Kitware Staff Publications

The experts here at Kitware are very passionate about their research and sharing their findings with the world when they can. That’s why we support and encourage them to publish their novel work, whether through participating in national and international conferences, academic journals, and more.

The following publications list is a compilation of all of the papers and articles published by Kitware employees.

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Publications

B. Hu, B. RichardWebster, P. Tunison, E. Veenhuis, B. Ravichandran, A. Lynch, S. Crowell, A. Genova, V. Bolea, S. Jourdain, and A. Whitesell, "NRTK: an open source natural robustness toolkit for the evaluation of computer vision models," in Assurance and Security for AI-enabled Systems, 2024. [URL]
C. Cinel, "Linearly Sofic Lie Algebras: Extensions and Embeddings," Journal of Algebra and Its Applications, pp. S0219498825503566, Jul. 2024. [URL]
A. Schmidt, P. Morales-Álvarez, L. Cooper, L. Newberg, A. Enquobahrie, R. Molina, and A. Katsaggelos, "Focused active learning for histopathological image classification," Medical Image Analysis, vol. 95, pp. 103162, Jul. 2024. [URL]
W. Schroeder, S. Tsalikis, M. Halle, and S. Frisken, "A High-Performance SurfaceNets Discrete Isocontouring Algorithm," arXiv, Jan. 2024. [URL]
F. Yellin, S. McCloskey, C. Hill, E. Smith, and B. Clipp, "Concurrent Band Selection and Traversability Estimation from Long-Wave Hyperspectral Imagery in Off-Road Settings," in 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024. [URL]
C. Greenwell, J. Crall, M. Purri, N. Jacobs, A. Hadzic, S. Workman, and M. Leotta, "WATCH: Wide-Area Terrestrial Change Hypercube," in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024. [URL]
S. Amin, H. Dewey, A. Lasso, P. Sabin, Y. Han, J. Vicory, B. Paniagua, C. Herz, H. Nam, A. Cianciulli, M. Flynn, D. Laurence, D. Harrild, G. Fichtinger, M. Cohen, and M. Jolley, "Euclidean and Shape-Based Analysis of the Dynamic Mitral Annulus in Children using a Novel Open-Source Framework," Journal of the American Society of Echocardiography, vol. 37, no. 2, pp. 259-267, Feb. 2024. [URL]
A. Bray, E. Veenhuis, B. Hu, D. Joy, B. Ray, J. B. Webb, A. Basharat, and R. B. Clipp, "Towards a Human Physiologic Digital Twin for Medical Triage Using the Pulse Physiology Engine," in MDIC Symposium on Computational Modeling and Simulation, 2024.
A. Bray, E. Veenhuis, B. Hu, D. Joy, B. Ray, J. B. Webb, A. Basharat, and R. B. Clipp, "An Artificial Intelligence Solution to Human-Trusted Medical Decision Making," in MHSRS, 2024. [URL]
A. Bray, J. Vicory, M. Bernstein, E. Veenhuis, B. Ravichandran, B. Marinier, A. Tanaka, and R. B. Clipp, "Predicting the need for life-saving interventions during triage using a deep time-series predictor pipeline," in MHSRS, 2024. [URL]
I. Gerg, D. Cook, and V. Monga, "Deep Adaptive Phase Learning: Enhancing Synthetic Aperture Sonar Imagery Through Learned Coherent Autofocus," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 9517-9532, 2024. [URL]
B. Bingol, I. Gerg, and V. Monga, "Progressive Diffusion Autofocus for Synthetic Aperture Sonar Imagery," in IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024.
D. Melamed, C. Johnson, I. Gerg, Chen Zhao, R. Blue, A. Hoogs, Brian Clipp, and P. Morrone, "UNCOVERING BIAS IN BUILDING DAMAGE ASSESSMENT FROM SATELLITE IMAGERY," in IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024.
B. Hu, B. Ray, A. Leung, A. Summerville, D. Joy, C. Funk, and A. Basharat, "Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain," in Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track), 2024. [URL]
M. Gillot, F. Miranda, B. Baquero, A. Ruellas, M. Gurgel, N. Al Turkestani, L. Anchling, N. Hutin, E. Biggs, M. Yatabe, B. Paniagua, J. Fillion‐Robin, D. Allemang, J. Bianchi, L. Cevidanes, and J. Prieto, "Automatic landmark identification in cone‐beam computed tomography," Orthodontics & Craniofacial Research, vol. 26, no. 4, pp. 560-567, Nov. 2023. [URL]
A. Mankowski, P. Gurram, J. Crall, S. McCloskey, and A. Hoogs, "Transformers for Small Object Detection and Tracking in OPIR Imagery," in Proceedings of the National Security Sensor and Data Fusion Committee, 2023.
C. Funk, D. Depauw, K. Fieldhouse, and E. Blasch, "Fog-Assisted Autoencoder for Enhanced Multi-INT Targeting," in Proceedings of the National Security Sensor and Data Fusion Committee (NSSDF), 2023.
J. Parham, D. Joy, P. Gurram, S. Brockman, R. Blue, A. Hoogs, B. Minnehan, S. Thomas, C. Liberatore, R. Profeta, and T. Rovito, "From Commercial Satellites to National Defense: A Review of VIGILANT for Object Detection, Classification, Mensuration, and Patch-based Search in Satellite Imagery," in Proceedings of the National Security Sensor and Data Fusion Committee (NSSDF), 2023.
K. Regmi, M. Kirchner, and A. Basharat, "Generalizable synthetic image detection," in Proceedings of the National Security Sensor and Data Fusion Committee (NSSDF), 2023.
D. Davila, D. Melamed, D. Depauw, and J. Anderson, "Multi-ATR Fusion and Ontological Deconfliction for Geospatial Imagery," in Proceedings of the National Security Sensor and Data Fusion Committee (NSSDF), 2023.
D. Melamed, C. Johnson, S. Brockman, R. Blue, A. Hoogs, P. Morrone, and B. Clipp, "Rapid Training of Artificial Intelligence Battle Damage Assessment Tools to New Conflicts," in Proceedings of the National Security Sensor and Data Fusion Committee (NSSDF), 2023.
C. Funk, B. Clipp, and A. Hoogs, "Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning.," in Proceedings of the National Security Sensor and Data Fusion Committee (NSSDF), 2023.
S. McCloskey, B. RichardWebster, R. Collins, and A. Hoogs, "Subject Identification up to 1km: Performer Perspective on the IARPA BRIAR Program," in Proceedings of the National Security Sensor and Data Fusion Committee (NSSDF), 2023.
