Treatment Planning Optimization
Treatment Planning Optimization is a computational methodology within radiation oncology that distinguishes itself by systematically adjusting beam parameters, dose distributions, and objective weights to maximize tumor control while minimizing radiation exposure to normal tissues during external beam radiotherapy.
1.4K
Publications
63K
Citations
4.6K
Authors
1.1K
Institutions
Publications per year
2017–2026
375
Parents
1.4K
1–5 of 1.4K
4.6K
24
h-index
The University of Texas MD Anderson Cancer Center, United States
29 publications · 3.2K citations
23
h-index
The University of Texas Southwestern Medical Center, United States
29 publications · 1.9K citations
21
h-index
21
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19
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1–5 of 4.6K
1.1K
Massachusetts General Hospital
Boston, United States
38 h-index
171 publications
14.7K citations
Harvard University
Cambridge, United States
35 h-index
152 publications
13.6K citations
The University of Texas MD Anderson Cancer Center
Houston, United States
32 h-index
260 publications
21.1K citations
Heidelberg University
Heidelberg, Germany
31 h-index
212 publications
7.9K citations
German Cancer Research Center
Heidelberg, Germany
29 h-index
142 publications
6.6K citations

Institute of Cancer Research
London, United Kingdom
29 h-index
113 publications
5.7K citations
Stanford University
Stanford, United States
28 h-index
152 publications
8.1K citations
University of Michigan
Ann Arbor, United States
25 h-index
122 publications
5.8K citations
1–8 of 1.1K
273 publications · 14.2K citations
61
h-index
159 publications · 11.5K citations
61
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261 publications · 12.9K citations
60
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103 publications · 5.1K citations
40
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46 publications · 1.5K citations
24
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1–5