Phenotypic Integrated Framework for Classification of ADHD Using fMRI. - Atif Riaz; Eduardo Alonso; Greg G. Slabaugh (ICIAR, 2016)

FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI. - Atif Riaz; Muhammad Asad 001; S. M. Masudur Rahman Al-Arif; Eduardo Alonso; Danai Dima; Philip Corr; Greg G. Slabaugh (CNI@MICCAI, 2017)

Framework for detection and localization of coronary non-calcified plaques in cardiac CTA using mean radial profiles. - Muhammad Moazzam Jawaid; Atif Riaz; Ronak Rajani; Constantino Carlos Reyes-Aldasoro; Gregory G. Slabaugh (Comput. Biol. Medicine, 2017)

Deep fMRI: AN end-to-end deep network for classification of fMRI data. - Atif Riaz; Muhammad Asad 001; S. M. Masudur Rahman Al-Arif; Eduardo Alonso; Danai Dima; Philip Corr; Greg G. Slabaugh (ISBI, 2018)

Fusion of fMRI and non-imaging data for ADHD classification. - Atif Riaz; Muhammad Asad 001; Eduardo Alonso; Gregory G. Slabaugh (Comput. Medical Imaging Graph., 2018)

Efficient method for variance-based sensitivity analysis. - Xin Chen 045; Arturo Molina-Cristobal; Marin D. Guenov; Atif Riaz (Reliab. Eng. Syst. Saf., 2019)

Computational framework for interactive architecting of complex systems. - Marin D. Guenov; Atif Riaz; Yogesh H. Bile; Arturo Molina-Cristobal; Albert S. J. van Heerden (Syst. Eng., 2020)

Machine learning for classification of ADHD. - Atif Riaz (2020)

DTCEncoder: A Swiss Army Knife Architecture for DTC Exploration, Prediction, Search and Model Interpretation. - Abdul Basit Hafeez; Eduardo Alonso; Atif Riaz (ICMLA, 2022)

DTC-TranGru: Improving the performance of the next-DTC Prediction Model with Transformer and GRU. - Abdul Basit Hafeez; Eduardo Alonso; Atif Riaz (SAC, 2024)