J. Webb, A. Bray, and R. Clipp, "Design and Implementation of a Generic Circuit Solver for Physiological Lumped-Parameter Modeling," in 2023 Annual Modeling and Simulation Conference (ANNSIM), 2023. [URL]
H. Nam, M. Flynn, A. Lasso, C. Herz, P. Sabin, Y. Wang, A. Cianciulli, C. Vigil, J. Huang, J. Vicory, B. Paniagua, D. Allemang, D. Goldberg, M. Nuri, M. Cohen, G. Fichtinger, and M. Jolley, "Modeling of the Tricuspid Valve and Right Ventricle in Hypoplastic Left Heart Syndrome With a Fontan Circulation," Circulation: Cardiovascular Imaging, vol. 16, no. 3, Mar. 2023. [URL]
L. Condon, A. Farley, S. Jourdain, P. O’leary, P. Avery, L. Gallagher, C. Chennault, and R. Maxwell, "ParFlow Sand Tank: A tool for groundwater exploration," Journal of Open Source Education, vol. 6, no. 61, pp. 179, Mar. 2023. [URL]
S. Montgomery, F. Li, C. Funk, E. Peethumangsin, M. Morris, J. Anderson, A. Hersh, and S. Aylward, "Detection of pneumothorax on ultrasound using artificial intelligence," Journal of Trauma and Acute Care Surgery, vol. 94, no. 3, pp. 379-384, Mar. 2023. [URL]
C. Funk and Y. Liu, "EscherNet 101," arXiv:2303.04208, Mar. 2023. [URL]
M. Hawrylycz et al., "A guide to the BRAIN Initiative Cell Census Network data ecosystem," PLOS Biology, vol. 21, no. 6, pp. e3002133, Jun. 2023. [URL]
B. Hu, P. Tunison, B. RichardWebster, and A. Hoogs, "Xaitk-Saliency: An Open Source Explainable AI Toolkit for Saliency," Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, no. 13, pp. 15760-15766, Jun. 2023. [URL]
C. Zhao, D. Du, A. Hoogs, and C. Funk, "Open Set Action Recognition via Multi-Label Evidential Learning," in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [URL]
J. Xu, G. Thevenon, T. Chabat, M. McCormick, F. Li, T. Birdsong, K. Martin, Y. Lee, and S. Aylward, "Interactive, in-browser cinematic volume rendering of medical images," Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol. 11, no. 4, pp. 1019-1026, Jul. 2023. [URL]
C. Cinel, "Linearly sofic Lie algebras," Journal of Algebra and Its Applications, pp. 2450240, Jul. 2023. [URL]
I. Gerg and C. Cotner, "A Perceptual Metric Prior on Deep Latent Space Improves Out-Of-Distribution Synthetic Aperture Sonar Image Classification," in IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023. [URL]
D. Du, C. Funk, K. Doctor, and A. Hoogs, "Novel Object Detection in Remote Sensing Imagery," in IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023. [URL]
J. Lee, Y. Choe, S. Ardid, R. Abbasi-Asl, M. McCarthy, and B. Hu, "Editorial: Functional microcircuits in the brain and in artificial intelligent systems," Frontiers in Computational Neuroscience, vol. 17, pp. 1135507, Jan. 2023. [URL]
D. Du, A. Shringi, A. Hoogs, and C. Funk, "Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition," in 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. [URL]
S. Gerber, M. Niethammer, E. Ebrahim, J. Piven, S. Dager, M. Styner, S. Aylward, and A. Enquobahrie, "Optimal transport features for morphometric population analysis," Medical Image Analysis, vol. 84, pp. 102696, Feb. 2023. [URL]
S. Snarski and J. Webb, "Design Considerations for Staring Infrared Search and Track Projectile Tracking Systems," in SENSOR SYSTEM DESIGN & DEVELOPMENT, 2023. [URL]
J. Webb, J. VanPelt, E. Veenhuis, and S. Snarski, "Development and Analysis of the PitViper Infrared Projectile Tracking System for Direct and Indirect Fire Applications," in TARGETS, BACKGROUNDS, AND DISCRIMINATION, 2023. [URL]
J. Prior, M. Campbell, M. Dawkins, P. Mickle, R. Moorhead, S. Alaba, C. Shah, J. Salisbury, K. Rademacher, A. Felts, and F. Wallace, "Estimating precision and accuracy of automated video post-processing: A step towards implementation of AI/ML for optics-based fish sampling," Frontiers in Marine Science, no. 10, pp. p.1150651, Apr. 2023.
P. Sahu, J. Fishbaugh, J. Vicory, A. Khan, and B. Paniagua, "3D Fourier Domain Adaptation for Improving CBCT Tooth Segmentation Under Scanner Parameter Shift," in 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023. [URL]
M. Leclercq, A. Ruellas, M. Gurgel, M. Yatabe, J. Bianchi, L. Cevidanes, M. Styner, B. Paniagua, and J. Prieto, "Dentalmodelseg: Fully Automated Segmentation of Upper and Lower 3D Intra-Oral Surfaces," in 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023. [URL]
T. Osika, E. Ebrahim, M. Styner, M. Niethammer, T. Sawyer, and A. Enquobahrie, "Harmonization Benchmarking Tool for Neuroimaging Datasets," in 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023. [URL]
N. Khargonkar, B. Paniagua, and J. Vicory, "Skeletal Point Representations with Geometric Deep Learning," in 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023. [URL]
J. Vicory, C. Herz, M. Flynn, A. Cianciulli, P. Sabin, A. Lasso, M. Jolley, and B. Paniagua, "Skeletal modeling of the tricuspid valve via cylindrical parameterization," in Medical Imaging 2023: Image Processing, 2023. [URL]
J. Li et al., "MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision," Computer Vision and Pattern Recognition, 2023. [URL]
Y. Han, J. Vicory, G. Gerig, P. Sabin, H. Dewey, S. Amin, A. Sulentic, C. Hertz, M. Jolley, B. Paniagua, and J. Fishbaugh, "Hierarchical Geodesic Polynomial Model for Multilevel Analysis of Longitudinal Shape," in Information Processing in Medical Imaging. Springer Nature Switzerland, 2023, pp. 810-821. [URL]
Y. Han, J. Fishbaugh, C. Gonzalez, D. Aboyotes, J. Vicory, S. Tang, and B. Paniagua, "Geodesic Logistic Analysis of Lumbar Spine Intervertebral Disc Shapes in Supine and Standing Positions," in Shape in Medical Imaging. Springer Nature Switzerland, 2023, pp. 188-200. [URL]
J. Fishbaugh, R. Zambrano, J. Schuman, G. Wollstein, J. Vicory, and B. Paniagua, "Modeling Longitudinal Optical Coherence Tomography Images for Monitoring and Analysis of Glaucoma Progression," in Shape in Medical Imaging. Springer Nature Switzerland, 2023, pp. 236-247. [URL]
J. Vicory, Y. Han, J. Prieto, D. Allemang, M. Leclercq, C. Bowley, H. Scheirich, J. Fillion-Robin, S. Pizer, J. Fishbaugh, G. Gerig, M. Styner, and B. Paniagua, "SlicerSALT: From Medical Images to Quantitative Insights of Anatomy," in Shape in Medical Imaging. Springer Nature Switzerland, 2023, pp. 201-210. [URL]
X. Liu, J. Li, D. Sun, R. Wang, T. Abdelzaher, M. Brown, A. Barricelli, M. Kirchner, and A. Basharat, "Unsupervised Image Classification by Ideological Affiliation from User-Content Interaction Patterns," arXiv, 2023. [URL]
D. Allemang, "Common 3D Slicer Infrastructure for Interactive Landmark Placement," in American Association for Dental, Oral, and Craniofacial Research, 2023.
