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A M Stanley

Showing results (1-10 of 19) with videos related to

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Acta Crystallographica. Section A, Foundations and Advances|January 5, 2023
Report of the Executive Committee for 2021A T Ashcroft, A M Stanley
Ebiomedicine|December 13, 2024
Where, why, and how is bias learned in medical image analysis models? A study of bias encoding within convolutional networks using synthetic dataEmma A M Stanley, Raissa Souza, Matthias Wilms, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 1, 2022
Fairness-related performance and explainability effects in deep learning models for brain image analysisEmma A M Stanley, Matthias Wilms, Pauline Mouches, et al.
Frontiers in Artificial Intelligence|October 27, 2025
Assessment of demographic bias in retinal age prediction machine learning modelsChristopher Nielsen, Emma A M Stanley, Matthias Wilms, et al.
NPJ Digital Medicine|December 22, 2025
Distinct visual biases affect humans and artificial intelligence in medical imaging diagnosesGraham A McLeod, Emma A M Stanley, Tom Rosenal, et al.
Human Brain Mapping|June 9, 2025
Brain Aging in Patients With Cardiovascular Disease From the UK BiobankElizabeth Mcavoy, Emma A M Stanley, Anthony J Winder, et al.
The British Journal of Clinical Psychology|May 1, 1985
The concurrent validity of the survey version of the Clifton Assessment Procedures for the Elderly (CAPE)F M McPherson, C V Gamsu, G Kiemle, et al.
Lasers in Surgery and Medicine|January 1, 1994
Light distribution of ocular endophotocoagulator probes and its surgical implicationsM M Whitacre, G T Timberlake, R A Stein, et al.
Journal of the American Medical Informatics Association : JAMIA|June 28, 2024
Towards objective and systematic evaluation of bias in artificial intelligence for medical imagingEmma A M Stanley, Raissa Souza, Anthony J Winder, et al.
Scientific Reports|February 19, 2025
Towards realistic simulation of disease progression in the visual cortex with CNNsJasmine A Moore, Chris Kang, Vibujithan Vigneshwaran, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Acta Crystallographica. Section A, Foundations and Advances|January 5, 2023
Report of the Executive Committee for 2021A T Ashcroft, A M Stanley
Ebiomedicine|December 13, 2024
Where, why, and how is bias learned in medical image analysis models? A study of bias encoding within convolutional networks using synthetic dataEmma A M Stanley, Raissa Souza, Matthias Wilms, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 1, 2022
Fairness-related performance and explainability effects in deep learning models for brain image analysisEmma A M Stanley, Matthias Wilms, Pauline Mouches, et al.
Frontiers in Artificial Intelligence|October 27, 2025
Assessment of demographic bias in retinal age prediction machine learning modelsChristopher Nielsen, Emma A M Stanley, Matthias Wilms, et al.
NPJ Digital Medicine|December 22, 2025
Distinct visual biases affect humans and artificial intelligence in medical imaging diagnosesGraham A McLeod, Emma A M Stanley, Tom Rosenal, et al.
Human Brain Mapping|June 9, 2025
Brain Aging in Patients With Cardiovascular Disease From the UK BiobankElizabeth Mcavoy, Emma A M Stanley, Anthony J Winder, et al.
The British Journal of Clinical Psychology|May 1, 1985
The concurrent validity of the survey version of the Clifton Assessment Procedures for the Elderly (CAPE)F M McPherson, C V Gamsu, G Kiemle, et al.
Lasers in Surgery and Medicine|January 1, 1994
Light distribution of ocular endophotocoagulator probes and its surgical implicationsM M Whitacre, G T Timberlake, R A Stein, et al.
Journal of the American Medical Informatics Association : JAMIA|June 28, 2024
Towards objective and systematic evaluation of bias in artificial intelligence for medical imagingEmma A M Stanley, Raissa Souza, Anthony J Winder, et al.
Scientific Reports|February 19, 2025
Towards realistic simulation of disease progression in the visual cortex with CNNsJasmine A Moore, Chris Kang, Vibujithan Vigneshwaran, et al.
Pageof 2