps using digital images. ICIP (3) 2002: 869-872
Coauthor Index
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