D. Davila, D. Du, B. Lewis, C. Funk, J. Van Pelt, R. Collins, K. Corona, M. Brown, S. McCloskey, A. Hoogs, and B. Clipp, "MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification," in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. [URL]
C. Reed, R. Gupta, S. Li, S. Brockman, C. Funk, B. Clipp, K. Keutzer, S. Candido, M. Uyttendaele, and T. Darrell, "Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning," in International Conference on Computer Vision 2023, 2023. [URL]
K. Ntatsis, N. Dekker, V. Van Der Valk, T. Birdsong, D. Zukić, S. Klein, M. Staring, and M. McCormick, "itk-elastix: Medical image registration in Python," in Python in Science Conference, 2023. [URL]
M. Gillot, B. Baquero, C. Le, R. Deleat-Besson, J. Bianchi, A. Ruellas, M. Gurgel, M. Yatabe, N. Al Turkestani, K. Najarian, R. Soroushmehr, S. Pieper, R. Kikinis, B. Paniagua, J. Gryak, M. Ioshida, C. Massaro, L. Gomes, H. Oh, K. Evangelista, C. Chaves Junior, D. Garib, F. Costa, E. Benavides, F. Soki, J. Fillion-Robin, H. Joshi, L. Cevidanes, and J. Prieto, "Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3D UNETR," PLOS ONE, vol. 17, no. 10, pp. e0275033, Oct. 2022. [URL]
É. Léger, S. Horvath, J. Fillion-Robin, D. Allemang, S. Gerber, P. Juvekar, E. Torio, T. Kapur, S. Pieper, S. Pujol, R. Bardsley, S. Frisken, and A. Golby, "NousNav: A low-cost neuronavigation system for deployment in lower-resource settings," International Journal of Computer Assisted Radiology and Surgery, vol. 17, no. 9, pp. 1745-1750, May 2022. [URL]
E. McCoy, S. Park, R. Patel, D. Ryan, Z. Mullen, J. Nesbitt, J. Lopez, B. Taylor-Blake, K. Vanden, J. Krantz, W. Hu, R. Garris, M. Snyder, L. Lima, S. Sotocinal, J. Austin, A. Kashlan, S. Shah, A. Trocinski, S. Pudipeddi, R. Major, H. Bazick, M. Klein, J. Mogil, G. Wu, and M. Zylka, "Development of PainFace software to simplify, standardize, and scale up mouse grimace analyses," PAIN, pp. 10.1097/j.pain.0000000000003187, May 2022. [URL]
D. Zukić, J. Cox, L. Kovach, J. Cole, J. Marron, T. Birdsong, and M. McCormick, "Bone Morphometry of Atlas-Segmented Mouse Femurs and Tibias," in 23rd International Workshop on Quantitative Musculoskeletal Imaging, 2022.
T. Birdsong, B. Paniagua, J. Cole, J. Cox, S. Marron, D. Zukić, J. Vicory, and M. McCormick, "Femur Atlas Generation and Shape Analysis with Deformable Surface Registration," in 23rd International Workshop on Quantitative Musculoskeletal Imaging, 2022.
S. Snarski, R. Barnes, N. Khan, J. Baker, and J. Webb, "Infrared search and track (IRST) for long-range, wide-area detect and avoid (DAA) on small unmanned aircraft systems (sUAS)," in Autonomous Systems: Sensors, Processing and Security for Ground, Air, Sea and Space Vehicles and Infrastructure 2022, 2022. [URL]
W. Schroeder, J. Waters, E. Bresciani, and R. Bujack, "Topological Segmentation of 2D Vector Fields," LEVIA'22, Jul. 2022.
D. Du, C. Funk, and A. Hoogs, "Novelty Detection in Remote Sensing Imagery," in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022. [URL]
D. Zukić, A. Haley, C. Lisle, J. Klo, K. Pohl, H. Johnson, and A. Chaudhary, "Medical Image Quality Assurance using Deep Learning," in Medical Imaging with Deep Learning, 2022. [URL]
D. Blount, E. Bohnett, J. Holmberg, J. Parham, S. Faryabi, Ö. Johansson, L. An, B. Ahmad, W. Khan, and S. Ostrowski, "Comparison of Two Individual Identification Algorithms for Snow Leopards after Automated Detection," Bioinformatics, Jan. 2022. [URL]
G. Lewis, H. Wee, J. Vicory, A. Armstrong, and J. Reid, "Virtual Simulation for Interactive Visualization of 3D Fracture Fixation Biomechanics," Journal of the American Academy of Orthopaedic Surgeons, vol. 30, no. 1, pp. e51-e58, Jan. 2022. [URL]
B. Ravichandran, R. Collins, K. Fieldhouse, K. Corona, and A. Hoogs, "From Leaderboard To Operations: DIVA Transition Experiences," in 2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2022. [URL]
M. Leotta, D. Russell, and A. Matrai, "On the Maximum Radius of Polynomial Lens Distortion," in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022. [URL]
T. Czernuszewicz, A. Aji, C. Moore, S. Montgomery, B. Velasco, G. Torres, K. Anand, K. Johnson, A. Deal, D. Zukić, M. McCormick, B. Schnabl, C. Gallippi, P. Dayton, and R. Gessner, "Development of a Robotic Shear Wave Elastography System for Noninvasive Staging of Liver Disease in Murine Models," Hepatology Communications, pp. hep4.1912, Feb. 2022. [URL]
J. Vicory, G. Garcia, J. Rhee, and A. Enquobahrie, "Toward automatic atlas-based surgical planning for septoplasty," International Journal of Computer Assisted Radiology and Surgery, vol. 17, no. 2, pp. 403-411, Feb. 2022. [URL]
A. Bray, R. Clipp, M. Qureshi, S. Mitran, and A. Enquobahrie, "gLBM: A GPU enabled Lattice Boltzmann Method Library," Journal of Open Source Software, vol. 7, no. 70, pp. 2555, Feb. 2022. [URL]
D. Prijatelj, S. Grieggs, J. Huang, D. Du, A. Shringi, C. Funk, A. Kaufman, E. Robertson, and W. Scheirer, "Human Activity Recognition in an Open World," arXiv:2212.12141, Dec. 2022. [URL]
J. Schwartz, C. Harris, J. Pietryga, H. Zheng, P. Kumar, A. Visheratina, N. Kotov, B. Major, P. Avery, P. Ercius, U. Ayachit, B. Geveci, D. Muller, A. Genova, Y. Jiang, M. Hanwell, and R. Hovden, "Real-time 3D analysis during electron tomography using tomviz," Nature Communications, vol. 13, no. 1, pp. 4458, Aug. 2022. [URL]
