Josh Cates, Ph.D.

Technical Leader

Medical Computing

Kitware Remote

Ph.D. in Computer Science
University of Utah

M.S. in Computer Science
University of Tennessee

B.S. in Biology
University of Tennessee

Profile siloutte with hexagons in the background.

Josh Cates, Ph.D. is a technical leader working remotely on Kitware’s Medical Computing Team. He is focused on new grant funding and business consulting opportunities in the space of biomedical image computing.

Prior to working at Kitware, Josh was vice president of research and development at OrthoGrid Systems, where he built and led R&D teams in the creation of three FDA-cleared medical device software products for AI-based fluoroscopic surgical navigation.

Josh was also a research professor at the University of Utah, where he investigated image-based cardiac functional metrics and predictive analytics for arrhythmia and stroke risk.

Josh has worked in open science software communities for many years.  He was part of the original development of ITK, Kitware’s open source image analysis toolkit, and created open source software toolkits for statistical shape analysis and biomedical image segmentation.

Josh received a Ph.D. in computer science from the University of Utah, a master’s degree in computer science from the University of Tennessee, and a bachelor’s degree in biology from the University of Tennessee.

Publications

  1. E. Bieging, A. Morris, L. Chang, L. Dagher, N. Marrouche, and J. Cates, "Statistical shape analysis of the left atrial appendage predicts stroke in atrial fibrillation," The International Journal of Cardiovascular Imaging, vol. 37, no. 8, pp. 2521-2527, Aug. 2021. [URL]
  2. R. Haq, J. Schmid, R. Borgie, J. Cates, and M. Audette, "Deformable multisurface segmentation of the spine for orthopedic surgery planning and simulation," Journal of Medical Imaging, vol. 7, no. 01, pp. 1, Feb. 2020. [URL]
  3. A. Morris, E. Kholmovski, N. Marrouche, J. Cates, and S. Elhabian, "An Image-based Approach for 3D Left Atrium Functional Measurements," in 2020 Computing in Cardiology Conference, 2020. [URL]
  4. R. Bhalodia, A. Subramanian, A. Morris, J. Cates, E. Kholmovski, N. Marrouche, and S. Elhabian, "Does Alignment in Statistical Shape Modeling of Left Atrium Appendage Impact Stroke Prediction?," in 2019 Computing in Cardiology Conference, 2019. [URL]
  5. S. Parikh, A. Goparaju, R. Bhalodia, B. Loveless, A. Morris, J. Cates, E. Kholmovski, N. Marrouche, and S. Elhabian, "Efficient Segmentation Pipeline Using Diffeomorphic Image Registration: A Validation Study," in 2019 Computing in Cardiology Conference, 2019. [URL]
  6. A. Goparaju, A. Morris, I. Csecs, R. Bhalodia, T. Ditter, K. Fuimaono, E. Kholmovski, N. Marrouche, J. Cates, and S. Elhabian, "Interatrial Septum and Appendage Ostium in Atrial Fibrillation Patients: A Population Study," in 2019 Computing in Cardiology Conference, 2019. [URL]
  7. T. Sodergren, R. Bhalodia, R. Whitaker, J. Cates, N. Marrouche, and S. Elhabian, "Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation," in Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges. Springer International Publishing, 2019, pp. 357-367. [URL]
  8. M. Chelu, A. Morris, E. Kholmovski, J. King, G. Kaur, M. Silver, J. Cates, F. Han, and N. Marrouche, "Durable lesion formation while avoiding esophageal injury during ablation of atrial fibrillation: Lessons learned from late gadolinium MR imaging," Journal of Cardiovascular Electrophysiology, vol. 29, no. 3, pp. 385-392, Mar. 2018. [URL]
  9. E. Bieging, A. Morris, B. Wilson, C. McGann, N. Marrouche, and J. Cates, "Left atrial shape predicts recurrence after atrial fibrillation catheter ablation: BIEGING et al.," Journal of Cardiovascular Electrophysiology, vol. 29, no. 7, pp. 966-972, Jul. 2018. [URL]
  10. R. Bhalodia, A. Goparaju, T. Sodergren, R. Whitaker, A. Morris, E. Kholmovski, N. Marrouche, J. Cates, and S. Elhabian, "Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation," in 2018 Computing in Cardiology Conference, 2018. [URL]
  11. T. Sodergren, A. Goparaju, A. Morris, E. Kholmovski, N. Marrouche, J. Cates, and S. Elhabian, "Interactive Exploration of Left Atrium Population-Level Morphology in Atrial Fibrillation Patients," in 2018 Computing in Cardiology Conference, 2018. [URL]
