Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Medical Physics|July 12, 2024
Can input reconstruction be used to directly estimate uncertainty of a dose prediction U-Net model?Margerie Huet-Dastarac, Dan Nguyen, Eleonore Longton, et al.
Journal of Medical Internet Research|June 15, 2026
An Evaluation of Pretrained Generative Models for Augmenting Small Health Data: Comparative Modeling StudyMargerie Huet-Dastarac, Fida K Dankar, Dan Liu, et al.
Medical Physics|April 8, 2023
Machine learning-based automatic proton therapy planning: Impact of post-processing and dose-mimicking in plan robustnessElena Borderias-Villarroel, Margerie Huet Dastarac, Ana María Barragán-Montero, et al.
Medical Physics|May 4, 2023
Patient selection for proton therapy using Normal Tissue Complication Probability with deep learning dose prediction for oropharyngeal cancerMargerie Huet-Dastarac, Steven Michiels, Sara Teruel Rivas, et al.
Physics and Imaging in Radiation Oncology|February 26, 2025
Towards faster plan adaptation for proton arc therapy using initial treatment plan informationBenjamin Roberfroid, Margerie Huet-Dastarac, Elena Borderías-Villarroel, et al.
NPJ Digital Medicine|June 1, 2026
AI for predicting exacerbations in KIDs with asthma (AIRE-KIDS)Hui-Lee Ooi, Nicholas Mitsakakis, Margerie Huet Dastarac, et al.
Physics in Medicine and Biology|April 14, 2022
Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependencyAna Barragán-Montero, Adrien Bibal, Margerie Huet Dastarac, et al.
Physics and Imaging in Radiation Oncology|March 20, 2026
AID-RT: Standardising Artificial Intelligence Documentation in RadioTherapy with a domain-specific model cardAna M Barragán-Montero, Margerie Huet-Dastarac, Silvia M Herranz-Hernández, et al.
Pageof 1