activity
20242026
most citedMBSS-T1: Model-Based Subject-Specific Self-Supervised Motion Correction for Robust Cardiac T1 Mapping

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

GraphSVR: q-Space--Aware Graph-Based Slice-to-Volume Registration for Diffusion MRI

Noga Kertes, Daphna Link Sourani, Alex M. Bronstein +1

Diffusion-weighted imaging (DWI) remains highly vulnerable to subject motion, particularly in time-efficient protocols and in motion-prone populations. While slice-to-volume regist…

cs.CV2026

CRIS: Cross-Plane Self-Supervised Isotropic Restoration for Anisotropic Volumetric Imaging Across Modalities

Adi Ahituv, Anat Ilivitzki, Moti Freiman

Anisotropic volumetric acquisitions are common in clinical MRI and volume electron microscopy (vEM), where sparse through-plane sampling creates thick slices or sections that degra…

cs.LG2026

Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI

Hadas Ben Atya, Nicole Abramenkov, Noa Mashiah +4

Estimating multi-component T2 relaxation distributions from Multi-Echo Spin Echo (MESE) MRI is a severely ill-posed inverse problem, traditionally solved using regularized non-nega…

eess.IV2025

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…

eess.IV2024★ 3 cited

MBSS-T1: Model-Based Subject-Specific Self-Supervised Motion Correction for Robust Cardiac T1 Mapping

Eyal Hanania, Adi Zehavi-Lenz, Ilya Volovik +3

Cardiac T1 mapping is a valuable quantitative MRI technique for diagnosing diffuse myocardial diseases. Traditional methods, relying on breath-hold sequences and cardiac triggering…