"au:"Ashkan Ebadi"" — arXiv2 SearchShowing 1–9 of 9 results
/ Date/ Name
Jan 4, 2023COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound ImagesDec 6, 2022A Trustworthy Framework for Medical Image Analysis with Deep LearningJul 19, 2022Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest RadiographyMay 18, 2022COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound VideosDec 14, 2021Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray ClassificationsAug 5, 2021COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-care Ultrasound ImagingMay 4, 2021COVID-19 Detection from Chest X-ray Images using Imprinted Weights ApproachMar 18, 2021COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analyticsJul 22, 2020Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing