5 papers
Fully 3D Unrolled Magnetic Resonance Fingerprinting Reconstruction via Staged Pretraining and Implicit Gridding
Yonatan Urman, Mark Nishimura, Daniel Abraham +2
Magnetic Resonance Fingerprinting (MRF) enables fast quantitative imaging, yet reconstructing high-resolution 3D data remains computationally demanding. Non-Cartesian reconstructio…
Accelerating MRI with Longitudinally-informed Latent Posterior Sampling
Yonatan Urman, Zachary Shah, Ashwin Kumar +2
Purpose: To accelerate MRI acquisition by incorporating the previous scans of a subject during reconstruction. Although longitudinal imaging constitutes much of clinical MRI, lever…
Efficient Belief Propagation List Ordered Statistics Decoding of Polar Codes
Yonatan Urman, Guy Mogilevsky, David Burshtein
New algorithms for efficient decoding of polar codes (which may be CRC-augmented), transmitted over either a binary erasure channel (BEC) or an additive white Gaussian noise channe…
Efficient Maximum Likelihood Decoding of Polar Codes Over the Binary Erasure Channel
Yonatan Urman, David Burshtein
A new algorithm for efficient exact maximum likelihood decoding of polar codes (which may be CRC augmented), transmitted over the binary erasure channel, is presented. The algorith…
Feedback Channel Communication with Low Precision Arithmetic
Yonatan Urman, David Burshtein
The problem of communicating over an additive white Gaussian noise channel with feedback, using low precision arithmetic, is considered. The Schalkwijk-Kailath (SK) scheme is known…