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

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Number of items: 5.

Article

Riaz, A., Asad, M., Al-Arif, S. M., Alonso, E., Dima, D., Corr, P. J. & Slabaugh, G.G. (2018). DeepFMRI: And End-to-End Deep Network for Classification of FRMI Data. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), pp. 1419-1422. doi: 10.1109/ISBI.2018.8363838

Conference or Workshop Item

Slabaugh, G.G., Knapp, K. & 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. & Knapp, K. (2016). Global Localization and Orientation of the Cervical Spine in X-ray Imaging. Paper presented at the Computational Methods and Clinical Applications for Spine Imaging, 17 Oct 2016, Athens, Greece.

Al-Arif, S. M., Gundry, M., Knapp, K. & Slabaugh, G.G. (2016). Improving an Active Shape Model with Random Classiļ¬cation Forest for Segmentation of Cervical Vertebrae. Paper presented at the 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.

This list was generated on Fri Jul 20 04:58:00 2018 UTC.