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Publications by Brown, Matt

In Journal (refereed)

1. M. Cutumisu, S. Ghoman, C. Lu, S. Patel, C. Garcia-Hidalgo, C. Fray, M. Brown, G. Schmölzer. "Healthcare Providers’ Performance, Mindset, and Attitudes Towards a Neonatal Resuscitation Computer-based Simulator". Journal of Medical Internet Research (JMIR) Serious Games, December 2020. view
2. R. Ghoreishiamiri, G. Little, M. Brown, R. Greiner. "A Simple Classification Framework for Predicting Alzheimer's Disease from Region-based Grey Matter Volume and APOE Genotype Status". Artificial Intelligence Research, 8(2), pp 15-23, December 2019. PDFview
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. view
4. 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. view
5. M. Gheiratmand, I. Rish, G. Cecchi, M. Brown, R. Greiner, P. Bashivan, A. Greenshaw, R. Ramasubbu, S. Dursun. "Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms". Nature Schizophrenia, 3, pp 22, May 2017. PDFview
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. PDFview
7. 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. view
8. 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. PDFview
9. 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. PDFview
10. 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. PDFview

In Conference (refereed)

11. C. Lee, S. Wang, M. Brown, A. Murtha, R. Greiner. "Segmenting Brain Tumors using Pseudo-Conditional Random Fields". Medical Image Computing and Computer-Assisted Intervention, pp 359-366, September 2008. PDFview
12. C. Lee, M. Brown, S. Wang, A. Murtha, R. Greiner. "Constrained Classification on Structured Data". National Conference on Artificial Intelligence (AAAI), July 2008. PDFview

In Workshop

13. M. Gheiratmand, I. Rish, G. Cecchi, M. Brown, R. Greiner, A. Greenshaw, S. Dursun. "Functional Network Patterns as Multivariate Predictors of Symptom Severity in Schizophrenia". 23nd Annual Meeting of the Organization for Human Brain Mapping, pp n/a, June 2017. view
14. 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. PDFview
15. A. Murtha, J. Levesque, M. Brown, M. Heydari, J. Sander, M. Jagersand, N. Leong, W. Roa, B. Abdulkarim, D. Fulton, M. Smerdely, R. Greiner. "Development of an image-centered database containing MRI and PET data, and examples of its application in the treatment of glioma patients". Canadian Association of Radiation Oncology, June 2007. view
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