F. Yellin, E. Smith, M. Albright, and S. McCloskey, "Resolution Transfer for Object Detection from Satellite Imagery," in 2022 26th International Conference on Pattern Recognition (ICPR), 2022. [URL]
C. Zhao, F. Chen, X. Wu, C. Funk, and A. Hoogs, "1st ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI-KDD22)," in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022. [URL]
B. Adhikari, Y. Scindia, L. Sordo Vieira, H. De Assis Lopes Ribeiro, J. Masison, N. Yang, L. Fonseca, M. Wheeler, A. Knapp, Y. Mei, B. Helba, C. Atkinson, W. Schroeder, B. Mehrad, and R. Laubenbacher, "Computational Modeling of Macrophage Iron Sequestration during Host Defense against Aspergillus," mSphere, vol. 7, no. 4, pp. e00074-22, Aug. 2022. [URL]
H. Ribeiro, L. Vieira, Y. Scindia, B. Adhikari, M. Wheeler, A. Knapp, W. Schroeder, B. Mehrad, and R. Laubenbacher, "Multi-scale mechanistic modelling of the host defence in invasive aspergillosis reveals leucocyte activation and iron acquisition as drivers of infection outcome," Journal of The Royal Society Interface, vol. 19, no. 189, pp. 20210806, Apr. 2022. [URL]
J. Vicory, P. Sahu, H. Wee, H. Nam, A. Chopra, S. Reid, G. Lewis, and S. Arikatla, "Automated fractured femur segmentation using CNN," in Medical Imaging 2022: Image Processing, 2022. [URL]
P. Sahu, S. Gerber, Q. Zhao, T. Nguyen, M. McCormick, B. Paniagua, and J. Vicory, "Thin shell demons for dental scan registration," in Medical Imaging 2022: Image Processing, 2022. [URL]
A. Wilson, H. Scheirich, B. Paniagua, R. White, T. Nyugen, and V. Arikatla, "A level set approach to high fidelity interactive bone shaving for virtual training of surgical osteotomies," in Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling, 2022. [URL]
S. McCloskey, "Computational Imaging," in Multimedia Forensics. Springer Singapore, 2022, pp. 41-62. [URL]
M. Kirchner, "Sensor Fingerprints: Camera Identification and Beyond," in Multimedia Forensics. Springer Singapore, 2022, pp. 65-88. [URL]
C. Long, A. Basharat, and A. Hoogs, "Video Frame Deletion and Duplication," in Multimedia Forensics. Springer Singapore, 2022, pp. 333-362. [URL]
J. Vicory, C. Herz, D. Allemang, H. Nam, A. Cianciulli, C. Vigil, Y. Han, A. Lasso, M. Jolley, and B. Paniagua, "Statistical Shape Analysis of the Tricuspid Valve in Hypoplastic Left Heart Syndrome," in Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge. Springer International Publishing, 2022, pp. 132-140. [URL]
J. Vicory, C. Herz, Y. Han, D. Allemang, M. Flynn, A. Cianciulli, H. Nam, P. Sabin, A. Lasso, M. Jolley, and B. Paniagua, "Skeletal Model-Based Analysis of the Tricuspid Valve in Hypoplastic Left Heart Syndrome," in Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers. Springer Nature Switzerland, 2022, pp. 258-268. [URL]
S. Harrison, A. Bulysheva, B. Newman, M. Audette, R. Clipp, J. Webb, and M. Mitchum, "INTEGRATIVE PHYSIOLOGY-COUPLED PILOT-CENTERED FLIGHT SIMULATION," in ANNSIM ‘22, 2022. [URL]
J. Webb, A. Bray, H. Scheirich, J. VanPelt, R. Clipp, J. Gerard, and S. Frembgen, "IMPLEMENTATION OF A DYNAMIC AND EXTENSIBLE MECHANICAL VENTILATOR MODEL FOR REAL-TIME PHYSIOLOGICAL SIMULATION," in ANNSIM’22, 2022. [URL]
P. Sahu, J. Vicory, M. McCormick, A. Khan, H. Geha, and B. Paniagua, "Wavelet Guided 3D Deep Model to Improve Dental Microfracture Detection," in Applications of Medical Artificial Intelligence, 2022. [URL]
M. Dawkins, J. Crall, M. Leotta, T. O’Hara, and L. Siemann, "Towards Depth Fusion into Object Detectors for Improved Benthic Species Classification," in ICPR CVAUI 2022, 2022.
B. RichardWebster, B. Hu, K. Fieldhouse, and A. Hoogs, "Doppelganger Saliency: Towards More Ethical Person Re-Identification," in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022. [URL]
S. Workman, M. Rafique, H. Blanton, and N. Jacobs, "Revisiting Near/Remote Sensing with Geospatial Attention," in In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022. [URL]
R. Yu, D. Du, R. LaLonde, D. Davila, C. Funk, A. Hoogs, and B. Clipp, "Cascade Transformers for End-to-End Person Search," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022. [URL]
P. Akiva, M. Purri, and M. Leotta, "Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022. [URL]
B. Hu, B. Vasu, and A. Hoogs, "X-MIR: EXplainable Medical Image Retrieval," in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022. [URL]
D. Davila, J. VanPelt, A. Lynch, A. Romlein, P. Webley, and M. Brown, "ADAPT: An Open-Source sUAS Payload for Real-Time Disaster Prediction and Response with AI," in Workshop on Practical Deep Learning in the Wild, 2022. [URL]
S. Shiraz, K. Regmi, S. Vyas, Y. Rawat, and M. Shah, "Novel View Video Prediction using a Dual Representation," in 2021 IEEE International Conference on Image Processing (ICIP), 2021. [URL]
B. Hu, P. Tunison, B. Vasu, N. Menon, R. Collins, and A. Hoogs, "XAITK: The explainable AI toolkit," Applied AI Letters, Oct. 2021. [URL]
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B. Richards, O. Beijbom, M. Campbell, M. Clarke, G. Cutter, M. Dawkins, D. Edington, D. Hart, M. Hill, A. Hoogs, D. Kriegman, E. Moreland, T. Oliver, W. Michaels, M. Placentino, A. Rollo, C. Thompson, F. Wallace, I. Williams, and K. Williams, "Automated Analysis of Underwater Imagery: Accomplishments, Products, and Vision," NOAA technical memorandum NMFS PIFSC, 2019. [URL]
J. Moore, N. Morgan, M. Rodgers, R. Lebensohn, M. Zecevic, and V. Chiravalle, "Elements: High Order Serendipity Space Finite Element Library," Poster presented at MultiMat 2019, Trento, Italy, 2019.
