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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

  1. 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]
  2. C. Cinel, "Linearly Sofic Lie Algebras: Extensions and Embeddings," Journal of Algebra and Its Applications, pp. S0219498825503566, Jul. 2024. [URL]
  3. 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]
  4. W. Schroeder, S. Tsalikis, M. Halle, and S. Frisken, "A High-Performance SurfaceNets Discrete Isocontouring Algorithm," arXiv, Jan. 2024. [URL]
  5. 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]
  6. 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]
  7. 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]
  8. 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.
  9. 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]
  10. 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]
  11. 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]
  12. 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.
  13. 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.
  14. 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]
  15. 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]
  16. 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.
  17. 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.
  18. 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.
  19. K. Regmi, M. Kirchner, and A. Basharat, "Generalizable synthetic image detection," in Proceedings of the National Security Sensor and Data Fusion Committee (NSSDF), 2023.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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]
  25. 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]
  26. 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]
  27. 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]
  28. C. Funk and Y. Liu, "EscherNet 101," arXiv:2303.04208, Mar. 2023. [URL]
  29. 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]
  30. 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]
  31. 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]
  32. 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]
  33. C. Cinel, "Linearly sofic Lie algebras," Journal of Algebra and Its Applications, pp. 2450240, Jul. 2023. [URL]
  34. 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]
  35. 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]
  36. 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]
  37. 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]
  38. 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]
  39. S. Snarski and J. Webb, "Design Considerations for Staring Infrared Search and Track Projectile Tracking Systems," in SENSOR SYSTEM DESIGN & DEVELOPMENT, 2023. [URL]
  40. 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]
  41. 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.
  42. 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]
  43. 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]
  44. 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]
  45. 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]
  46. 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]
  47. J. Li et al., "MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision," Computer Vision and Pattern Recognition, 2023. [URL]
  48. 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]
  49. 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]
  50. 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]
  51. 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]
  52. 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]
  53. D. Allemang, "Common 3D Slicer Infrastructure for Interactive Landmark Placement," in American Association for Dental, Oral, and Craniofacial Research, 2023.
  54. 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]
  55. 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]
  56. 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]
  57. 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]
  58. 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]
  59. 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]
  60. 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.
  61. 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.
  62. 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]
  63. W. Schroeder, J. Waters, E. Bresciani, and R. Bujack, "Topological Segmentation of 2D Vector Fields," LEVIA'22, Jul. 2022.
  64. 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]
  65. 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]
  66. 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]
  67. 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]
  68. 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]
  69. 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]
  70. 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]
  71. 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]
  72. 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]
  73. 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]
  74. 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]
  75. 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]
  76. 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]
  77. 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]
  78. 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]
  79. 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]
  80. 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]
  81. 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]
  82. S. McCloskey, "Computational Imaging," in Multimedia Forensics. Springer Singapore, 2022, pp. 41-62. [URL]
  83. M. Kirchner, "Sensor Fingerprints: Camera Identification and Beyond," in Multimedia Forensics. Springer Singapore, 2022, pp. 65-88. [URL]
  84. C. Long, A. Basharat, and A. Hoogs, "Video Frame Deletion and Duplication," in Multimedia Forensics. Springer Singapore, 2022, pp. 333-362. [URL]
  85. 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]
  86. 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]
  87. 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]
  88. 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]
  89. 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]
  90. 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.
  91. 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]
  92. 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]
  93. 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]
  94. 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]
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  225. 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]
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  251. 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]
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  254. 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.
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  268. 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]
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