Nathan D. Cahill

College of Art and Design College of Engineering Technology College of Health Sciences and Technology College of Liberal Arts College of Science Golisano College of Computing and Information Sciences International Campuses Kate Gleason College of Engineering National Technical Institute for the Deaf School of Individualized Study

Nathan D. Cahill

Professor
College of Science
Chester F. Carlson Center for Imaging Science
School of Mathematical Sciences

2021 Submissions

Journal Paper

Korley, Frederick, et al. "Progesterone Treatment Does Not Decrease Serum Levels of Biomarkers of Glial and Neuronal Cell Injury in Moderate and Severe Traumatic Brain Injury Subjects..." Journal of Neurotrauma. (2021): online ahead of print. Web. «

2020 Submissions

Journal Paper

Piramanayagam, Sankaranarayanan, Eli Saber, and Nathan D. Cahill. "Gradient-driven Unsupervised Video Segmentation Using Deep Learning Techniques." Journal of Electronic Imaging 29. 1 (2020): 13019. Web. «

Published Conference Proceedings

Moudgalya, Sanketh S., Nathan D. Cahill, and David A. Borkholder. "Deep Volumetric Segmentation of Murine Cochlear Compartments from Micro-Computed Tomography Images." Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Ed. None. None, None: IEEE, 2020. Web. «

Full Patent

Loui, Alexander, et al. "Iterative Method for Salient Foreground Detection and Multi-Object Segmentation." U.S. Patent 10,706,549. 7 Jul. 2020.

2019 Submissions

Journal Paper

Moudgalya, Sanketh S., et al. "Cochlear Pharmacokinetics - Micro-Computed Tomography and Learning-Prediction Modeling for Transport Parameter Determination." Hearing Research 380. (2019): 46-59. Print. «

Published Conference Proceedings

Hayes, Tyler L., Nathan D. Cahill, and Christopher Kanan. "Memory Efficient Experience Replay for Streaming Learning." Proceedings of the International Conference on Robotics and Automation (ICRA). Ed. None. Montreal, Canada: IEEE, 2019. Web. «

Zikri, Yehuda Kfir Ben, et al. "Toward an Affine Feature-Based Registration Method for Ground Glass Lung Nodule Tracking." Proceedings of the ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing. Ed. J. M. R. S. Tavares and R. M. Natal Jorge. Switzerland, Switzerland: Springer Nature, 2019. Web. «

2018 Submissions

Journal Paper

Strang, Alexander, et al. "Generalized Relationships Between Characteristic Path Length, Efficiency, Clustering Coefficients, and Density." Social Network Analysis and Mining 8. 1 (2018): 1-14. Web. *

Published Conference Proceedings

Hayes, Tyler L., et al. "New Metrics and Experimental Paradigms for Continual Learning." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. Ed. -. -, -: IEEE, 2018. Web. «

Cahill, Nathan D., et al. "Compassionately Conservative Balanced Cuts for Image Segmentation." Proceedings of the Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Ed. -. -, -: IEEE, 2018. Web. «

Zhang, Xuewen and Nathan D. Cahill. "Semi-supervised Deep Autoencoder Network for Graph-based Dimensionality Reduction of Hyperspectral Imagery." Proceedings of the Proceedings Volume 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV; SPIE Defense & Security. Ed. -. -, -: International Society for Optics and Photonics, 2018. Web. £

Immel, Poppy G. "Semi-supervised Normalized Embeddings for Land-use Classification from Multiple View Data." Proceedings of the Proceedings Volume 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV; SPIE Defense & Security. International Society for Optics and Photonics, 2018. Web. £

2015 Submissions

Journal Paper

Ek, Bryan, et al. "A Comprehensive Comparison of Graph Theory Metrics for Social Networks." Social Network Analysis and Mining 5. 1 (2015): 1-7. Print. *

Gopal, Shruti, et al. "Spatial Variance in Resting fMRI Networks of Schizophrenia Patients: An Independent Vector Analysis." Schizophrenia Bulletin 42. 1 (2015): 152-160. Print. *

