Investigation of radiomic signatures for local recurrence using primary tumor texture analysis in oropharyngeal head and neck cancer patients
2018 · Scientific Reports · 112 citations
https://doi.org/10.1038/s41598-017-14687-0
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Carlos Cárdenas
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Carlos Cárdenas is an academic researcher from University of Alabama at Birmingham. The author has contributed to research in topics: Advanced Radiotherapy Techniques & Radiomics and Machine Learning in Medical Imaging & Head and Neck Cancer Studies. The author has an h-index of 33, co-authored 247 publications.
ORCID: 0000-0003-1414-3849Papers by this author
worksThe role of computational methods for automating and improving clinical target volume definition
2020 · Radiotherapy and Oncology · 46 citations
https://doi.org/10.1016/j.radonc.2020.10.002
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
Prospective in silico study of the feasibility and dosimetric advantages of MRI-guided dose adaptation for human papillomavirus positive oropharyngeal cancer patients compared with standard IMRT
2018 · Clinical and Translational Radiation Oncology · 38 citations
https://doi.org/10.1016/j.ctro.2018.04.005
Multi-organ segmentation of abdominal structures from non-contrast and contrast enhanced CT images
2022 · Scientific Reports · 37 citations
https://doi.org/10.1038/s41598-022-21206-3
Automated Contouring of Contrast and Noncontrast Computed Tomography Liver Images With Fully Convolutional Networks
2020 · Advances in Radiation Oncology · 30 citations
https://doi.org/10.1016/j.adro.2020.04.023
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