4 papers
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…
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,…
Point of Care Image Analysis for COVID-19
Daniel Yaron, Daphna Keidar, Elisha Goldstein +22
Early detection of COVID-19 is key in containing the pandemic. Disease detection and evaluation based on imaging is fast and cheap and therefore plays an important role in COVID-19…
COVID-19 Classification of X-ray Images Using Deep Neural Networks
Elisha Goldstein, Daphna Keidar, Daniel Yaron +24
In the midst of the coronavirus disease 2019 (COVID-19) outbreak, chest X-ray (CXR) imaging is playing an important role in the diagnosis and monitoring of patients with COVID-19.…