Fast image recovery using plug-and-play multi-scale energy (MuSE) framework. - Jyothi Rikhab Chand; Mathews Jacob (ACSSC, 2023)

Memory-Efficient Deep End-to-End Posterior Network (Deepen) for Inverse Problems. - Jyothi Rikhab Chand; Mathews Jacob (ISBI, 2024)

Multi-Scale Energy (MuSE) Framework for Inverse Problems in Imaging. - Jyothi Rikhab Chand; Mathews Jacob (IEEE Trans. Computational Imaging, 2024)

Local Monotone Operator Learning Using Non-Monotone Operators: MnM-MOL. - Maneesh John; Jyothi Rikhab Chand; Mathews Jacob (IEEE Trans. Computational Imaging, 2024)

MAP Image Recovery with Guarantees using Locally Convex Multi-Scale Energy (LC-MUSE) Model. - Jyothi Rikhab Chand; Mathews Jacob (ICASSP, 2025)

Accelerating Quantitative MRI Using Subspace Multiscale Energy Model (SS-MuSE). - Yan Chen; Jyothi Rikhab Chand; Steve R. Kecskemeti; James H. Holmes; Mathews Jacob (ISBI, 2025)

Three-Dimensional Diffusion-Weighted Multi-Slab MRI with Slice Profile Compensation Using Deep Energy Model. - Reza Ghorbani; Jyothi Rikhab Chand; Chu-Yu Lee; Mathews Jacob; Merry Mani (ISBI, 2025)

Fast Multi-Contrast MRI Using Joint Multiscale Energy Model. - Nima Yaghoobi; Jyothi Rikhab Chand; Yan Chen; Steve R. Kecskemeti; James H. Holmes; Mathews Jacob (ISBI, 2025)

Deep End-to-End Posterior ENergy (DEEPEN) for image recovery. - Jyothi Rikhab Chand; Mathews Jacob (CoRR, 2025)