APA

Luna J. M., Chao H., Shinohara R. T., Ungar L. H., Cengel K. A., Pryma D. A., Chinniah C., Berman A. T., Katz S. I., Kontos D., Simone C. B. & Diffenderfer E. S. (2020). Machine learning highlights the deficiency of conventional dosimetric constraints for prevention of high-grade radiation esophagitis in non-small cell lung cancer treated with chemoradiation. : Clinical and translational radiation oncology.

Chicago

Luna José Marcio, Chao Hann-Hsiang, Shinohara Russel T, Ungar Lyle H, Cengel Keith A, Pryma Daniel A, Chinniah Chidambaram, Berman Abigail T, Katz Sharyn I, Kontos Despina, Simone Charles B and Diffenderfer Eric S. 2020. Machine learning highlights the deficiency of conventional dosimetric constraints for prevention of high-grade radiation esophagitis in non-small cell lung cancer treated with chemoradiation. : Clinical and translational radiation oncology.

Harvard

Luna J. M., Chao H., Shinohara R. T., Ungar L. H., Cengel K. A., Pryma D. A., Chinniah C., Berman A. T., Katz S. I., Kontos D., Simone C. B. and Diffenderfer E. S. (2020). Machine learning highlights the deficiency of conventional dosimetric constraints for prevention of high-grade radiation esophagitis in non-small cell lung cancer treated with chemoradiation. : Clinical and translational radiation oncology.

MLA

Luna José Marcio, Chao Hann-Hsiang, Shinohara Russel T, Ungar Lyle H, Cengel Keith A, Pryma Daniel A, Chinniah Chidambaram, Berman Abigail T, Katz Sharyn I, Kontos Despina, Simone Charles B and Diffenderfer Eric S. Machine learning highlights the deficiency of conventional dosimetric constraints for prevention of high-grade radiation esophagitis in non-small cell lung cancer treated with chemoradiation. : Clinical and translational radiation oncology. 2020.