6 citations · 21 across the 11 of their papers we have counts for
4 papers · 1 filter
An Optimal Control Approach for Inverse Problems with Deep Learnable Regularizers
Wanyu Bian
This paper introduces an optimal control framework to address the inverse problem using a learned regularizer, with applications in image reconstruction. We build upon the concept…
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning
Wanyu Bian
Magnetic resonance imaging (MRI) is renowned for its exceptional soft tissue contrast and high spatial resolution, making it a pivotal tool in medical imaging. The integration of d…
A Review of Electromagnetic Elimination Methods for low-field portable MRI scanner
Wanyu Bian, Panfeng Li, Mengyao Zheng +5
This paper analyzes conventional and deep learning methods for eliminating electromagnetic interference (EMI) in MRI systems. We compare traditional analytical and adaptive techniq…
Multi-task Magnetic Resonance Imaging Reconstruction using Meta-learning
Wanyu Bian, Albert Jang, Fang Liu
Using single-task deep learning methods to reconstruct Magnetic Resonance Imaging (MRI) data acquired with different imaging sequences is inherently challenging. The trained deep l…