default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNathan D. Cahill
Person information
- affiliation: Rochester Institute of Technology, Rochester, NY, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-08 21:29 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
