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eess.IV2025
Deep End-to-End Posterior ENergy (DEEPEN) for image recovery
Jyothi Rikhab Chand, Mathews Jacob
Current end-to-end (E2E) and plug-and-play (PnP) image reconstruction algorithms approximate the maximum a posteriori (MAP) estimate but cannot offer sampling from the posterior di…
cs.LG2025
MAP Image Recovery with Guarantees using Locally Convex Multi-Scale Energy (LC-MUSE) Model
Jyothi Rikhab Chand, Mathews Jacob
We propose a multi-scale deep energy model that is strongly convex in the local neighbourhood around the data manifold to represent its probability density, with application in inv…
eess.IV2025
Three-Dimensional Diffusion-Weighted Multi-Slab MRI With Slice Profile Compensation Using Deep Energy Model
Reza Ghorbani, Jyothi Rikhab Chand, Chu-Yu Lee +2
Three-dimensional (3D) multi-slab acquisition is a technique frequently employed in high-resolution diffusion-weighted MRI in order to achieve the best signal-to-noise ratio (SNR)…