Publications with keyword "FMRI"
| 1. | M. Yousefnezhad, A. Selvitella, D. Zhang. "Shared Space Transfer Learning for analyzing multi-site fMRI data". NIPS Workshop on Machine Learning and Games, December 2020.  |
| 2. | S. Kalmady, A. Paul, R. Greiner, R. Agrawal, A. Amaresha, V. Shivakumar, J. Narayanaswamy, A. Greenshaw, S. Dursun, G. Venkatasubramanian. "Extending Schizophrenia diagnostic model to predict Schizotypy in first degree relatives". Nature Schizophrenia, November 2020. |
| 3. | S. Kalmady, R. Greiner, R. Agrawal, V. Shivakumar, J. Narayanaswamy, M. Brown, A. Greenshaw, S. Dursun, G. Venkatasubramanian. "Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learning". Nature Schizophrenia, 5(1), January 2019. |
| 4. | R. Vega, R. Greiner. "Finding Effective Ways to (Machine) Learn fMRI-based Classifiers from Multi-Site Data". Machine Learning in Clinical Neuroimaging (MLCN), Springer, Cham, (ed: Stoyanov D. et al.), 11038, pp 32-39, October 2018.  |
| 5. | B. Sen, N. Borle, R. Greiner, M. Brown. "A General Prediction Model for the Detection of ADHD and Autism using Structural and Functional MRI". PLoS One, 13(4), pp 1-28, April 2018. |
| 6. | M. Gheiratmand, I. Rish, G. Cecchi, M. Brown, R. Greiner, P. Bashivan, P. Polosecki, S. Dursun. "Learning Discriminative Functional Network Features of Schizophrenia". SPIE Medical Imaging, pp 101371A, April 2017. |
| 7. | R. Vega. "The challenge of applying machine learning techniques to diagnose schizophrenia using multi-site fMRI data". MSc Thesis, University of Alberta, January 2017. |
| 8. | S. Ghiassian, P. Jin, M. Brown, R. Greiner. "Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Identify ADHD and Autism". PLoS One, 11(12), pp e0166934, November 2016. |
| 9. | R. Ramasubbu, M. Brown, F. Cortese, I. Gaxiola, A. Greenshaw, S. Dursun, B. Goodyear, R. Greiner. "Accuracy of Automated Classification of Major Depressive Disorder as a Function of Symptom Severity". NeuroImage: Clinical, 12, pp 320-331, July 2016. |
| 10. | S. Ghiassian, R. Greiner, M. Brown, P. Jin. "Learning to Classify Psychiatric Disorders based on fMR Images: Autism vs Healthy and ADHD vs Healthy". Proceedings of the Workshop on Machine Learning and Interpretation in Neuroimaging, pp n/a, December 2013. |
| 11. | G. Sidhu, N. Asgarian, R. Greiner, M. Brown. "Kernel Principal Component Analysis for dimensionality reduction in fMRI-based diagnosis of ADHD". Frontiers in Systems Neuroscience, (ed: Michael Milham), 6(74), October 2012. |
| 12. | M. Brown, G. Sidhu, R. Greiner, N. Asgarian, M. Bastani, P. Silverstone, A. Greenshaw, S. Dursun. "ADHD-200 Global Competition: Diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements ". Frontiers in Systems Neuroscience, (ed: Michael Milham), 6(10), pp n/a, September 2012. |
| 13. | G. Sidhu. "Dimensionality Reduction for fMRI Diagnostic Systems". MSc Thesis, University of Alberta, August 2012. |
