Jyothi Rikhab Chand

According to our database, Jyothi Rikhab Chand authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Deep End-to-End Posterior ENergy (DEEPEN) for image recovery.

Jyothi Rikhab Chand, Mathews Jacob

CoRR, March, 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

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Accelerating Quantitative MRI Using Subspace Multiscale Energy Model (SS-MuSE).

Yan Chen, Jyothi Rikhab Chand, Steve R. Kecskemeti, James H. Holmes, Mathews Jacob

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

MAP Image Recovery with Guarantees using Locally Convex Multi-Scale Energy (LC-MUSE) Model.

Jyothi Rikhab Chand, Mathews Jacob

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Local Monotone Operator Learning Using Non-Monotone Operators: MnM-MOL.

Maneesh John, Jyothi Rikhab Chand, Mathews Jacob

IEEE Trans. Computational Imaging, 2024

Multi-Scale Energy (MuSE) Framework for Inverse Problems in Imaging.

Jyothi Rikhab Chand, Mathews Jacob

IEEE Trans. Computational Imaging, 2024

Memory-Efficient Deep End-to-End Posterior Network (Deepen) for Inverse Problems.

Jyothi Rikhab Chand, Mathews Jacob

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Fast image recovery using plug-and-play multi-scale energy (MuSE) framework.

Jyothi Rikhab Chand, Mathews Jacob

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023