Estimating uncertainty in radiation oncology dose prediction with dropout and bootstrap in U-Net models. - John A. Lee 001; Alyssa Vanginderdeuren; Margerie Huet-Dastarac; Ana Maria Barragán-Montero (ESANN, 2021)

Single-pass uncertainty estimation with layer ensembling for regression: application to proton therapy dose prediction for head and neck cancer. - Ana Maria Barragán-Montero; Robin Tilman; Margerie Huet-Dastarac; John A. Lee 001 (ESANN, 2023)

Can input reconstruction be used to directly estimate uncertainty of a regression U-Net model? - Application to proton therapy dose prediction for head and neck cancer patients. - Margerie Huet-Dastarac; Dan Nguyen; Steve B. Jiang; John A. Lee 001; Ana M. Barragan-Montero (CoRR, 2023)

PARROT - A Versatile Platform for AI-Driven Image Segmentation and Dose Prediction. - Wei Zhao; Margerie Huet-Dastarac; Sylvain Deffet; Edmond Sterpin; Ana M. Barragan-Montero; Sébastien Jodogne; John A. Lee 001 (MICAD, 2024)