3 papers
eess.IV2026
Awaken, Then Scale: Tiny Adaptation for MRI Reconstruction
Mohammed Wattad, Tamir Shor, Alexander M. Bronstein
Dormant Awakening (DA) specializes a magnetic resonance imaging (MRI) reconstruction model by fitting a small set of zero weights to one labeled slice. Across fourteen U-shaped con…
eess.IV2026
Beyond Sparsity: Weight Location and Network Context in Pruned MRI Reconstruction
Mohammed Wattad, Tamir Shor, Alexander M. Bronstein
Pruning reduces the number of weights in magnetic resonance imaging (MRI) reconstruction networks. Equal sparsity, however, can retain weights with different computational roles an…
cs.CV2025
On The Role of K-Space Acquisition in MRI Reconstruction Domain-Generalization
Mohammed Wattad, Tamir Shor, Alex Bronstein
Recent work has established learned k-space acquisition patterns as a promising direction for improving reconstruction quality in accelerated Magnetic Resonance Imaging (MRI). Desp…