Link to Google Scholar here; software toolboxes are on github here.

1. Miranda, M. F. A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject fMRI activation patterns. Under Review, 2024.

2. Shahosenni, Y,. Beaulac, C., Nathoo, F. S. and Miranda, M. F. Characterizing brain function in ADHD through a spatially-varying Bayesian model for the long-memory parameter in rs-fMRI. In preparation, 2024.

3. Miranda, M. F. and Morris, J. S. Novel Bayesian method for simultaneous detection of activation signatures and background connectivity for task fMRI data. Preprint available at https://arxiv.org/ abs/2109.00160. Under Review. 2024.

4. Beaulac, C., Wu, S., Gibson, E., Miranda, M. F., Cao, J., Rocha, L., Beg, M. F. and Nathoo, F. S.Neuroimaging Feature Extraction using a Neural Network Classifier for Imaging Genetics. BMC Bioinformatics, 24, 271 2023. https://doi.org/10.1186/s12859-023-05394-x

5. Shahosenni, Y and Miranda, M. F. Functional connectivity methods and their applications in fMRI data. Entropy, 2022, 24, 390. https://doi.org/10.3390/e24030390

6. Wei, Z., Yang, A., Rocha, L., Miranda, M. F. , Nathoo, F. A review of Bayesian hypothesis testing and its practical implementation. Entropy, 2022, 24, 161. https://doi.org/10.3390/e24020161

7. Rangel, M. L., Souza, L., Rodrigues, L. C., Oliveira, J. M., Miranda, M. F. ,Galves, A., Vargas, C. D. Predicting upcoming events occurring in the space surrounding the hand. Neural Plasticity, vol. , 2021, Article ID 6649135. https://doi.org/10.1155/2021/6649135.

8. Turner, D., Miranda, M. F. , Morris, J. S., Girkin, C., Downs, J. C. Stress response in intraocular pressure (IOP) in nonhuman primates using continuous IOP telemetry. Ophthalmology Glaucoma, 2019, Jul-Aug;2(4):210-214. DOI:10.1016/j.ogla.2019.03.010

9. Lee, W., Miranda, M. F., Veerabhadran, B., Rausch, P., Fazio, M., Downs, J. C. and Morris, J. S. Bayesian semiparametric functional mixed models for serially correlated functional data, with application to glaucoma data. VOL. 114, NO. 526, 495âĂŞ513: Applications and Case Studies. Journal of the American Statistical Association, 2018.

10. Miranda, M. F., Zhu, H. and Ibrahim, J. G. TPRM: Tensor partition regression models with applications in imaging biomarker detection. The Annals of Applied Statistics. Vol. 12, No. 3, pages 1422-1450, 2018. DOI:10.1214/17-AOAS1116

11. Fraiman, D., Miranda, M. F., Erthal, F., Buur, P.F., Elschot, M., Souza, L., Rombouts, S.A.R.B.,van Osch, M.J.P., Schimmelpenninck, C.A., Norris D.G., Malessy, M.J.A., Galves, A. and Vargas, C.D. Reduced functional connectivity within the primary motor cortex of patients with brachial plexus injury. NeuroImage: Clinical, Vol 12, pages 277-284, 2016. ISSN 2213-1582. DOI:10.1016/j.nicl.2016.07.008. Note: Shared first authorship.

12. Miranda, M. F., Zhu, H. and Ibrahim, J. G. Bayesian Spatial Transformation Models with Applications in Neuroimaging Data. Biometrics, Vol 69-4, pages 1074-1083, 2013. https://doi.org/10.1111/biom.12085