James Fishbaugh

Staff R&D Engineer

Medical Computing

Kitware North Carolina
Carrboro, NC

Ph.D. in Computing: Image Analysis
University of Utah

M.S. in Computer Science
University of Montana

B.S. in Computer Science
University of Montana

James Fishbaugh is a staff R&D engineer on Kitware’s Medical Computing Team located in Carrboro, North Carolina. He serves as a medical image analysis researcher to help develop Kitware’s advanced image analysis and machine learning algorithms. He also works to extend the capabilities of VTK, ITK, and 3D Slicer to help users investigate new medical procedures and imaging systems, release innovative products, and improve patient care.

Prior to joining Kitware, James was a research assistant professor of computer science and engineering at NYU. While there, he helped manage the Gerig Medical Imaging Lab and taught computer vision.

James received his Ph.D. in computing: image analysis from the University of Utah. He received both his master’s and bachelor’s degrees in computer science from the University of Montana.

Publications

  1. M. Ren, N. Dey, J. Fishbaugh, and G. Gerig, "Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization," IEEE Transactions on Medical Imaging, vol. 40, no. 6, pp. 1519-1530, Jun. 2021. [URL]
  2. G. Gisbert, N. Dey, H. Ishikawa, J. Schuman, J. Fishbaugh, and G. Gerig, "Improved Denoising of Optical Coherence Tomography via Repeated Acquisitions and Unsupervised Deep Learning," nvestigative Ophthalmology & Visual Science, vol. 61, no. 9, Jul. 2020. [URL]
  3. M. Cloos, J. Assländer, B. Abbas, J. Fishbaugh, J. Babb, G. Gerig, and R. Lattanzi, "Rapid Radial T 1 and T 2 Mapping of the Hip Articular Cartilage With Magnetic Resonance Fingerprinting: Rapid Hip Cartilage T 1 and T 2 Mapping," Journal of Magnetic Resonance Imaging, vol. 50, no. 3, pp. 810-815, Sep. 2019. [URL]
  4. B. Abbas, J. Fishbaugh, C. Petchprapa, R. Lattanzi, and G. Gerig, "Analysis of the kinematic motion of the wrist from 4D magnetic resonance imaging," in Medical Imaging 2019: Image Processing, 2019. [URL]
  5. J. Fishbaugh and G. Gerig, "Acceleration Controlled Diffeomorphisms For Nonparametric Image Regression," in 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019. [URL]
  6. S. Hong, J. Fishbaugh, and G. Gerig, "4D continuous medial representation by geodesic shape regression," in 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018. [URL]
  7. 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]
  8. 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]
  9. 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]
  10. J. Fishbaugh, S. Durrleman, M. Prastawa, and G. Gerig, "Geodesic shape regression with multiple geometries and sparse parameters," Medical Image Analysis, vol. 39, pp. 1-17, Jul. 2017. [URL]
  11. A. Vardhan, J. Fishbaugh, C. Vachet, and G. Gerig, "Longitudinal Modeling of Multi-modal Image Contrast Reveals Patterns of Early Brain Growth," in Medical Image Computing and Computer Assisted Intervention − MICCAI 2017. Springer International Publishing, 2017, pp. 75-83. [URL]
  12. J. Fishbaugh, B. Paniagua, V. Boen, L. Cevidanes, and G. Gerig, "Continuous 4D Shape Analysis of Mandibular Changes," in 2017 IADR/AADR/CADR General Session (San Francisco, California), 2017. [URL]
  13. G. Gerig, J. Fishbaugh, and N. Sadeghi, "Longitudinal modeling of appearance and shape and its potential for clinical use," Medical Image Analysis, vol. 33, pp. 114-121, Oct. 2016. [URL]
  14. P. Muralidharan, J. Fishbaugh, E. Kim, H. Johnson, J. Paulsen, G. Gerig, and P. Fletcher, "Bayesian covariate selection in mixed-effects models for longitudinal shape analysis," in 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 2016. [URL]
  15. J. Fishbaugh, M. Prastawa, G. Gerig, and S. Durrleman, "Geodesic regression of image and shape data for improved modeling of 4D trajectories," in 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 2014. [URL]
  16. P. Muralidharan, J. Fishbaugh, H. Johnson, S. Durrleman, J. Paulsen, G. Gerig, and P. Fletcher, "Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics," in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. Springer International Publishing, 2014, pp. 49-56. [URL]
  17. B. Paniagua, O. Emodi, J. Hill, J. Fishbaugh, L. Pimenta, S. Aylward, A. Enquobahrie, G. Gerig, J. Gilmore, J. van Aalst, and M. Styner, "3D of brain shape and volume after cranial vault remodeling surgery for craniosynostosis correction in infants," in SPIE Medical Imaging, 2013. [URL]
  18. J. Fishbaugh, M. Prastawa, G. Gerig, and S. Durrleman, "Geodesic Image Regression with a Sparse Parameterization of Diffeomorphisms," in Geometric Science of Information. Springer Berlin Heidelberg, 2013, pp. 95-102. [URL]
  19. J. Fishbaugh, M. Prastawa, G. Gerig, and S. Durrleman, "Geodesic Shape Regression in the Framework of Currents," in Information Processing in Medical Imaging. Springer Berlin Heidelberg, 2013, pp. 718-729. [URL]
  20. J. Fishbaugh, S. Durrleman, J. Piven, and G. Gerig, "A framework for longitudinal data analysis via shape regression," in SPIE Medical Imaging, 2012. [URL]
  21. J. Fishbaugh, M. Prastawa, S. Durrleman, J. Piven, and G. Gerig, "Analysis of Longitudinal Shape Variability via Subject Specific Growth Modeling," in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. Springer Berlin Heidelberg, 2012, pp. 731-738. [URL]
  22. J. Fishbaugh, S. Durrleman, and G. Gerig, "Estimation of Smooth Growth Trajectories with Controlled Acceleration from Time Series Shape Data," in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011. Springer Berlin Heidelberg, 2011, pp. 401-408. [URL]

Bibliography generated 2022-06-01-11:03:39 (5029)

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