DAVID
SEVILLANO MARTÍNEZ
Investigador hasta 2024
Publicaciones (23) Publicaciones de DAVID SEVILLANO MARTÍNEZ
2023
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Are liver contour and bone fusion comparable to fiducials for IGRT in liver SBRT?
Technical Innovations and Patient Support in Radiation Oncology, Vol. 27
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Evaluation of a high resolution diode array for CyberKnife quality assurance
Journal of Applied Clinical Medical Physics, Vol. 24, Núm. 9
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Interobserver Variability in Contouring Hepatocellular Carcinoma at a Tertiary Center
Cancer Diagnosis & Prognosis, Vol. 3, Núm. 4, pp. 433-438
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The use of a thin guide-wire for urethral definition in prostate SBRT treatments with Cyberknife
Journal of Applied Clinical Medical Physics, Vol. 24, Núm. 8
2022
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PD-0405 Analysis of the internal motion of the urethra caused by urethral catheters
Radiotherapy and Oncology
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PO-1704 Dosimetric effect of uncorrected rotational errors during prostate SBRT Cyberknife treatments.
Radiotherapy and Oncology, Vol. 170, Núm. Supplement 1, pp. S1503-S1504
2021
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Application of discrete cosine transform to assess the effect of tumor motion variations on the definition of ITV in lung and liver SBRT
Physica Medica, Vol. 84, pp. 132-140
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PD-0780 Geometrical study of the feasibility of fiducial-less lymph node SBRT with Cyberknife
Radiotherapy and Oncology
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PO-1628 Pre-treatment verification using portal images. Could them substitute our reference phantom?
Radiotherapy and Oncology
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PO-1775 Effect of intra-fraction patient stability on treatment margins in brain SRS with Cyberknife
Radiotherapy and Oncology
2020
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Definition of internal target volumes based on planar X-ray fluoroscopic images for lung and hepatic stereotactic body radiation therapy. Comparison to inhale/exhale CT technique
Journal of Applied Clinical Medical Physics, Vol. 21, Núm. 8, pp. 56-64
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Dosimetric and Contrast Noise Ratio Comparison of Three Different Digital Imaging Technologies in Mammography
Journal of Medical Imaging and Radiation Sciences, Vol. 51, Núm. 1, pp. 88-94
2019
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EP-1899 Prediction of outcomes in lung SBRT with dosimetric variables and machine learning techniques
Radiotherapy and Oncology
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EP-1912 Outcome prediction with CT radiomics and random forests in primary lung tumor treated with SBRT
Radiotherapy and Oncology, Vol. 133, Núm. Supplement 1, pp. S1039
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On the use of Bayesian statistics in the application of adaptive setup protocols in radiotherapy
Medical Physics, Vol. 46, Núm. 10, pp. 4622-4630
2018
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Procedimientos recomendados para el control de calidad de IMRTen tomoterapia
Revista de Física Médica, Vol. 19, Núm. 2, pp. 73-102
2017
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PO-0871: Study of the effect of heterogeneous setup random errors in treatment margins
Radiotherapy and Oncology, Vol. 123, Núm. Supplement 1, pp. S474-S475
2016
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A general method for the definition of margin recipes depending on the treatment technique applied in helical tomotherapy prostate plans
Physica Medica, Vol. 32, Núm. 1, pp. 116-122
2015
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Effectiveness and toxicity of helical tomotherapy for patients with locally recurrent nasopharyngeal carcinoma
Clinical and Translational Oncology, Vol. 17, Núm. 11, pp. 925-931
2012
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Measurement and correction of leaf open times in helical tomotherapy
Medical Physics, Vol. 39, Núm. 11, pp. 6972-6980