Deep Learning–Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans
2023 · Practical Radiation Oncology · 42 citations
https://doi.org/10.1016/j.prro.2022.12.003
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David Fuentes
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David Fuentes is an academic researcher from The University of Texas MD Anderson Cancer Center. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Advanced Radiotherapy Techniques & Medical Imaging Techniques and Applications. The author has an h-index of 30, co-authored 190 publications.
ORCID: 0000-0002-2572-6962Papers by this author
worksMultimodality annotated hepatocellular carcinoma data set including pre- and post-TACE with imaging segmentation
2023 · Scientific Data · 35 citations
https://doi.org/10.1038/s41597-023-01928-3
Photoacoustic-based s O 2 estimation through excised bovine prostate tissue with interstitial light delivery
2017 · Photoacoustics · 22 citations
https://doi.org/10.1016/j.pacs.2017.06.004
Artificial intelligence uncertainty quantification in radiotherapy applications − A scoping review
2024 · Radiotherapy and Oncology · 18 citations
https://doi.org/10.1016/j.radonc.2024.110542
Estimating Local Cellular Density in Glioma Using MR Imaging Data
2020 · American Journal of Neuroradiology · 17 citations
https://doi.org/10.3174/ajnr.a6884
Training robust T1-weighted magnetic resonance imaging liver segmentation models using ensembles of datasets with different contrast protocols and liver disease etiologies
2024 · Scientific Reports · 7 citations
https://doi.org/10.1038/s41598-024-71674-y
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