7 citations · 7 across the 3 of their papers we have counts for
3 papers
eess.IV2025
Deep Task-Based Beamforming and Channel Data Augmentations for Enhanced Ultrasound Imaging
Ariel Amar, Ahuva Grubstein, Eli Atar +5
This paper introduces a deep learning (DL)-based framework for task-based ultrasound (US) beamforming, aiming to enhance clinical outcomes by integrating specific clinical tasks di…
eess.IV2022★ 7 cited
Detecting Bone Lesions in X-Ray Under Diverse Acquisition Conditions
Tal Zimbalist, Ronnie Rosen, Keren Peri-Hanania +6
The diagnosis of primary bone tumors is challenging, as the initial complaints are often non-specific. Early detection of bone cancer is crucial for a favorable prognosis. Incident…
cs.CV2021
Learned super resolution ultrasound for improved breast lesion characterization
Or Bar-Shira, Ahuva Grubstein, Yael Rapson +5
Breast cancer is the most common malignancy in women. Mammographic findings such as microcalcifications and masses, as well as morphologic features of masses in sonographic scans,…