Items where Author is "Gundry, M."
Article
Slabaugh, G. G., Gundry, M., Knapp, K. , Asad, M. & Al Arif, S. M. M. R. (2017). Patch-based Corner Detection for Cervical Vertebrae in X-ray Images. Signal Processing: Image Communication, 59, pp. 27-36. doi: 10.1016/j.image.2017.04.002
Book Section
Al-Arif, S. M., Gundry, M., Knapp, K. & Slabaugh, G. G. (2017). Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae. In: Yao, J., Vrtovec, T., Zheng, G. , Frangi, A., Glocker, B. & Li, S. (Eds.), Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae. Lecture Notes in Computer Science, 10182. (pp. 3-15). Cham: Springer.
Al Arifi, S. M. M. R., Asad, M., Knapp, K. , Gundry, M. & Slabaugh, G. G. (2015). Cervical Vertebral Corner Detection using Haar-like Features and Modified Hough Forest. In: 2015 International Conference on Image Processing Theory, Tools and Applications. (pp. 417-422). IEEE. doi: 10.1109/IPTA.2015.7367179
Conference or Workshop Item
Al-Arif, S. M., Gundry, M., Slabaugh, G. G. & Knapp, K. (2017). Global Localization and Orientation of the Cervical Spine in X-ray Imaging. In: Computational Methods and Clinical Applications for Spine Imaging. CSI 2016. Computational Methods and Clinical Applications for Spine Imaging, 17 Oct 2016, Athens, Greece.
Al-Arif, S. M., Asad, M., Knapp, K. , Gundry, M. & Slabaugh, G. G. (2015). Hough Forest-based Corner Detection for Cervical Spine Radiographs. Paper presented at the Medical Image Understanding and Analysis Conference, MIUA 2015, 15-07-2015 - 17-07-2015, University of Lincoln, UK.