Items where Author is "Riaz, A."
Article
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,
108506.
doi: 10.1016/j.jneumeth.2019.108506
Fonseca, J. ORCID: 0000-0002-7654-6005, Riaz, A., Bernal-Sanchez, J. , Barreto, D., McDougall, J., Miranda-Manzanares, M., Marinelli, A. & Dimitriadi, V. (2019).
Particle–scale interactions and energy dissipation mechanisms in sand–rubber mixtures.
Géotechnique Letters,
doi: 10.1680/jgele.18.00221
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, doi: 10.1016/j.compmedimag.2017.10.002
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
Jawaid, M. M., Riaz, A., Rajani, R. , Reyes-Aldasoro, C. C. & Slabaugh, G. G. (2017). Framework for Detection and Localization of Coronary Non-Calcified Plaques in Cardiac CTA using Mean Radial Profiles. Computers in Biology and Medicine, 89, pp. 84-95. doi: 10.1016/j.compbiomed.2017.07.021
Conference or Workshop Item
Haffez, A. B., Alonso, E. ORCID: 0000-0002-3306-695X & Riaz, A. (2023).
DTC-TranGru: Improving the performance of the next-DTC Prediction Model with Transformer and GRU.
Paper presented at the The 39th ACM/SIGAPP Symposium on Applied Computing (SAC 2024), 8-12 Apr 2024, Avila, Spain.
Hafeez, A. B., Alonso, E. ORCID: 0000-0002-3306-695X & Riaz, A. (2023).
DTCEncoder: A Swiss Army Knife Architecture for DTC Exploration, Prediction, Search and Model Interpretation.
Paper presented at the 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 12-14 Dec 2022, Nassau, Bahamas.
doi: 10.1109/ICMLA55696.2022.00085
Fonseca, J. ORCID: 0000-0002-7654-6005, Riaz, A. & Barreto, D. (2019).
X-ray tomography of sand-rubber mixtures.
Paper presented at the International Conference on Tomography of Materials and Structures Australia, 22-26 Jul 2019, Cairns, Australia.
Riaz, A., Alonso, E. & Slabaugh, G. G. (2016). Phenotypic Integrated Framework for Classification of ADHD using fMRI. In: Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science, 9730. (pp. 217-225). Cham: Springer. ISBN 978-3-319-41500-0