Carlos Eduardo Cardenas
Affiliations: | 2018 | Medical Physics | The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences |
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"Carlos Cardenas"Cross-listing: Physics Tree
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| Rhee DJ, Akinfenwa CPA, Rigaud B, et al. (2022) Automatic contouring QA method using a deep learning-based autocontouring system. Journal of Applied Clinical Medical Physics. e13647 |
| McGinnis GJ, Ning MS, Beadle BM, et al. (2022) Barriers and Facilitators of Implementing Automated Radiotherapy Planning: A Multisite Survey of Low- and Middle-Income Country Radiation Oncology Providers. Jco Global Oncology. 8: e2100431 |
| Cao W, Gronberg M, Olanrewaju A, et al. (2022) Knowledge-based planning for the radiation therapy treatment plan quality assurance for patients with head and neck cancer. Journal of Applied Clinical Medical Physics. e13614 |
| Korte JC, Cardenas C, Hardcastle N, et al. (2021) Author Correction: Radiomics feature stability of open-source software evaluated on apparent diffusion coefficient maps in head and neck cancer. Scientific Reports. 11: 18908 |
| Korte JC, Cardenas C, Hardcastle N, et al. (2021) Radiomics feature stability of open-source software evaluated on apparent diffusion coefficient maps in head and neck cancer. Scientific Reports. 11: 17633 |
| Han EY, Cardenas CE, Nguyen C, et al. (2021) Clinical implementation of automated treatment planning for whole-brain radiotherapy. Journal of Applied Clinical Medical Physics |
| Elhalawani H, Cardenas CE, Volpe S, et al. (2021) FDG positron emission tomography mining for metabolic imaging biomarkers of radiation-induced xerostomia in patients with oropharyngeal cancer. Clinical and Translational Radiation Oncology. 29: 93-101 |
| Gronberg MP, Gay SS, Netherton TJ, et al. (2021) Technical Note: Dose prediction for head and neck radiotherapy using a three-dimensional dense dilated U-net architecture. Medical Physics |
| Hernandez S, Sjogreen C, Gay SS, et al. (2021) Development and dosimetric assessment of an automatic dental artifact classification tool to guide artifact management techniques in a fully automated treatment planning workflow. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 90: 101907 |
| Huang K, Rhee DJ, Ger R, et al. (2021) Impact of slice thickness, pixel size, and CT dose on the performance of automatic contouring algorithms. Journal of Applied Clinical Medical Physics |