Nicholas W Marshall

19PUBLICATIONS
16CO-AUTHORS
Stochastic analysis and modellingContext learningFormal methods for softwareElectronic device and system performance evaluation, testing and simulationSatisfiability and optimisation
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Publications (19)

|Sep 25, 2026
Comparison of Artificial Intelligence Detection and Short-Term Breast Cancer Risk Models within and beyond Their Intended Use in Mammography Screening.

|Jun 29, 2026
Illustration of transfer learning from breast cancer detection to risk prediction: adaptation to local data and local objectives.

|Jun 05, 2026
flEXPOSE: a flexible exposure parameter optimisation engine for x-ray projection imaging.

|Dec 29, 2025
In-depth look at the use of pixel variance and the noise power spectrum in digital mammography quality control.

Kristina Tri Wigati, Hilde Bosmans, Joke Binst

|Sep 03, 2025
Using Explainable AI to Characterize Features in the Mirai Mammographic Breast Cancer Risk Prediction Model.

Yao-Kuan Wang, Zan Klanecek, Tobias Wagner

|Apr 30, 2025
Impact of synthetic data on training a deep learning model for lesion detection and classification in contrast-enhanced mammography.

Astrid Van Camp, Henry C Woodruff, Lesley Cockmartin

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Frequent Collaborators

7 joint publications

Zan Klanecek

7 joint publications

Yao-Kuan Wang

6 joint publications

Hilde Bosmans

5 joint publications

Robert Jeraj