Published Conference Proceedings

Katuwal, Gajendra J., et al. "The Predictive Power of Structural MRI in Autism Diagnosis." Proceedings of the Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, August 2015. Ed. Sergio Cerutti. Milan, Italy: IEEE, Print. *

Cahill, Nathan D., Selene E. Chew, and Paul S. Wenger. "Spatial-Spectral Dimensionality Reduction of Hyperspectral Imagery with Partial Knowledge of Class Labels." Proceedings of the SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, April 2015. Ed. Miguel Velez-Reyes; Fred A. Kruse. Baltimore, MD: SPIE, Print. *

Zhang, Xuewen, et al. "SLIC superpixels for efficient graph-based dimensionality reduction of hyperspectral imagery." Proceedings of the SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, April 2015. Ed. Miguel Velez-Reyes; Fred A. Kruse. Baltimore, MD: SPIE, Print. *

Dangi, Shusil, et al. "Endocardial left ventricle feature tracking and reconstruction from tri-plane trans-esophageal echocardiography data." Proceedings of the SPIE Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, February 2015. Ed. Robert J. Webster; Ziv R. Yaniv. Orlando, FL: SPIE, Print. *

Hu, Yang, et al. "Classification of Hyperspectral Images Based on Conditional Random Fields." Proceedings of the SPIE Image Processing: Machine Vision Applications VIII, February 2015. Ed. Edmund Y. Lam; Kurt S. Niel. San Francisco, CA: SPIE, Print. *

Piramanayagam, Sankaranarayanan, et al. "Shot Boundary Detection and Label Propagation for Spatio-Temporal Video Segmentation." Proceedings of the SPIE Image Processing: Machine Vision Applications VIII, February 2015. Ed. Edmund Y. Lam; Kurt S. Niel. San Francisco, CA: SPIE, Print. *

Cahill, Nathan D. "Comparison of Lesion-centered vs Lung-centered Registration for Nodule Assessment from Lung CT Images." Proceedings of the WNYISPWS. Rochester, New York: IEEE, 2015. Print. *

Cahill, Nathan D. "Schrodinger eigenmaps for semi-supervised manifold alignment of hyperspectral imagery." Proceedings of the SPIE Defense and Security 2016. Baltimore, Maryland: SPIE, 2015. Print. *

Chew, Selene E. and Nathan D. Cahill. "Semi-Supervised Normalized Cuts for Image Segmentation." Proceedings of the International Conference on Computer Vision, December 2015. Ed. Ruzena Bajcsy. Santiago, Chile: IEEE, Print. «

Invited Keynote/Presentation

Cahill, Nathan D. "Semi-Supervised Graph-Based Methods for Image Segmentation and Classification." Norbert Wiener Center Seminar. University of Maryland College Park. College Park, MD. 10 Nov. 2015. Guest Lecture.

Cahill, Nathan D. "Clustering, Segmentation, and Classification of Image Data Using Graph-Based Models." Invited Seminar. Institute for Defense Analyses. Bowie, MD. 18 Nov. 2015. Guest Lecture.

2013 Submissions

Journal Paper

Chen, Bin, Anthony Vodacek, and Nathan D. Cahill. "A Novel Adaptive Scheme for Evaluating Spectral Similarity in High-resolution Urban Scenes." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6. 3 (2013): 1376-1385. Print. *

2012 Submissions

Published Conference Proceedings

Melbourne, Andrew, et al. "Using Fractional Gradient Information in Nonrigid Image Registration: Application to Breast MRI." Proceedings of the SPIE Medical Imaging: Image Processing, February 2012, San Diego. Ed. David R. Haynor and Sebastien Ourselin. San Diego, CA: n.p., 2012. Print. *

Sun, Shaohui, Nzola De Magalhaes, and Nathan D. Cahill. "Nearly Rigid Descriptor-Based Matching for Volume Reconstruction from Histological Sections." Proceedings of the SPIE Medical Imaging: Image Processing, February 2012, San Diego. Ed. David R. Haynor and Sebastien Ourselin. San Diego, CA: n.p., 2012. Print. *

