Fiona J Gilbert

20PUBLICATIONS
108CO-AUTHORS
Deep learningCancer diagnosisSemi- and unsupervised learningNew Zealand literature (excl. Māori literature)Predictive and prognostic markers
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Publications (20)

|Oct 28, 2025
Evaluation of a Mammography-based Deep Learning Model for Breast Cancer Risk Prediction in a Triennial Screening Program.

Joshua W D Rothwell, Priya Rogers, Nicholas R Payne

|Apr 03, 2025
Improving the diagnostic performance of contrast-enhanced mammography through lesion conspicuity and enhancement quantification.

Iris Allajbeu, Muzna Nanaa, Roido Manavaki

|Feb 06, 2025
Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging.

Oliver Lester Saldanha, Jiefu Zhu, Gustav Müller-Franzes

|Feb 05, 2025
Deep learning-based breast cancer diagnosis in breast MRI: systematic review and meta-analysis.

Kamarul Amin Abdullah, Sara Marziali, Muzna Nanaa

|Jan 21, 2025
Tumour growth rate and invasive interval cancer characteristics in a UK breast cancer screening population.

Muzna Nanaa, Roido Manavaki, Thiemo J A van Nijnatten

|Nov 19, 2024
Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-alone Readers and Combined with Human Readers.

Sarah E Hickman, Nicholas R Payne, Richard T Black

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Frequent Collaborators

6 joint publications

Andrew Priest

5 joint publications

Sarah E Hickman

4 joint publications

Nicholas R Payne

3 joint publications

Muzna Nanaa