2 papers
cs.CV2025
Training-Free Adversarial Robustness in Computational MRI
Mahdi Saberi, Chi Zhang, Mehmet Akçakaya
Deep learning (DL) methods have become the state-of-the-art for reconstructing sub-sampled magnetic resonance imaging (MRI) data. However, studies have shown that these methods are…
eess.IV2023
Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI
Hongyi Gu, Chi Zhang, Zidan Yu +3
Functional MRI (fMRI) is an important tool for non-invasive studies of brain function. Over the past decade, multi-echo fMRI methods that sample multiple echo times has become popu…