Harvey, Zachary G., et al. "Low Bandwidth Eye Tracker for Scanning Laser Opthalmoscopy." Proceedings of the SPIE Medical Imaging: Image Processing, February 2012, San Diego. Ed. David R. Haynor and Sebastien Ourselin. San Diego, CA: n.p., 2012. Print. *

Cahill, Nathan D. "Motion Coherent Image Registration and Demons: Practical Handling of Deformation Boundaries." Proceedings of the SPIE Medical Imaging: Image Processing, February 2012, San Diego. Ed. David R. Haynor and Sebastien Ourselin. San Diego, CA: n.p., 2012. Print. *

Phadtare, Lalit K., Raja S. Kushalnagar, and Nathan D. Cahill. "Detecting Hand-Palm Orientation and Hand Shapes for Sign Language Gesture Recognition Using 3D Images." Proceedings of the IEEE Western New York Image Processing Workshop. Rochester, NY: n.p., 2012. Print. *

Karantza, Alex, Sonia Lopez Alarcon, and Nathan D. Cahill. "A Comparison of Sequential and GPU-Accelerated Implementations of B-Spline Signal Processing Operations for 2-D and 3-D Images." Proceedings of the 3rd International Conference on Image Processing Theory, Tools and Applications. Istanbul, Turkey: n.p., 2012. Print. «

Chen, Bin, Anthony Vodacek, and Nathan D. Cahill. "Novel Spectral Similarity Measure for High Resolution Urban Scene." Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Munich, Bavaria: n.p., 2012. Print. *

Keane, Tommy, et al. "Sphere2: Jerry's Rig, an OpenGL Application for Non-linear Panorama Viewing and Interaction." Proceedings of the 2012 Western New York Image Processing Workshop. Rochester, New York: n.p., 2012. Print. *

Invited Keynote/Presentation

Cahill, Nathan D. and Mehran Ebrahimi. "Image Registration in the Presence of Discontinuities." Industrial Problem-Solving Workshop on Medical Imaging. The Fields Institute and Mitacs. Toronto, Ontario. 20 Aug. 2012. Guest Lecture.

Cahill, Nathan D. "Computational Frameworks for Image Registration." Mind Research Network Seminar Series. Mind Research Network. Albuquerque, NM. 30 Aug. 2012. Guest Lecture.

Cahill, Nathan D. "Imaging Analysis and Computer Vision in the Center for Imaging Science at RIT." Computational Engineering and Computational Applied Sciences Seminar Series. Lawrence Livermore National Laboratory. Livermore, CA. 31 Aug. 2012. Guest Lecture.

Cahill, Nathan D. "Industrial Applications of Image Registration." SIAM Student Chapter Distinguished Speaker Series / Applied Math Colloquium Series. University of Maryland Baltimore County (UMBC) Department of Mathematics and Statistics. Baltimore, MD. 24 Feb. 2012. Guest Lecture.

2010 Submissions

Published Article

Cahill, Nathan D., J.A. Noble, and D.J. Hawkes. “Extending the Quadratic Taxonomy of Regularizers for Nonparametric Registration.” Proc. SPIE Medical Imaging: Image Processing, 7623 (February 2010): 0B-1- 0B-12. Print. *

Cahill, Nathan D., J.A. Noble, and D.J. Hawkes. “Accounting for Changing Overlap in Variational Image Registration.” Proceedings International Symposium on Biomedical Imaging, April 2010: 384-387. Print. *

Cahill, Nathan D. “Normalized Measures of Mutual Information with General De nitions of Entropy for Multimodal Image Registration.” Proceedings International Workshop on Biomedical Image Registration, LNCS 6204 (July 2010): 258 - 268. Print. «

May, Brandon B., N.D. Cahill, and M.R. Rosen. “Calibration of a Multi-Projector System for Display on a Cylindrical Surface.” Proceedings IEEE Western NY Image Processing Workshop, November 2010. 6-9. Print. " É *