Nicholas W Marshall

18PUBLICATIONS
15CO-AUTHORS
Context learningFormal methods for softwareElectronic device and system performance evaluation, testing and simulationSatisfiability and optimisationDeep learning
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Publications (18)

|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

|Apr 07, 2025
Sensitivity of a deep-learning-based breast cancer risk prediction model.

Zan Klanecek, Yao-Kuan Wang, Tobias Wagner

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Frequent Collaborators

6 joint publications

Zan Klanecek

6 joint publications

Yao-Kuan Wang

5 joint publications

Robert Jeraj

5 joint publications

Hilde Bosmans