1. 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 SPIE Medical Imaging, 2018. [URL]
2. 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]
3. 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]
4. J. Vimort, M. McCormick, F. Budin, and B. Paniagua, "Computing Textural Feature Maps for N-Dimensional images," Insight Journal, 2017. [URL]
5. M. Yatabe, A. Ruellas, L. Gomes, L. Macron, J. Lopinto, B. Paniagua, F. Budin, and L. Cevidanes, "Comparative Study of Three Methods to Compute 3D Craniofacial Angular Measurements," in 2017 IADR/AADR/CADR General Session (San Francisco, California), 2017. [URL]
6. N. Pentis, S. Pieper, V. Boen, L. Cevidanes, A. Ruellas, M. Yatabe, L. Macron, J. Lopinto, F. Budin, B. Paniagua, M. Styner, and J. Prieto, "Evaluating Dental and Craniofacial Bionetwork for Image Analysis's Dissemination Efforts," in 2017 IADR/AADR/CADR General Session (San Francisco, California), 2017. [URL]
7. L. Cevidanes, A. Ruellas, J. Jomier, T. Nguyen, S. Pieper, F. Budin, M. Styner, and B. Paniagua, "Incorporating 3-dimensional models in online articles," American Journal of Orthodontics and Dentofacial Orthopedics, vol. 147, no. 5, pp. S195-S204, May 2015. [URL]
8. B. Paniagua, J. Pera, F. Budin, L. Gomes, M. Styner, C. Lucia, and T. Nguyen, "Validation of TMJ osteoarthritis synthetic defect database created using non-rigid registration," in SPIE Medical Imaging, 2015. [URL]
9. I. Oguz, M. Farzinfar, J. Matsui, F. Budin, Z. Liu, G. Gerig, H. Johnson, and M. Styner, "DTIPrep: quality control of diffusion-weighted images," Frontiers in Neuroinformatics, vol. 8, pp. 4, 2014. [URL]
10. J. Pera, T. Nguyen, F. Budin, C. Phillips, and B. Paniagua, "3DMeshMetric: An open source tool for quantitative 3D morphology assessment," in 2014 AADR/CADR Annual Meeting (Charlotte, North Carolina), 2014. [URL]
11. M. Grauer, P. Reynolds, M. Hoogstoel, F. Budin, M. Styner, and I. Oguz, "A midas plugin to enable construction of reproducible web-based image processing pipelines," Frontiers in Neuroinformatics, vol. 7, pp. 46, 2013. [URL]
12. F. Budin, M. Hoogstoel, P. Reynolds, M. Grauer, S. O'Leary-Moore, and I. Oguz, "Fully automated rodent brain MR image processing pipeline on a Midas server: from acquired images to region-based statistics," Frontiers in Neuroinformatics, vol. 7, pp. 15, 2013. [URL]
13. J. Lee, C. Ehlers, F. Crews, M. Niethammer, F. Budin, B. Paniagua, K. Sulik, J. Johns, M. Styner, and I. Oguz, "Automatic cortical thickness analysis on rodent brain," in Proceedings of SPIE--the International Society for Optical Engineering, 2011. [URL]