activity
20142018
most citedCompressed sensing for longitudinal MRI: An adaptive-weighted approach

84 citations · 302 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2018★ 80 cited

Coupled Dictionary Learning for Multi-contrast MRI Reconstruction

Pingfan Song, Lior Weizman, Joao F. C. Mota +2

Medical imaging tasks often involve multiple contrasts, such as T1- and T2-weighted magnetic resonance imaging (MRI) data. These contrasts capture information associated with the s…

physics.med-ph2017★ 13 cited

PEAR: PEriodic And fixed Rank separation for fast fMRI

Lior Weizman, Karla L. Miller, Mark Chiew +1

In functional MRI (fMRI), faster acquisition via undersampling of data can improve the spatial-temporal resolution trade-off and increase statistical robustness through increased d…

physics.med-ph2017★ 79 cited

Low Rank Magnetic Resonance Fingerprinting

Gal Mazor, Lior Weizman, Assaf Tal +1

Purpose: Magnetic Resonance Fingerprinting (MRF) is a relatively new approach that provides quantitative MRI measures using randomized acquisition. Extraction of physical quantitat…

physics.med-ph2015★ 46 cited

Reference-Based MRI

Lior Weizman, Yonina C. Eldar, Dafna Ben-Basaht

Purpose: In many clinical MRI scenarios, existing imaging information can be used to significantly shorten acquisition time or to improve Signal to Noise Ratio (SNR). In this paper…

physics.med-ph2014★ 84 cited

Compressed sensing for longitudinal MRI: An adaptive-weighted approach

Lior Weizman, Yonina C. Eldar, Dafna Ben Bashat

Purpose: Repeated brain MRI scans are performed in many clinical scenarios, such as follow up of patients with tumors and therapy response assessment. In this paper, the authors sh…