Cecile A. Wolfs
Dr. Tanslaan 12, Maastricht 6229 ET
Maastricht, LI 6202AZ, Netherlands
Maastricht, LI 6202AZ, Netherlands
Last Updated: 09/26/2026
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Found 21 publications
Maximizing impact of explainable artificial intelligence in radiotherapy: a critical review.
Journal: Physics in medicine and biology
Published: November 28, 2025
Toward a human-centric co-design methodology for AI detection of differences between planned and delivered dose in radiotherapy.
Journal: Journal of applied clinical medical physics
Published: September 20, 2024
Towards a fully automatic workflow for investigating the dynamics of lung cancer cachexia during radiotherapy using cone beam computed tomography.
Journal: Physics in medicine and biology
Published: July 22, 2024
Turning the attention to time-resolved EPID-images: treatment error classification with transformer multiple instance learning.
Journal: Physics in medicine and biology
Published: April 15, 2024
Targeted nutritional intervention attenuates experimental lung cancer cachexia.
Journal: Journal of cachexia, sarcopenia and muscle
Published: August 25, 2023
A 3D transfer learning approach for identifying multiple simultaneous errors during radiotherapy.
Journal: Physics in medicine and biology
Published: May 23, 2023
Shoot-through proton FLASH irradiation lowers linear energy transfer in organs at risk for neurological tumors and is robust against density variations.
Journal: Physics in medicine and biology
Published: April 17, 2023
A deep-learning assisted bioluminescence tomography method to enable radiation targeting in rat glioblastoma.
Journal: Physics in medicine and biology
Published: March 09, 2023
Automatic quality assurance of radiotherapy treatment plans using Bayesian networks: A multi-institutional study.
Journal: Frontiers in oncology
Published: November 16, 2022
What is the optimal input information for deep learning-based pre-treatment error identification in radiotherapy?
Journal: Physics and imaging in radiation oncology
Published: June 21, 2022
A novel multichannel deep learning model for fast denoising of Monte Carlo dose calculations: preclinical applications.
Journal: Physics in medicine and biology
Published: March 29, 2022
A deep learning and Monte Carlo based framework for bioluminescence imaging center of mass-guided glioblastoma targeting.
Journal: Physics in medicine and biology
Published: September 30, 2021
Last Updated: 09/26/2026