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Rebecca Lee
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2020 – today
- 2024
- [j4]Macey L. Murray, Laura Sato, Jaspal Panesar, Sharon B. Love, Rebecca Lee, James R. Carpenter, Marion Mafham, Mahesh Kb Parmar, Heather Pinches, Matthew R. Sydes:
Demonstrating the data integrity of routinely collected healthcare systems data for clinical trials (DEDICaTe): A proof-of-concept study. Health Informatics J. 30(3) (2024) - 2023
- [j3]Oskar Wysocki, Jessica Katharine Davies, Markel Vigo, Anne Caroline Armstrong, Dónal Landers, Rebecca Lee, André Freitas:
Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making. Artif. Intell. 316: 103839 (2023) - 2022
- [i1]Oskar Wysocki, Jessica Katharine Davies, Markel Vigo, Anne Caroline Armstrong, Dónal Landers, Rebecca Lee, André Freitas:
Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making. CoRR abs/2204.05030 (2022) - 2021
- [j2]Carl Sabottke, Marc Breaux, Rebecca Lee, Adam Foreman, Bradley Spieler:
Analysis of Potential for User Errors in Mobile Deployment of Radiology Deep Learning for Cardiac Rhythm Device Detection. J. Digit. Imaging 34(3): 572-580 (2021)
2010 – 2019
- 2018
- [c1]Tony Lindsey, Rebecca Lee, Ronald Grisell, Saul Vega, Sena Veazey:
Automated Pneumothorax Diagnosis Using Deep Neural Networks. CIARP 2018: 723-731 - 2011
- [j1]Fan Cao, Kainat Khalid, Rebecca Lee, Christine Brennan, Yanhui Yang, Kuncheng Li, Donald J. Bolger, James R. Booth:
Development of brain networks involved in spoken word processing of Mandarin Chinese. NeuroImage 57(3): 750-759 (2011)
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last updated on 2024-10-09 20:28 CEST by the dblp team
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