| Mammography breast cancer screening triage using deep learning: a UK retrospective study SE Hickman, NR Payne, RT Black, Y Huang, AN Priest, S Hudson, ... Radiology 309 (2), e231173, 2023 | 18 | 2023 |
| Accuracy of an artificial intelligence system for interval breast cancer detection at screening mammography M Nanaa, VO Gupta, SE Hickman, I Allajbeu, NR Payne, O Arponen, ... Radiology 312 (2), e232303, 2024 | 2 | 2024 |
| Introduction of automated breast ultrasound as an additional screening tool for dense breasts in the UK: a practical approach from the BRAID trial I Allajbeu, K Morris, M Nanaa, N Payne, K Charnley, PL Moyle, K Taylor, ... Clinical Radiology 79 (5), e641-e650, 2024 | 1 | 2024 |
| Deep learning-based breast cancer diagnosis in breast MRI: systematic review and meta-analysis KA Abdullah, S Marziali, M Nanaa, L Escudero Sánchez, NR Payne, ... European Radiology, 1-16, 2025 | | 2025 |
| Tumour growth rate and invasive interval cancer characteristics in a UK breast cancer screening population M Nanaa, R Manavaki, TJA van Nijnatten, N Stranz, S Carriero, ... European Radiology, 1-12, 2025 | | 2025 |
| Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-alone Readers and Combined with Human Readers SE Hickman, NR Payne, RT Black, Y Huang, AN Priest, S Hudson, ... Radiology 313 (2), e233147, 2024 | | 2024 |
| 23Na MRI: inter-reader reproducibility of normal fibroglandular sodium concentration measurements at 3 T O Arponen, MA McLean, M Nanaa, R Manavaki, GC Baxter, AB Gill, ... European Radiology Experimental 8 (1), 75, 2024 | | 2024 |
| The relationship of intracellular sodium fraction and pharmacokinetics in breast cancer JD Kaggie, O Arponen, MA McLean, M Nanaa, R Manavaki, GC Baxter, ... | | |
