Machine learning based prediction of antibiotic sensitivity in patients with critical illness D Ghosh, S Sharma, E Hasan, S Ashraf, V Singh, D Tewari, S Singh, ... medRxiv, 19007153, 2019 | 8 | 2019 |
Improving Medical Image Decision‐Making by Leveraging Metacognitive Processes and Representational Similarity E Hasan, Q Eichbaum, AC Seegmiller, C Stratton, JS Trueblood Topics in Cognitive Science 14 (2), 400-413, 2022 | 7 | 2022 |
Harnessing the wisdom of the confident crowd in medical image decision-making. E Hasan, Q Eichbaum, AC Seegmiller, C Stratton, JS Trueblood Decision, 2023 | 6 | 2023 |
A registered report on presentation factors that influence the attraction effect E Hasan, Y Liu, N Owens, J Trueblood PsyArXiv, 2023 | 1 | 2023 |
Representational smoothing to improve medical image decision making E Hasan, J Trueblood Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022 | 1 | 2022 |
Boosting wisdom of the crowd for medical image annotation using training performance and task features E Hasan, E Duhaime, JS Trueblood Cognitive Research: Principles and Implications 9 (1), 31, 2024 | | 2024 |
The Role of Salience in Multialternative Multiattribute Choice E Hasan, J Trueblood OSF, 2024 | | 2024 |
One shot intervention reduces online engagement with distorted content. E Hasan, G Epping, L Lorenzo-Luaces, J Bollen, J Trueblood OSF, 2024 | | 2024 |
The Wisdom of the Confident Crowd in Medical Image Decision-making E Hasan, J Trueblood | | 2022 |
Representational Denoising to Improve Medical Image Decision Making E Hasan, J Trueblood, Q Eichbaum, A Seegmiller, C Stratton NeurIPS Workshop for Human and Machine Decisions, 2021 | | 2021 |