1 citations · 1 across the 3 of their papers we have counts for
3 papers
Incorporation of Eye-Tracking and Gaze Feedback to Characterize and Improve Radiologist Search Patterns of Chest X-rays: A Randomized Controlled Clinical Trial
Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Stanford Martinez +6
Diagnostic errors in radiology often occur due to incomplete visual assessments by radiologists, despite their knowledge of predicting disease classes. This insufficiency is possib…
Discrimination of Radiologists Utilizing Eye-Tracking Technology and Machine Learning: A Case Study
Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui +7
Perception-related errors comprise most diagnostic mistakes in radiology. To mitigate this problem, radiologists employ personalized and high-dimensional visual search strategies,…
Machine learning tools to improve nonlinear modeling parameters of RC columns
Hamid Khodadadi Koodiani, Elahe Jafari, Arsalan Majlesi +3
Modeling parameters are essential to the fidelity of nonlinear models of concrete structures subjected to earthquake ground motions, especially when simulating seismic events stron…