  12. J. Cates, L. Nevell, S. Prajapati, L. Nelon, J. Chang, M. Randolph, B. Wood, C. Keller, and R. Whitaker, "Shape analysis of the basioccipital bone in Pax7-deficient mice," Scientific Reports, vol. 7, no. 1, pp. 17955, Dec. 2017. [URL]
  13. J. Cates, S. Elhabian, and R. Whitaker, "ShapeWorks," in Statistical Shape and Deformation Analysis. Elsevier, 2017, pp. 257-298. [URL]
  14. R. White, M. Labedi, J. King, C. Pacchia, K. Johnson, G. Kaur, J. Cates, A. Morris, and N. Marrouche, "Atrial fibrosis progression in patients with Atrial Fibrillation," Journal of Cardiovascular Magnetic Resonance, vol. 18, no. S1, pp. P149, 1532-429X-18-S1-P149, Dec. 2016. [URL]
  15. E. Bieging, A. Morris, J. Cates, and N. Marrouche, "Regional left atrial wall fibrosis and recurrence after atrial fibrillation ablation," Journal of Cardiovascular Magnetic Resonance, vol. 18, no. S1, pp. P200, 1532-429X-18-S1-P200, Dec. 2016. [URL]
  16. E. Bieging, A. Morris, J. Cates, B. Wilson, and N. Marrouche, "MULTIPLE CLINICAL FACTORS AFFECT LEFT ATRIAL SHAPE IN ATRIAL FIBRILLATION," Journal of the American College of Cardiology, vol. 67, no. 13, pp. 1829, Apr. 2016. [URL]
  17. R. Haq, J. Cates, D. Besachio, R. Borgie, and M. Audette, "Statistical Shape Model Construction of Lumbar Vertebrae and Intervertebral Discs in Segmentation for Discectomy Surgery Simulation," in Computational Methods and Clinical Applications for Spine Imaging. Springer International Publishing, 2016, pp. 85-96. [URL]
  18. E. Bieging, A. Morris, J. Cates, N. Marrouche, and C. McGann, "LEFT ATRIAL SHAPE PREDICTS RECURRENCE AFTER ATRIAL FIBRILLATION ABLATION," Journal of the American College of Cardiology, vol. 65, no. 10, pp. A1294, Mar. 2015. [URL]
  19. Y. Gao, L. Zhu, J. Cates, R. MacLeod, S. Bouix, and A. Tannenbaum, "A Kalman Filtering Perspective for Multiatlas Segmentation," SIAM Journal on Imaging Sciences, vol. 8, no. 2, pp. 1007-1029, Jan. 2015. [URL]
  20. B. Zenger, J. Cates, A. Morris, E. Kholmovski, A. Au, R. Ranjan, N. Akoum, C. McGann, B. Wilson, N. Marrouche, F. Han, and R. MacLeod, "A practical algorithm for improving localization and quantification of left ventricular scar," in Computing in Cardiology 2014, 2014. [URL]
  21. J. Cates, E. Bieging, A. Morris, G. Gardner, N. Akoum, E. Kholmovski, N. Marrouche, C. McGann, and R. MacLeod, "Computational Shape Models Characterize Shape Change of the Left Atrium in Atrial Fibrillation," Clinical Medicine Insights: Cardiology, vol. 8s1, pp. CMC.S15710, Jan. 2014. [URL]
  22. E. Bieging, C. McGann, A. Morris, A. Rassa, and J. Cates, "Left atrial spherical shape change in atrial fibrillation," Journal of Cardiovascular Magnetic Resonance, vol. 16, no. S1, pp. O41, Jan. 2014. [URL]
  23. G. Gardner, A. Morris, K. Higuchi, R. MacLeod, and J. Cates, "A point-correspondence approach to describing the distribution of image features on anatomical surfaces, with application to atrial fibrillation," in 2013 IEEE 10th International Symposium on Biomedical Imaging, 2013. [URL]
  24. M. Datar, I. Lyu, S. Kim, J. Cates, M. Styner, and R. Whitaker, "Geodesic Distances to Landmarks for Dense Correspondence on Ensembles of Complex Shapes," in Advanced Information Systems Engineering. Springer Berlin Heidelberg, 2013, pp. 19-26. [URL]
  25. D. Perry, A. Morris, N. Burgon, C. McGann, R. MacLeod, and J. Cates, "Automatic classification of scar tissue in late gadolinium enhancement cardiac MRI for the assessment of left-atrial wall injury after radiofrequency ablation," in SPIE Medical Imaging, 2012. [URL]
  26. J. Walker, S. Vijayakumar, E. Kholmovski, N. Burgon, A. Morris, J. Cates, C. McGann, and N. Marrouche, "Left atrial volume measurements before and after left atrial ablation for the treatment of atrial fibrillation," Journal of Cardiovascular Magnetic Resonance, vol. 14, no. S1, pp. P201, 1532-429X-14-S1-P201, Dec. 2012. [URL]
  27. Liangjia Zhu, Yi Gao, A. Yezzi, R. MacLeod, J. Cates, and A. Tannenbaum, "Automatic segmentation of the left atrium from MRI images using salient feature and contour evolution," in 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012. [URL]
  28. J. Cates, Y. Pan, V. Battle, and R. Whitaker, "Cone-beam CT data-driven pose correction for analytic reconstruction methods," in SPIE Medical Imaging, 2011. [URL]
