58 citations · 127 across the 8 of their papers we have counts for
10 papers
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging
Ali Hashemi, Yijing Gao, Chang Cai +4
Several problems in neuroimaging and beyond require inference on the parameters of multi-task sparse hierarchical regression models. Examples include M/EEG inverse problems, neural…
Nonlocal Co-occurrence for Image Downscaling
Sanjay Ghosh, Arpan Garai
Image downscaling is one of the widely used operations in image processing and computer graphics. It was recently demonstrated in the literature that kernel-based convolutional fil…
Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI
Merry P. Mani, Hemant K. Aggarwal, Sanjay Ghosh +1
We propose a model-based deep learning architecture for the reconstruction of highly accelerated diffusion magnetic resonance imaging (MRI) that enables high resolution imaging. Th…
Linearized ADMM and Fast Nonlocal Denoising for Efficient Plug-and-Play Restoration
Unni V. S., Sanjay Ghosh, Kunal N. Chaudhury
In plug-and-play image restoration, the regularization is performed using powerful denoisers such as nonlocal means (NLM) or BM3D. This is done within the framework of alternating…
Optimized Fourier Bilateral Filtering
Sanjay Ghosh, Pravin Nair, Kunal N. Chaudhury
We consider the problem of approximating a truncated Gaussian kernel using Fourier (trigonometric) functions. The computation-intensive bilateral filter can be expressed using fast…
Artifact reduction for separable non-local means
Sanjay Ghosh, Kunal N. Chaudhury
It was recently demonstrated [J. Electron. Imaging, 25(2), 2016] that one can perform fast non-local means (NLM) denoising of one-dimensional signals using a method called lifting.…