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Head Motion Analysis is an Objective Measure of Point-of-Care Ultrasound Image Acquisition Competency.

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Can Crowdsourced Annotations Improve AI-Based Congestion Scoring for Bedside Lung Ultrasound?, , , , , , , and . MICCAI (4), volume 15004 of Lecture Notes in Computer Science, page 580-590. Springer, (2024)Head Motion Analysis is an Objective Measure of Point-of-Care Ultrasound Image Acquisition Competency., , , , , , , , , and 2 other author(s). HICSS, page 3909-3914. ScholarSpace, (2024)Optimizing Real-Time Wellness Intervention Studies in Healthcare Shift Workers: Outcomes from a Prospective, Single-subject Design Study of a Digital Sleep Aid., , , , , , , and . HICSS, page 1-9. ScholarSpace, (2022)Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound., , , , , , , , , and 11 other author(s). IEEE J. Biomed. Health Informatics, 27 (9): 4352-4361 (September 2023)Expert-quality Dataset Labeling via Gamified Crowdsourcing on Point-of-Care Lung Ultrasound Data., , , , , , , , , and 2 other author(s). HICSS, page 3891-3897. ScholarSpace, (2024)Machine Learning Models for Point-of-care Ultrasound Education and Training: National Cost Savings and Expert Time Reduction., , , , , , , , , and 1 other author(s). HICSS, page 3915-3924. ScholarSpace, (2024)