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Steven Squires

Showing results (1-10 of 17) with videos related to

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Neural Computation|June 1, 2017
Rank Selection in Nonnegative Matrix Factorization using Minimum Description LengthSteven Squires, Adam Prügel-Bennett, Mahesan Niranjan
Bioinformatics Advances|July 18, 2025
Calculating genetic risk scores directly from summary statistics with an application to type 1 diabetesSteven Squires, Michael N Weedon, Richard A Oram
Biomedical Physics & Engineering Express|February 28, 2025
Exploring the application of deep learning methods for polygenic risk score estimationSteven Squires, Michael N Weedon, Richard A Oram
Medrxiv : the Preprint Server for Health Sciences|January 3, 2024
Exploring the application of deep learning methods for polygenic risk score estimationSteven Squires, Michael N Weedon, Richard A Oram
Journal of Medical Imaging (Bellingham, Wash.)|April 10, 2023
Automatic assessment of mammographic density using a deep transfer learning methodSteven Squires, Elaine Harkness, Dafydd Gareth Evans, et al.
Biomedical Physics & Engineering Express|April 6, 2023
The effect of variable labels on deep learning models trained to predict breast densitySteven 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 densitySteven Squires, Michelle Harvie, Anthony Howell, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 8, 2024
Capability and reliability of deep learning models to make density predictions on low-dose mammogramsSteven Squires, Alistair Mackenzie, Dafydd Gareth Evans, et al.
Biomedical Physics & Engineering Express|January 19, 2026
Model uncertainty estimates for deep learning mammographic density prediction using ordinal and classification approachesSteven Squires, Grey Kuling, D Gareth Evans, et al.
The British Journal of Radiology|April 28, 2026
Deep learning models to predict mammographic density jointly on standard dose and low dose imagesSteven Squires, Alistair Mackenzie, D Gareth Evans, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Neural Computation|June 1, 2017
Rank Selection in Nonnegative Matrix Factorization using Minimum Description LengthSteven Squires, Adam Prügel-Bennett, Mahesan Niranjan
Bioinformatics Advances|July 18, 2025
Calculating genetic risk scores directly from summary statistics with an application to type 1 diabetesSteven Squires, Michael N Weedon, Richard A Oram
Biomedical Physics & Engineering Express|February 28, 2025
Exploring the application of deep learning methods for polygenic risk score estimationSteven Squires, Michael N Weedon, Richard A Oram
Medrxiv : the Preprint Server for Health Sciences|January 3, 2024
Exploring the application of deep learning methods for polygenic risk score estimationSteven Squires, Michael N Weedon, Richard A Oram
Journal of Medical Imaging (Bellingham, Wash.)|April 10, 2023
Automatic assessment of mammographic density using a deep transfer learning methodSteven Squires, Elaine Harkness, Dafydd Gareth Evans, et al.
Biomedical Physics & Engineering Express|April 6, 2023
The effect of variable labels on deep learning models trained to predict breast densitySteven 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 densitySteven Squires, Michelle Harvie, Anthony Howell, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 8, 2024
Capability and reliability of deep learning models to make density predictions on low-dose mammogramsSteven Squires, Alistair Mackenzie, Dafydd Gareth Evans, et al.
Biomedical Physics & Engineering Express|January 19, 2026
Model uncertainty estimates for deep learning mammographic density prediction using ordinal and classification approachesSteven Squires, Grey Kuling, D Gareth Evans, et al.
The British Journal of Radiology|April 28, 2026
Deep learning models to predict mammographic density jointly on standard dose and low dose imagesSteven Squires, Alistair Mackenzie, D Gareth Evans, et al.
Pageof 2