J. Moore, N. Morgan, and M. Horstemeyer, "ELEMENTS: A high-order finite element library in C++," SoftwareX, vol. 10, pp. 100257, 2019.
C. Liu and M. Kirchner, "CNN-based Rescaling Factor Estimation," in ACM Workshop on Information Hiding and Multimedia Security, 2019. [URL]
E. Quiring, M. Kirchner, and K. Rieck, "On the Security and Applicability of Fragile Camera Fingerprints," in European Symposium on Research in Computer Security, 2019. [URL]
M. Kirchner, C. Pasquini, and I. Shumailov, "Information Security Meets Adversarial Examples," in IEEE International Workshop on Information Forensics and Security (WIFS), 2019. [URL]
M. Kirchner and C. Johnson, "SPN-CNN: Boosting Sensor-Based Source Camera Attribution With Deep Learning," in IEEE International Workshop on Information Forensics and Security (WIFS), 2019. Winner, Best Paper Award. [URL]
C. Funk, J. Crall, W. Hicks, C. Law, P. Tunison, R. Blue, A. Hoogs, T. Rovito, and A. Maltenfort, "WEFT Feature Detection and Mensuration for Airplane Classification in Satellite Imagery," in MSS National Symposium on Sensor and Data Fusion, 2019.
D. Chittajallu, A. Basharat, P. Tunison, S. Horvath, K. Wells, S. Leeds, J. Fleshman, G. Sankaranarayanan, and A. Enquobahrie, "Content-based retrieval of video segments from minimally invasive surgery videos using deep convolutional video descriptors and iterative query refinement," in Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, 2019.
C. Long, A. Basharat, and A. and Hoogs, "A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Forged Videos," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019.
B. Ding, C. Long, L. Zhang, and C. Xiao, "ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal," in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2019.
C. Long, R. Collins, E. Swears, and A. Hoogs, "Deep Neural Networks In Fully Connected CRF For Image Labeling With Social Network Metadata," in Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.
M. Leotta, J. Shan, X. Zhang, C. Long, B. Xu, M. Purri, M. Zins, B. Jacquet, K. Dana, S. Seida, M. Berlin, Z. Li, J. Xue, and D. Lipsa, "Danesfield: Integrating Deep Learning and Classical Methods for Multiview Semantic 3D Modeling," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2019.
M. Leotta, C. Long, B. Jacquet, M. Zins, D. Lipsa, J. Shan, B. Xu, Z. Li, X. Zhang, S. Chang, M. Purri, J. Xue, and K. Dana, "Urban Semantic 3D Reconstruction From Multiview Satellite Imagery," in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops: EarthVision, 2019. Winner, Best Paper Award. [URL]
T. Hu, C. Long, L. Zhang, and C. Xiao, "VITAL: A Visual Interpretation on Text with Adversarial Learning for Image Labeling," in arXiv preprint arXiv:1907.11811, 2019.
J. Prothero, J. Vimort, A. Ruellas, J. Marron, H. Shah, L. Cevidanes, E. Benavides, and B. Paniagua, "Advanced statistical analysis to classify high dimensionality textural probability-distribution matrices," in submitted to Society of Photographic Instrumentation Engineers (SPIE) in Medical Imaging Conference 2019, 2019.
P. Hernandez-Cerdan, B. Paniagua, J. Prothero, J. Marron, E. Livingston, T. Bateman, and M. McCormick, "Methods for quantitative characterization of bone injury from computed-tomography images," in submitted to Society of Photographic Instrumentation Engineers (SPIE) in Medical Imaging Conference 2019, 2019.
A. AlHadidi, B. Paniagua, R. Cook, D. Tyndall, Z. Baqain, and L. Cevidanes, "The use of a custom-made virtual template for corrective surgeries of asymmetric patients: proof of principle and a multi-center end-user survey," International Journal of Computer Assisted Radiology and Surgery, Sep. 2018. [URL]
D. Zukić, D. Byrd, P. Kinahan, and A. Enquobahrie, "Calibration Software for Quantitative PET/CT Imaging Using Pocket Phantoms," Tomography: A Journal for Imaging Research, vol. 4, no. 3, pp. 148-158, Sep. 2018. [URL]
V. Arikatla, S. Horvath, Y. Fu, L. Cavuoto, S. De, S. Schwaitzberg, and A. Enquobahrie, "Development and face validation of a virtual camera navigation task trainer," Surgical Endoscopy, Oct. 2018. [URL]
Y. Fu, L. Cavuoto, D. Qi, K. Panneerselvam, G. Yang, V. Artikala, A. Enquobahrie, S. De, and S. Schwaitzberg, "Validation of a virtual intracorporeal suturing simulator," Surgical Endoscopy, Oct. 2018. [URL]
F. Rahman, B. Vasu, and A. Savakis, "Resilience and Self-Healing of Deep Convolutional Object Detectors," in 2018 25th IEEE International Conference on Image Processing (ICIP), 2018. [URL]
D. CodyMorris, D. Chan, M. Palmeri, T. Glass, M. McCormick, K. JackTay, T. Polascik, R. Gupta, and K. Nightingale, "Correlation Between 3D ARFI and Quantitative Imaging Metrics from SWEI and Multi-Parametric MRI in Vivo in Normal and Cancerous Prostate Tissue," in 2018 IEEE International Ultrasonics Symposium (IUS), 2018. [URL]
R. Collins, K. Osterdahl, A. Shringi, K. Corona, R. Meth, and A. Hoogs, "Data, Algorithms, and Framework for Automated Analytics of Surveillance Camera Networks," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018. [URL]
C. Law, R. Blue, D. Stoup, P. Tunison, A. Hoogs, B. Vasu, J. Van Cor, J. Kerekes, A. Savakis, T. Rovito, C. Stansifer, and S. Thomas, "Deep Learning for Object Detection and Classification in Satellite Imagery," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
J. Crall, J. Becker, P. Tunison, M. Dawkins, A. Basharat, R. Blue, M. Turek, and A. Hoogs, "Deep Learning for Small Object Detection in Satellite Infrared Imagery," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
M. Brown, K. Fieldhouse, E. Swears, P. Tunison, A. Romlein, and A. Hoogs, "Multi-Modal Detection Fusion on Mobile UGV for Squad-Level Threat Alerting," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
A. Basharat, P. Tunison, and A. Hoogs, "Rapid Learning of Maritime Scenes Through Query Refinement," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
M. Phillips, R. Blue, M. Turek, A. Hoogs, and T. Rovito, "Satellite Image Patch Classification Using Deep Neural Networks," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
C. Funk, S. Nagendra, J. Scott, B. Ravichandran, J. Challis, R. Collins, and Y. Liu, "Learning Dynamics from Kinematics: Estimating 2D Foot Pressure Maps from Video Frames," arXiv preprint arXiv:1811.12607, Nov. 2018. [URL]
F. Rahman, B. Vasu, J. Cor, J. Kerekes, and A. Savakis, "Siamese Network with Multi-Level Features for Patch-Based Change Detection in Satellite Imagery," in 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018. [URL]
