Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations. - Ana M. Barragan-Montero; Dan Nguyen; Weiguo Lu; Mu-Han Lin; Xavier Geets; Edmond Sterpin; Steve B. Jiang (CoRR, 2018)

Application of deep neural networks for automatic planning in radiation oncology treatments. - Ana M. Barragan-Montero; Dan Nguyen; Weiguo Lu; Mu-Han Lin; Xavier Geets; Edmond Sterpin; Steve B. Jiang (ESANN, 2019)

Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model Adaptation to Different Treatment Planning Practices. - Roya Norouzi Kandalan; Dan Nguyen; Nima Hassan Rezaeian; Ana M. Barragan-Montero; Sebastiaan Breedveld; Kamesh Namuduri; Steve B. Jiang; Mu-Han Lin (CoRR, 2020)

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)

Domain adversarial networks and intensity-based data augmentation for male pelvic organ segmentation in cone beam CT. - Eliott Brion; Jean Léger; Ana M. Barragan-Montero; Nicolas Meert; John A. Lee 001; Benoît Macq (Comput. Biol. Medicine, 2021)

Improving proton dose calculation accuracy by using deep learning. - Chao Wu; Dan Nguyen; Yixun Xing; Ana M. Barragan-Montero; Jan Schuemann; Haijiao Shang; Yuehu Pu; Steve B. Jiang (Mach. Learn. Sci. Technol., 2021)

OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. - Aaron Babier; Rafid Mahmood; Binghao Zhang; Victor Gabriel Leandro Alves; Ana Maria Barragán-Montero; Joel Beaudry; Carlos E. Cardenas S.; Yankui Chang; Zijie Chen; Jaehee Chun; Kelly Diaz; Harold David Eraso; et al. (CoRR, 2022)

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)

SDE U-Net: Disentangling Aleatoric and Epistemic Uncertainties in Medical Image Segmentation. - Chuxin Zhang; Ana Maria Barragán-Montero; John A. Lee 001 (ESANN, 2024)

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)