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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.IV2020
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…
eess.IV2020
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.…