6 papers · 1 filter
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…
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…
T1-PILOT: Optimized Trajectories for T1 Mapping Acceleration
Tamir Shor, Moti Freiman, Chaim Baskin +1
Cardiac T1 mapping provides critical quantitative insights into myocardial tissue composition, enabling the assessment of pathologies such as fibrosis, inflammation, and edema. How…
TEAM PILOT -- Learned Feasible Extendable Set of Dynamic MRI Acquisition Trajectories
Tamir Shor, Chaim Baskin, Alex Bronstein
Dynamic Magnetic Resonance Imaging (MRI) is a crucial non-invasive method used to capture the movement of internal organs and tissues, making it a key tool for medical diagnosis. H…
Leveraging Latents for Efficient Thermography Classification and Segmentation
Tamir Shor, Chaim Baskin, Alex Bronstein
Breast cancer is a prominent health concern worldwide, currently being the secondmost common and second-deadliest type of cancer in women. While current breast cancer diagnosis mai…
Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRI
Tamir Shor, Tomer Weiss, Dor Noti +1
Dynamic Magnetic Resonance Imaging (MRI) is known to be a powerful and reliable technique for the dynamic imaging of internal organs and tissues, making it a leading diagnostic too…