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A Machine Learning Model for Brain V12 Gy/V60% Prediction of LINAC-Based Single-Iso-Multiple-Targets (SIMT) Stereotactic Radiosurgery (SRS): A Longitudinal Study

Publication ,  Conference
Li, X; Zhang, J; Sheng, Y; Lafata, K; Eclov, N; Cui, Y; Giles, W; Adamson, J; Rodrigues, A; Wang, Z; Yoo, S; Yin, F; Wu, Q; Wang, C
Published in: MEDICAL PHYSICS
2020

Duke Scholars

Published In

MEDICAL PHYSICS

EISSN

2473-4209

ISSN

0094-2405

Publication Date

2020

Volume

47

Issue

6

Start / End Page

E568 / E569

Related Subject Headings

  • Nuclear Medicine & Medical Imaging
  • 5105 Medical and biological physics
  • 4003 Biomedical engineering
  • 1112 Oncology and Carcinogenesis
  • 0903 Biomedical Engineering
  • 0299 Other Physical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Li, X., Zhang, J., Sheng, Y., Lafata, K., Eclov, N., Cui, Y., … Wang, C. (2020). A Machine Learning Model for Brain V12 Gy/V60% Prediction of LINAC-Based Single-Iso-Multiple-Targets (SIMT) Stereotactic Radiosurgery (SRS): A Longitudinal Study. In MEDICAL PHYSICS (Vol. 47, pp. E568–E569).
Li, X., J. Zhang, Y. Sheng, K. Lafata, N. Eclov, Y. Cui, W. Giles, et al. “A Machine Learning Model for Brain V12 Gy/V60% Prediction of LINAC-Based Single-Iso-Multiple-Targets (SIMT) Stereotactic Radiosurgery (SRS): A Longitudinal Study.” In MEDICAL PHYSICS, 47:E568–69, 2020.
Li X, Zhang J, Sheng Y, Lafata K, Eclov N, Cui Y, Giles W, Adamson J, Rodrigues A, Wang Z, Yoo S, Yin F, Wu Q, Wang C. A Machine Learning Model for Brain V12 Gy/V60% Prediction of LINAC-Based Single-Iso-Multiple-Targets (SIMT) Stereotactic Radiosurgery (SRS): A Longitudinal Study. MEDICAL PHYSICS. 2020. p. E568–E569.

Published In

MEDICAL PHYSICS

EISSN

2473-4209

ISSN

0094-2405

Publication Date

2020

Volume

47

Issue

6

Start / End Page

E568 / E569

Related Subject Headings

  • Nuclear Medicine & Medical Imaging
  • 5105 Medical and biological physics
  • 4003 Biomedical engineering
  • 1112 Oncology and Carcinogenesis
  • 0903 Biomedical Engineering
  • 0299 Other Physical Sciences