G. Hua, C. Long, M. Yang, and Y. Gao, "Collaborative Active Visual Recognition from Crowds: A Distributed Ensemble Approach," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 3, pp. 582-594, Mar. 2018. [URL]
B. Paniagua, H. Shah, P. Hernandez-Cerdan, F. Budin, D. Chittajallu, R. Walter, A. Mol, A. Khan, and J. Vimort, "Automatic quantification framework to detect cracks in teeth," in Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018. [URL]
J. Prothero, M. McCormick, B. Paniagua, J. Vimort, A. Ruellas, J. Marron, L. Cevidanes, and E. Benavides, "Detection of bone loss via subchondral bone analysis," in Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018. [URL]
J. Prieto, P. de Dumast, C. Mirabel, B. Paniagua, L. Cevidanes, N. Tubau, M. Styner, A. Ruellas, and M. Yatabe, "SVA: shape variation analyzer," in Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018. [URL]
I. Lyu, J. Perdomo, G. Yapuncich, B. Paniagua, D. Boyer, and M. Styner, "Group-wise shape correspondence of variable and complex objects," in Medical Imaging 2018: Image Processing, 2018. [URL]
V. Arikatla, M. Tyagi, A. Enquobahrie, T. Nguyen, G. Blakey, R. White, and B. Paniagua, "High fidelity virtual reality orthognathic surgery simulator," in SPIE Medical Imaging, 2018. [URL]
S. Horvath, B. Paniagua, J. Andruejol, A. Porras, M. Linguraru, and A. Enquobahrie, "Osteotomy planner: an open-source tool for osteotomy simulation," in SPIE Medical Imaging, 2018. [URL]
B. Vasu, F. Rahman, and A. Savakis, "Aerial-CAM: Salient Structures and Textures in Network Class Activation Maps of Aerial Imagery," in 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2018. [URL]
P. de Dumast, C. Mirabel, L. Cevidanes, A. Ruellas, M. Yatabe, M. Ioshida, N. Ribera, L. Michoud, L. Gomes, C. Huang, H. Zhu, L. Muniz, B. Shoukri, B. Paniagua, M. Styner, S. Pieper, F. Budin, J. Vimort, L. Pascal, and J. Prieto, "A web-based system for neural network based classification in temporomandibular joint osteoarthritis," Computerized Medical Imaging and Graphics, vol. 67, pp. 45-54, Jul. 2018. [URL]
A. Porras, B. Paniagua, S. Ensel, R. Keating, G. Rogers, A. Enquobahrie, and M. Linguraru, "Locally Affine Diffeomorphic Surface Registration and Its Application to Surgical Planning of Fronto-Orbital Advancement," IEEE Transactions on Medical Imaging, vol. 37, no. 7, pp. 1690-1700, Jul. 2018. [URL]
S. Sorokan, A. Jefferies, and S. Miller, "L’imagerie du cerveau du nouveau-né à terme," Paediatrics & Child Health, vol. 23, no. 5, pp. 329-335, Jul. 2018. [URL]
J. Fillion-Robin, M. McCormick, O. Padron, M. Smolens, M. Grauer, and M. Sarahan, "jcfr/scipy_2018_scikit-build_talk: SciPy 2018 Talk | scikit-build: A Build System Generator for CPython C/C++/Fortran/Cython Extensions," presented at SciPy 2018, 2018. [URL]
R. Clipp, J. Vicory, S. Horvath, S. Mitran, J. Kimbell, J. Rhee, and A. Enquobahrie, "An Interactive, Patient-Specific Virtual Surgical Planning System for Upper Airway Obstruction Treatments," in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018. [URL]
B. Levin, Y. Jiang, E. Padgett, S. Waldon, C. Quammen, C. Harris, U. Ayachit, M. Hanwell, P. Ercius, D. Muller, and R. Hovden, "Tutorial on the Visualization of Volumetric Data Using tomviz," Microscopy Today, vol. 26, no. 1, pp. 12-17, Jan. 2018. [URL]
Y. Han, E. Oakley, G. Shafirstein, Y. Rabin, and L. Kara, "Reconstruction of a Deformed Tumor Based on Fiducial Marker Registration: A Computational Feasibility Study," Technology in Cancer Research & Treatment, vol. 17, pp. 153303461876679, Jan. 2018. [URL]
A. Oh, M. Mastromanolis, B. Paniagua, A. Enquobahrie, M. Linguraru, L. Tu, A. Porras, N. Lepore, D. Tsering, R. Keating, and G. Rogers, "Radiation-free quantification of head malformations in craniosynostosis patients from 3D photography," in Medical Imaging 2018: Computer-Aided Diagnosis, 2018. [URL]
L. Gomes, L. Soares Cevidanes, M. Gomes, A. Carlos de Oliveira Ruellas, D. Obelenis Ryan, B. Paniagua, L. Wolford, and J. Gonçalves, "Three-dimensional quantitative assessment of surgical stability and condylar displacement changes after counterclockwise maxillomandibular advancement surgery: Effect of simultaneous articular disc repositioning," American Journal of Orthodontics and Dentofacial Orthopedics, vol. 154, no. 2, pp. 221-233, Aug. 2018. [URL]
A. Lasso, H. Nam, P. Dinh, C. Pinter, J. Fillion-Robin, S. Pieper, S. Jhaveri, J. Vimort, K. Martin, M. Asselin, F. McGowan, R. Kikinis, G. Fichtinger, and M. Jolley, "Interaction with Volume-Rendered Three-Dimensional Echocardiographic Images in Virtual Reality," Journal of the American Society of Echocardiography, Aug. 2018. [URL]
J. Fishbaugh, L. Pascal, L. Fischer, T. Nguyen, C. Boen, J. Goncalves, G. Gerig, and B. Paniagua, "Estimating shape correspondence for populations of objects with complex topology," in 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018. [URL]
H. Greer, S. Gerber, M. Niethammer, R. Kwitt, M. McCormick, D. Chittajallu, N. Siekierski, M. Oetgen, K. Cleary, and S. Aylward, "Scoliosis screening and monitoring using self contained ultrasound and neural networks," in Proceedings of the IEEE International Symposium on Biomedical Imaging, 2018. [URL]
D. Chittajallu, N. Siekierski, S. Lee, S. Gerber, J. Beezley, D. Manthey, D. Gutman, and L. Cooper, "Vectorized persistent homology representations for characterizing glandular architecture in histology images," in Proceedings of the IEEE International Symposium on Biomedical Imaging, 2018. [URL]
M. Kim, J. Kress, J. Choi, N. Podhorszki, S. Klasky, M. Wolf, K. Mehta, K. Huck, B. Geveci, S. Phillip, R. Maynard, H. Guo, T. Peterka, K. Moreland, C. Chang, J. Dominski, M. Churchill, and D. Pugmire, "In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned," in High Performance Computing. Springer International Publishing, 2018, pp. 230-242. [URL]
D. Chittajallu, M. McCormick, S. Gerber, T. Czernuszewicz, R. Gessner, M. Willis, M. Niethammer, R. Kwitt, and S. Aylward, "Image-based methods for phase estimation, gating and temporal super-resolution of cardiac ultrasound," IEEE Transactions on Biomedical Engineering, pp. 1-1, 2018. [URL]
S. Gerber, M. Niethammer, M. Styner, and S. Aylward, "Exploratory Population Analysis with Unbalanced Optimal Transport," in Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Springer International Publishing, 2018, pp. 464-472. [URL]
J. Moore, N. Morgan, M. Rodgers, R. Lebensohn, and V. Chiravalle, "High Order Serendipity Space Finite Element Library for Massively Parallel VPSC Simulations," Poster presented at the Los Alamos National Labs student symposium, Los Alamos, New Mexico, 2018.
