Items where Author is "Asad, M."
Riaz, A., Asad, M., Alonso, E. 
ORCID: 0000-0002-3306-695X & Slabaugh, G. G. (2020).
DeepFMRI: End-to-end deep learning for functional
connectivity and classification of ADHD using fMRI.
Journal of Neuroscience Methods, 335,
article number 108506.
doi: 10.1016/j.jneumeth.2019.108506
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 & 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
Riaz, A., Asad, M., Alonso, E. & Slabaugh, G. G. (2017). Fusion of fMRI and Non-Imaging Data for ADHD Classification. Computerized Medical Imaging and Graphics, 65, pp. 115-128. doi: 10.1016/j.compmedimag.2017.10.002
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
Asad, M. (2017). Efficient hand orientation and pose estimation for uncalibrated cameras. (Unpublished Doctoral thesis, City, University of London)
Riaz, A., Asad, M., Al-Arid, S. M. M. R. , Alonso, E., Dima, D., Corr, P. J. & Slabaugh, G. G. (2017). FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from functional MRI. Lecture Notes in Computer Science, 10511, pp. 70-78. doi: 10.1007/978-3-319-67159-8_9
Lazareva, A., Asad, M. & Slabaugh, G. G. (2017). Learning to Deblur Adaptive Optics Retinal Images. Paper presented at the 14th International Conference, ICIAR 2017, 5-7 Jul 2017, Montreal, Canada.
Asad, M. & Slabaugh, G. G. (2017). Staged Probabilistic Regression for Hand Orientation Inference. Computer Vision and Image Understanding, 161, pp. 114-129. doi: 10.1016/j.cviu.2017.05.009
Asad, M. & Slabaugh, G. G. (2016). Learning Marginalization through Regression for Hand Orientation Inference. 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 1215-1223. doi: 10.1109/CVPRW.2016.154
Slabaugh, G. G., Asad, M. & Yang, G. (2016). Supervised Partial Volume Effect Unmixing for Brain Tumor Characterization using Multi-voxel MR Spectroscopic Imaging. 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), pp. 436-439. doi: 10.1109/ISBI.2016.7493301
Asad, M., Gentet, E., Basaru, R. R. & Slabaugh, G. G. (2015). Generating a 3d hand model from frontal color and range scans. In: 2015 IEEE International Conference on Image Processing (ICIP). International Conference on Image Processing, 27-09-2015 - 30-09-2015, Quebec City, Canada. doi: 10.1109/ICIP.2015.7351676
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
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.
Asad, M. & Slabaugh, G. G. (2014). Hand Orientation Regression Using Random Forest for Augmented Reality. In: DePaolis, L.T. & Mongelli, A. (Eds.), Augmented and Virtual Reality. AVR 2014. Lecture Notes in Computer Science, 8853. (pp. 159-174). Berlin, Germany: Springer Verlag. doi: 10.1007/978-3-319-13969-2_13
Asad, M. & Abhayaratne, C. (2013). Kinect depth stream pre-processing for hand gesture recognition. Paper presented at the 2013 IEEE International Conference on Image Processing, ICIP 2013, 15 September - 18 September 2013, Melbourne, Australia. doi: 10.1109/ICIP.2013.6738770