🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Ana María Barragán Montero

Molecular Oncology (United States)

ORCID: 0000-0002-9485-3076

Also affiliated with ABT Molecular Imaging (United States)

Physics and AstronomyMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Dose prediction with deep learning for prostate cancer radiation therapy: Model adaptation to different treatment planning practices”.

Dose prediction with deep learning for prostate cancer radiation therapy: Model adaptation to different treatment planning practices

Radiotherapy and Oncology(2020)10.1016/j.radonc.2020.10.027

N/A

0DataRank · unranked

98 citations

Dan Nguyen, Nima Hassan Rezaeian, Ana María Barragán Montero, Sebastiaan Breedveld, Kamesh Namuduri +3 more

Improving proton dose calculation accuracy by using deep learning

Machine Learning Science and Technology(2020)10.1088/2632-2153/abb6d5

N/A

0DataRank · unranked

53 citations

Dan Nguyen, Yixun Xing, Ana María Barragán Montero, Jan Schuemann, Haijiao Shang +3 more

Artificial intelligence and machine learning for medical imaging: A technology review

Physica Medica(2021)10.1016/j.ejmp.2021.04.016

N/A

0DataRank · unranked

433 citations

Umair Javaid, Gilmer Valdés, Dan Nguyen, Paul Desbordes, Benoît Macq +9 more

Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency

Physics in Medicine and Biology(2022)10.1088/1361-6560/ac678a

N/A

0DataRank · unranked

78 citations

Adrien Bibal, Margerie Huet Dastarac, Camille Draguet, Gilmer Valdés, Dan Nguyen +8 more