T. Czernuszewicz, V. Papadopoulou, J. Rojas, R. Rajamahendiran, J. Perdomo, J. Butler, M. Harlacher, G. O’Connell, D. Zukić, S. Aylward, P. Dayton, and R. Gessner, "A new preclinical ultrasound platform for widefield 3D imaging of rodents," Review of Scientific Instruments, vol. 89, no. 7, pp. 075107, 2018. [URL]
J. Vicory, L. Pascal, P. Hernandez, J. Fishbaugh, J. Prieto, M. Mostapha, C. Huang, H. Shah, J. Hong, Z. Liu, L. Michoud, J. Fillion-Robin, G. Gerig, H. Zhu, S. Pizer, M. Styner, and B. Paniagua, "SlicerSALT: Shape AnaLysis Toolbox," in Shape in Medical Imaging. Springer International Publishing, 2018, pp. 65-72. [URL]
J. Vicory, E. Murphy, and R. Halter, "Creation and Visualization of High-quality Tetrahedral Meshes from Segmentations using 3D Slicer," in 19th International Conference on Biomedical Applications of Electrical Impedance Tomography, 2018. [URL]
T. Nguyen, B. Paniagua, L. Pascal, J. Fishbaugh, C. Boen, J. Goncalves, L. Fischer, and T. Jackson, "A New Method for Quantifying Craniofacial Shape Changes," in 2018 IADR/PER General Session (London, England), 2018. [URL]
M. Goljan, J. Fridrich, and M. Kirchner, "Image Manipulation Detection Using Sensor Linear Pattern," in IS&T Electronic Imaging: Media Watermarking, Security, and Forensics, 2018. [URL]
F. Gessa, P. Asare, A. Bray, R. Clipp, and M. Poler, "Towards A Test and Validation Framework for Closed-Loop Physiology Management Systems for Critical and Perioperative Care," in Medical Cyber Physical Systems Workshop, 2018.
M. Fan, J. Vicory, S. McGill, S. Pizer, and J. Rosenman, "Features for the Detection of Flat Polyps in Colonoscopy Video," in Medical Image Understanding and Analysis, 2018. [URL]
C. McDaniel, N. Dunlop, R. White, Jr, G. Blakey, T. Nguyen, and B. Paniagua, "High fidelity virtual reality orthognathic surgery simulator," in Proceedings of the Annual Conference of the American College of Oral and Maxillofacial Surgeons, 2018.
D. Pugmire, A. Yenpure, M. Kim, J. Kress, R. Maynard, H. Childs, and B. Hentschel, "Performance-Portable Particle Advection with VTK-m," in Proceedings of the Eurographics Symposium on Parallel Graphics and Visualization, 2018. [URL]
Y. Ma, H. Guo, H. Chen, M. Tian, X. Huo, C. Long, S. Tang, X. Song, and Q. Wang, "A Method to Build Multi-Scene Datasets for CNN for Camera Pose Regression," in Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), 2018.
M. Leotta, E. Smith, and D. Russell, "TeleSculptor: Dense 3D Models from Uncalibrated FMV," in Proceedings of the MSS National Symposium on Passive Sensors, 2018.
V. Arikatla, T. Nguyen, G. Blakey, R. White, Jr, A. Enquobahrie, and B. Paniagua, "Virtual reality osteotomy trainer for orthognathic surgery," in Submitted to 10th National Image-Guided Therapy Workshop, 2018.
A. Hasan, E. Kolahdouz, A. Enquobahrie, T. Caranasos, J. Vavalle, and B. Griffith, "Image-based immersed boundary model of the aortic root," Medical Engineering & Physics, vol. 47, pp. 72-84, Sep. 2017. [URL]
Z. Sun and A. Hoogs, "Compact image representation by binary component analysis," in Proceedings of the IEEE International Conference on Image Processing, 2017. [URL]
E. Wengrowski, Z. Sun, and A. Hoogs, "Reflection correspondence for exposing photograph manipulation," in Proceedings of the IEEE International Conference on Image Processing, 2017. [URL]
S. Dangi, H. Shah, A. Porras, B. Paniagua, C. Linte, M. Linguraru, and A. Enquobahrie, "Robust head CT image registration pipeline for craniosynostosis skull correction surgery," Healthcare Technology Letters, vol. 4, no. 5, pp. 174-178, Oct. 2017. [URL]
C. Herz, J. Fillion-Robin, M. Onken, J. Riesmeier, A. Lasso, C. Pinter, G. Fichtinger, S. Pieper, D. Clunie, R. Kikinis, and A. Fedorov, "dcmqi : An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM," Cancer Research, vol. 77, no. 21, pp. e87-e90, Nov. 2017. [URL]
J. van Griethuysen, A. Fedorov, C. Parmar, A. Hosny, N. Aucoin, V. Narayan, R. Beets-Tan, J. Fillion-Robin, S. Pieper, and H. Aerts, "Computational Radiomics System to Decode the Radiographic Phenotype," Cancer Research, vol. 77, no. 21, pp. e104-e107, Nov. 2017. [URL]
D. Gutman, M. Khalilia, S. Lee, M. Nalisnik, Z. Mullen, J. Beezley, D. Chittajallu, D. Manthey, and L. Cooper, "The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research," Cancer Research, vol. 77, no. 21, pp. e75-e78, Nov. 2017. [URL]
J. Jomier, "Open science – towards reproducible research," Information Services & Use, vol. 37, no. 3, pp. 361-367, Nov. 2017. [URL]
D. Qi, K. Panneerselvam, W. Ahn, V. Arikatla, A. Enquobahrie, and S. De, "Virtual interactive suturing for the Fundamentals of Laparoscopic Surgery (FLS)," Journal of Biomedical Informatics, vol. 75, pp. 48-62, Nov. 2017. [URL]
R. Vetreno, R. Yaxley, B. Paniagua, G. Johnson, and F. Crews, "Adult rat cortical thickness changes across age and following adolescent intermittent ethanol treatment," Addiction Biology, vol. 22, no. 3, pp. 712-723, May 2017. [URL]
S. Han, A. Fafard, J. Kerekes, M. Gartley, E. Ientilucci, A. Savakis, C. Law, J. Parhan, M. Turek, K. Fieldhouse, and T. Rovito, "Efficient generation of image chips for training deep learning algorithms," in SPIE Defense + Security, 2017. [URL]
Y. Nie, X. Cao, C. Long, P. Li, and G. Li, "L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction," arxiv, Mar. 2017. [URL]
A. Porras, D. Zukić, A. Enquobahrie, R. Keating, G. Rogers, and M. Linguraru, "Personalized Optimal Planning of Fronto-Orbital Advancement Surgery for the Correction of Metopic Craniosynostosis from CT," in American Cleft Palate-Craniofacial Association's Annual Meeting, 2017.
