Bayesian reconstruction of R-fMRI from K-T undersampled data using a robust, subject-invariant, spatially-regularized dictionary prior. - Prachi H. Kulkarni; S. N. Merchant; Suyash P. Awate (ISBI, 2018)

A Bayesian Deep CNN Framework for Reconstructing k-t-Undersampled Resting-fMRI. - Karan Taneja; Prachi H. Kulkarni; S. N. Merchant; Suyash P. Awate (ICPR, 2020)

R-FMRI Reconstruction from K-T Undersampled Simultaneous-Multislice (SMS) MRI with Controlled Aliasing: Towards Higher Spatial Resolution. - Prachi H. Kulkarni; Kratika Gupta; S. N. Merchant; Suyash P. Awate (ISBI, 2020)

R-fMRI reconstruction from k-t undersampled data using a subject-invariant dictionary model and VB-EM with nested minorization. - Prachi H. Kulkarni; S. N. Merchant; Suyash P. Awate (Medical Image Anal., 2020)

Mixed-dictionary models and variational inference in task fMRI for shorter scans and better image quality. - Prachi H. Kulkarni; S. N. Merchant; Suyash P. Awate (Medical Image Anal., 2022)