  29. C. Vachet, H. Cody Hazlett, M. Niethammer, I. Oguz, J. Cates, R. Whitaker, J. Piven, and M. Styner, "Group-wise automatic mesh-based analysis of cortical thickness," in SPIE Medical Imaging, 2011. [URL]
  30. C. McGann, E. Kholmovski, J. Blauer, S. Vijayakumar, T. Haslam, J. Cates, E. DiBella, N. Burgon, B. Wilson, A. Alexander, M. Prastawa, M. Daccarett, G. Vergara, N. Akoum, D. Parker, R. MacLeod, and N. Marrouche, "Dark Regions of No-Reflow on Late Gadolinium Enhancement Magnetic Resonance Imaging Result in Scar Formation After Atrial Fibrillation Ablation," Journal of the American College of Cardiology, vol. 58, no. 2, pp. 177-185, Jul. 2011. [URL]
  31. C. McGann, E. Kholmovski, J. Blauer, S. Vijayakumar, T. Haslam, J. Cates, E. DiBella, N. Burgon, B. Wilson, A. Alexander, M. Prastawa, M. Daccarett, G. Vergara, N. Akoum, D. Parker, R. MacLeod, and N. Marrouche, "Dark Regions of No-Reflow on Late Gadolinium Enhancement Magnetic Resonance Imaging Result in Scar Formation After Atrial Fibrillation Ablation," Journal of the American College of Cardiology, vol. 58, no. 2, pp. 177-185, Jul. 2011. [URL]
  32. C. Gloschat, J. Cates, B. Walker, and R. MacLeod, "Statistical shape modeling of the left atrium from MRI of patients with atrial fibrillation," Journal of Cardiovascular Magnetic Resonance, vol. 13, no. S1, pp. P57, 1532-429X-13-S1-P57, Dec. 2011. [URL]
  33. J. Blauer, J. Cates, C. McGann, E. Kholmovski, A. Alexander, M. Prastawa, S. Joshi, N. Marrouche, and R. MacLeod, "MRI based injury characterization immediately following ablation of atrial fibrillation," in 2010 Computing in Cardiology, 2010. [URL]
  34. M. Datar, J. Cates, P. Fletcher, S. Gouttard, G. Gerig, and R. Whitaker, "Particle Based Shape Regression of Open Surfaces with Applications to Developmental Neuroimaging," in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. Springer Berlin Heidelberg, 2009, pp. 167-174. [URL]
  35. J. Cates, T. Fletcher, and R. Whitaker, "A Hypothesis Testing Framework for High-Dimensional Shape Models," in 2nd MICCAI Workshop on Mathematical Foundations of Computational Anatomy, 2008. [URL]
  36. J. Cates, P. Fletcher, Z. Warnock, and R. Whitaker, "A shape analysis framework for small animal phenotyping with application to mice with a targeted disruption of Hoxd11," in 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008. [URL]
  37. I. Oguz, J. Cates, T. Fletcher, R. Whitaker, D. Cool, S. Aylward, and M. Styner, "Cortical correspondence using entropy-based particle systems and local features," in 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008. [URL]
  38. J. Cates, P. Fletcher, M. Styner, H. Hazlett, and R. Whitaker, "Particle-Based Shape Analysis of Multi-object Complexes," in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008. Springer Berlin Heidelberg, 2008, pp. 477-485. [URL]
  39. J. Cates, P. Fletcher, M. Styner, M. Shenton, and R. Whitaker, "Shape Modeling and Analysis with Entropy-Based Particle Systems," in Information Processing in Medical Imaging. Springer Berlin Heidelberg, 2007, pp. 333-345. [URL]
  40. J. Cates, M. Meyer, T. Fletcher, and R. Whitaker, "Entropy-Based Particle Systems for Shape Correspondence," in 1st MICCAI Workshop on Mathematical Foundations of Computational Anatomy: Geometrical, Statistical and Registration Methods for Modeling Biological Shape Variability, 2006. [URL]
  41. J. Cates, D. Weinstein, and M. Davis, "The Center for Integrative Biomedical Computing: Advancing Biomedical Science with Open Source," in 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., 2006. [URL]
  42. J. Cates, R. Whitaker, and G. Jones, "Case study: an evaluation of user-assisted hierarchical watershed segmentation," Medical Image Analysis, vol. 9, no. 6, pp. 566-578, Dec. 2005. [URL]
  43. J. Cates, A. Lefohn, and R. Whitaker, "GIST: an interactive, GPU-based level set segmentation tool for 3D medical images," Medical Image Analysis, vol. 8, no. 3, pp. 217-231, Sep. 2004. [URL]
  44. A. Lefohn, J. Cates, and R. Whitaker, "Interactive, GPU-Based Level Sets for 3D Segmentation," in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. Springer Berlin Heidelberg, 2003, pp. 564-572. [URL]

Bibliography generated 2023-02-13-10:30:04 (5868)