7 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 7 cited
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation
Samah Khawaled, Moti Freiman
The ability to reconstruct high-quality images from undersampled MRI data is vital in improving MRI temporal resolution and reducing acquisition times. Deep learning methods have b…
cs.CV2024
A self-attention model for robust rigid slice-to-volume registration of functional MRI
Samah Khawaled, Simon K. Warfield, Moti Freiman
Functional Magnetic Resonance Imaging (fMRI) is vital in neuroscience, enabling investigations into brain disorders, treatment monitoring, and brain function mapping. However, head…
eess.IV2022
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data
Samah Khawaled, Moti Freiman
Uncertainty quantification in deep-learning (DL) based image reconstruction models is critical for reliable clinical decision making based on the reconstructed images. We introduce…