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Seyed Amir Hossein Hosseini

2 accepted papers

2022

Zero-Shot Self-Supervised Learning for MRI Reconstruction

ICLR 2022poster

Deep learning (DL) has emerged as a powerful tool for accelerated MRI reconstruction, but often necessitates a database of fully-sampled measurements for training. Recent self-supervised and unsupervised learning approaches enable training without fully-sampled data. However, a database of undersamp…

2021

Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking

ICASSP 2021accepted

Physics-guided deep learning (PG-DL) via algorithm unrolling has received significant interest for improved image reconstruction, including MRI applications. These methods unroll an iterative optimization algorithm into a series of regularizer and data consistency units. The unrolled networks are ty…

Cited by 4SourceScholar