M. Dawkins, L. Sherrill, K. Fieldhouse, A. Hoogs, B. Richards, D. Zhang, L. Prasad, K. Williams, N. Lauffenburger, and G. Wang, "An open-source platform for underwater image and video analytics," in Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2017. Winner, Best Paper Honorable Mention. [URL]
B. Paniagua, S. Kim, M. Moustapha, M. Styner, H. Cody-Hazlett, R. Gimple-Smith, A. Rumple, J. Piven, J. Gilmore, G. Skolnick, and K. Patel, "Brain structure in sagittal craniosynostosis," in SPIE Medical Imaging, 2017. [URL]
B. Paniagua, L. Pascal, J. Prieto, J. Vimort, L. Gomes, M. Yatabe, A. Ruellas, F. Budin, S. Pieper, M. Styner, E. Benavides, and L. Cevidanes, "Diagnostic index: an open-source tool to classify TMJ OA condyles," in SPIE Medical Imaging, 2017. [URL]
J. Prieto, B. Paniagua, M. Yatabe, A. Ruellas, L. Fattori, L. Muniz, M. Styner, and L. Cevidanes, "Federating heterogeneous datasets to enhance data sharing and experiment reproducibility," in SPIE Medical Imaging, 2017. [URL]
L. Potter, S. Arikatla, A. Bray, J. Webb, and A. Enquobahrie, "Physiology informed virtual surgical planning: a case study with a virtual airway surgical planner and BioGears," in SPIE Medical Imaging, 2017. [URL]
P. Tabrizi, H. Sang, H. Talari, D. Preciado, R. Monfaredi, B. Reilly, S. Arikatla, A. Enquobahrie, and K. Cleary, "Temporal bone dissection simulator for training pediatric otolaryngology surgeons," in SPIE Medical Imaging, 2017. [URL]
C. Ahlbrecht, A. Ruellas, B. Paniagua, J. Schilling, J. McNamara, and L. Cevidanes, "Three-dimensional characterization of root morphology for maxillary incisors," PLOS ONE, vol. 12, no. 6, pp. e0178728, Jun. 2017. [URL]
R. Zhang, D. Zukić, D. Byrd, A. Enquobahrie, A. Alessio, K. Cleary, and P. Kinahan, "A deformable registration workflow for motion correction in PET-CT guided biopsy," in Society of Nuclear Medicine and Molecular Imaging Annual Meeting, 2017.
Y. Jiang, E. Padgett, M. Hanwell, C. Quammen, C. Harris, S. Waldon, D. Muller, and R. Hovden, "tomviz: Providing Advanced Electron Tomography by Streamlining Alignment, Reconstruction, and 3D Visualization," Microscopy and Microanalysis, vol. 23, no. S1, pp. 222-223, Jul. 2017. [URL]
A. Patwardhan, R. Brandt, S. Butcher, L. Collinson, D. Gault, K. Grünewald, C. Hecksel, J. Huiskonen, A. Iudin, M. Jones, P. Korir, A. Koster, I. Lagerstedt, C. Lawson, D. Mastronarde, M. McCormick, H. Parkinson, P. Rosenthal, S. Saalfeld, H. Saibil, S. Sarntivijai, I. Solanes Valero, S. Subramaniam, J. Swedlow, I. Tudose, M. Winn, and G. Kleywegt, "Building bridges between cellular and molecular structural biology," eLife, vol. 6, pp. e25835, Jul. 2017. [URL]
C. Long and G. Hua, "Correlational Gaussian Processes for Cross-Domain Visual Recognition," in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [URL]
C. Long, E. Smith, A. Basharat, and A. Hoogs, "A C3D-based convolutional neural network for frame dropping detection in a single video shot," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop on Media Forensics, 2017. [URL]
S. Gerber and M. Maggioni, "Multiscale Strategies for Computing Optimal Transport," Journal of Machine Learning Research, vol. 18, no. 1, pp. 2440-2471, Jan. 2017. [URL]
M. M McCormick, M. L Palmeri, J. Fillion-Robin, and S. Aylward, "SlicerITKUltrasound: A 3D Slicer extension for scan conversion of B-mode and next-generation ultrasound imaging modalities," The Journal of Open Source Software, vol. 2, no. 10, pp. 153, Feb. 2017. [URL]
M. Hanwell, W. de Jong, and C. Harris, "Open chemistry: RESTful web APIs, JSON, NWChem and the modern web application," Journal of Cheminformatics, vol. 9, no. 1, Dec. 2017. [URL]
F. Ebrahim, A. Ruellas, B. Paniagua, E. Benavides, K. Jepsen, L. Wolford, J. Goncalves, and L. Cevidanes, "Accuracy of biomarkers obtained from cone beam computed tomography in assessing the internal trabecular structure of the mandibular condyle," Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology, vol. 124, no. 6, pp. 588-599, Dec. 2017. [URL]
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M. Judson, A. Burette, C. Thaxton, A. Pribisko, M. Shen, A. Rumple, W. Del Cid, B. Paniagua, M. Styner, R. Weinberg, and B. Philpot, "Decreased Axon Caliber Underlies Loss of Fiber Tract Integrity, Disproportional Reductions in White Matter Volume, and Microcephaly in Angelman Syndrome Model Mice," The Journal of Neuroscience, vol. 37, no. 31, pp. 7347-7361, Aug. 2017. [URL]
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