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Academic Radiology
|
November 9, 2004
Computer-aided detection for screening mammography
Susan M Astley
Journal of Medical Imaging (Bellingham, Wash.)
|
January 7, 2020
Is there a safety-net effect with computer-aided detection?
Ethan Du-Crow, Susan M Astley, Johan Hulleman
Best Practice & Research. Clinical Obstetrics & Gynaecology
|
December 19, 2019
Risk-based breast cancer screening strategies in women
Elaine F Harkness, Susan M Astley, D Gareth Evans
Cureus
|
March 16, 2026
Can I Do Better Than AI: A Comparative Analysis of a Medical Student Essay Created With and Without Generative AI
Nabihah Hussaini, Susan M Astley, Adam Perrett, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
April 10, 2023
Automatic assessment of mammographic density using a deep transfer learning method
Steven Squires, Elaine Harkness, Dafydd Gareth Evans, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
March 25, 2020
Special Section Guest Editorial: Evaluation Methodologies for Clinical AI
Susan M Astley, Weijie Chen, Kyle J Myers, et al.
Biomedical Physics & Engineering Express
|
April 6, 2023
The effect of variable labels on deep learning models trained to predict breast density
Steven Squires, Elaine F Harkness, D Gareth Evans, et al.
Biomedical Physics & Engineering Express
|
September 3, 2025
Mammographic density assessed using deep learning in women at high risk of developing breast cancer: the effect of weight change on density
Steven Squires, Michelle Harvie, Anthony Howell, et al.
IEEE Transactions on Medical Imaging
|
September 21, 2004
Linear structures in mammographic images: detection and classification
Reyer Zwiggelaar, Susan M Astley, Caroline R M Boggis, et al.
The British Journal of Radiology
|
April 28, 2026
Deep learning models to predict mammographic density jointly on standard dose and low dose images
Steven Squires, Alistair Mackenzie, D Gareth Evans, et al.
Page
of 5
Search research articles
Search
Showing results (1-10 of 44) with videos related to
Sort By:
Page
of 5
Academic Radiology
|
November 9, 2004
Computer-aided detection for screening mammography
Susan M Astley
Journal of Medical Imaging (Bellingham, Wash.)
|
January 7, 2020
Is there a safety-net effect with computer-aided detection?
Ethan Du-Crow, Susan M Astley, Johan Hulleman
Best Practice & Research. Clinical Obstetrics & Gynaecology
|
December 19, 2019
Risk-based breast cancer screening strategies in women
Elaine F Harkness, Susan M Astley, D Gareth Evans
Cureus
|
March 16, 2026
Can I Do Better Than AI: A Comparative Analysis of a Medical Student Essay Created With and Without Generative AI
Nabihah Hussaini, Susan M Astley, Adam Perrett, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
April 10, 2023
Automatic assessment of mammographic density using a deep transfer learning method
Steven Squires, Elaine Harkness, Dafydd Gareth Evans, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
March 25, 2020
Special Section Guest Editorial: Evaluation Methodologies for Clinical AI
Susan M Astley, Weijie Chen, Kyle J Myers, et al.
Biomedical Physics & Engineering Express
|
April 6, 2023
The effect of variable labels on deep learning models trained to predict breast density
Steven Squires, Elaine F Harkness, D Gareth Evans, et al.
Biomedical Physics & Engineering Express
|
September 3, 2025
Mammographic density assessed using deep learning in women at high risk of developing breast cancer: the effect of weight change on density
Steven Squires, Michelle Harvie, Anthony Howell, et al.
IEEE Transactions on Medical Imaging
|
September 21, 2004
Linear structures in mammographic images: detection and classification
Reyer Zwiggelaar, Susan M Astley, Caroline R M Boggis, et al.
The British Journal of Radiology
|
April 28, 2026
Deep learning models to predict mammographic density jointly on standard dose and low dose images
Steven Squires, Alistair Mackenzie, D Gareth Evans, et al.
Page
of 5