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Items where Author is "Gundry, M."

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Number of items: 5.

Article

Slabaugh, G. G., Gundry, M., Knapp, K., Asad, M. and Al Arif, S. M. M. R. (2017). Patch-based Corner Detection for Cervical Vertebrae in X-ray Images. Signal Processing: Image Communication, doi: 10.1016/j.image.2017.04.002

Book Section

Al-Arif, S. M., Gundry, M., Knapp, K. and Slabaugh, G. G. (2017). Improving an Active Shape Model with Random Classiļ¬cation Forest for Segmentation of Cervical Vertebrae. In: Yao, J., Vrtovec, T., Zheng, G., Frangi, A., Glocker, B. and 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. ISBN 978-3-319-55049-7

Al Arifi, S. M. M. R., Asad, M., Knapp, K., Gundry, M. and 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. ISBN 978-1-4799-8636-1

Conference or Workshop Item

Al-Arif, S. M., Gundry, M., Slabaugh, G. G. and 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. Lecture Notes in Computer Science, 10182. (pp. 64-76). Cham: Springer. ISBN 978-3-319-55049-7

Al-Arif, S. M., Asad, M., Knapp, K., Gundry, M. and 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.

This list was generated on Thu Sep 19 05:07:58 2019 UTC.