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ORCIDAna M. Barragan-Montero
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Journal Articles
- 2021
[j2]Eliott Brion, Jean Léger, Ana M. Barragan-Montero
, Nicolas Meert, John A. Lee, Benoît Macq:
Domain adversarial networks and intensity-based data augmentation for male pelvic organ segmentation in cone beam CT. Comput. Biol. Medicine 131: 104269 (2021)- [j1]Chao Wu, Dan Nguyen, Yixun Xing, Ana M. Barragan-Montero, Jan Schuemann, Haijiao Shang, Yuehu Pu, Steve B. Jiang:
Improving proton dose calculation accuracy by using deep learning. Mach. Learn. Sci. Technol. 2(1): 15017 (2021)
Conference and Workshop Papers
- 2024
- [c4]Chuxin Zhang, Ana Maria Barragán-Montero, John A. Lee:
SDE U-Net: Disentangling Aleatoric and Epistemic Uncertainties in Medical Image Segmentation. ESANN 2024 - 2023
- [c3]Ana Maria Barragán-Montero, Robin Tilman, Margerie Huet-Dastarac, John A. Lee:
Single-pass uncertainty estimation with layer ensembling for regression: application to proton therapy dose prediction for head and neck cancer. ESANN 2023 - 2021
- [c2]John A. Lee, Alyssa Vanginderdeuren, Margerie Huet-Dastarac, Ana Maria Barragán-Montero:
Estimating uncertainty in radiation oncology dose prediction with dropout and bootstrap in U-Net models. ESANN 2021 - 2019
- [c1]Ana M. Barragan-Montero, Dan Nguyen, Weiguo Lu, Mu-Han Lin, Xavier Geets, Edmond Sterpin, Steve B. Jiang:
Application of deep neural networks for automatic planning in radiation oncology treatments. ESANN 2019
Informal and Other Publications
- 2023
- [i4]Margerie Huet-Dastarac, Dan Nguyen, Steve B. Jiang, John A. Lee, Ana M. Barragan-Montero:
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. CoRR abs/2310.19686 (2023) - 2022
- [i3]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, Erik Faustmann, Sibaji Gaj, Skylar S. Gay, Mary Gronberg, Bingqi Guo, Junjun He, Gerd Heilemann, Sanchit Hira, Yuliang Huang, Fuxin Ji, Dashan Jiang, Jean Carlo Jimenez Giraldo, Hoyeon Lee, Jun Lian, Shuolin Liu, Keng-Chi Liu, José Marrugo, Kentaro Miki, Kunio Nakamura, Tucker J. Netherton, Dan Nguyen, Hamidreza Nourzadeh, Alexander F. I. Osman, Zhao Peng, José Darío Quinto Muñoz, Christian Ramsl, Dong Joo Rhee, Juan David Rodriguez, Hongming Shan, Jeffrey V. Siebers, Mumtaz Hussain Soomro, Kay Sun, Andrés Usuga Hoyos, Carlos Valderrama, Rob Verbeek, Enpei Wang, Siri Willems, Qi Wu, Xuanang Xu, Sen Yang, Lulin Yuan, Simeng Zhu, Lukas Zimmermann, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan:
OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. CoRR abs/2202.08303 (2022) - 2020
- [i2]Roya Norouzi Kandalan, Dan Nguyen, Nima Hassan Rezaeian, Ana M. Barragan-Montero, Sebastiaan Breedveld, Kamesh Namuduri, Steve B. Jiang, Mu-Han Lin:
Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model Adaptation to Different Treatment Planning Practices. CoRR abs/2006.16481 (2020) - 2018
- [i1]Ana M. Barragan-Montero, Dan Nguyen, Weiguo Lu, Mu-Han Lin, Xavier Geets, Edmond Sterpin, Steve B. Jiang:
Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations. CoRR abs/1812.06934 (2018)
Coauthor Index
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