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Items where Author is "Al-Arif, S. M."

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Number of items: 5.

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

Conference or Workshop Item

Riaz, A., Asad, M., Al-Arif, S. M., Alonso, E. ORCID: 0000-0002-3306-695X, Dima, D. ORCID: 0000-0002-2598-0952, Corr, P. J. ORCID: 0000-0002-7618-0058 and Slabaugh, G. G. (2018). DeepFMRI: And End-to-End Deep Network for Classification of FRMI Data. Paper presented at the 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 4-7 Apr 2018, Washington, D. C..

Slabaugh, G. G., Knapp, K. and Al-Arif, S. M. (2017). Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network. Paper presented at the British Machine Vision Conference 2017, 4-7 Sep 2017, London, UK.

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 Wed Jul 17 05:34:58 2019 UTC.