Wang, Zhengxin, Rowe, Daniel B, Li, Xinyi, and Brown, Andrew D. A fully Bayesian approach for comprehensive mapping of magnitude and phase brain activation in complex-valued fMRI data. Retrieved from https://par.nsf.gov/biblio/10521510. Magnetic Resonance Imaging 109.C Web. doi:10.1016/j.mri.2024.03.029.

Wang, Zhengxin, Rowe, Daniel B, Li, Xinyi, & Brown, Andrew D. A fully Bayesian approach for comprehensive mapping of magnitude and phase brain activation in complex-valued fMRI data. Magnetic Resonance Imaging, 109 (C). Retrieved from https://par.nsf.gov/biblio/10521510. https://doi.org/10.1016/j.mri.2024.03.029

Wang, Zhengxin, Rowe, Daniel B, Li, Xinyi, and Brown, Andrew D. "A fully Bayesian approach for comprehensive mapping of magnitude and phase brain activation in complex-valued fMRI data". Magnetic Resonance Imaging 109 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.mri.2024.03.029. https://par.nsf.gov/biblio/10521510.

@article{osti_10521510,
place = {Country unknown/Code not available}, title = {A fully Bayesian approach for comprehensive mapping of magnitude and phase brain activation in complex-valued fMRI data}, url = {https://par.nsf.gov/biblio/10521510}, DOI = {10.1016/j.mri.2024.03.029}, abstractNote = {}, journal = {Magnetic Resonance Imaging}, volume = {109}, number = {C}, publisher = {Elsevier}, author = {Wang, Zhengxin and Rowe, Daniel B and Li, Xinyi and Brown, Andrew D}, }