Machine Learning-based Planning
Machine Learning-Based Planning is a computational framework within cancer treatment planning that employs machine learning algorithms to model and optimize therapeutic interventions by learning patterns from clinical and biological data, thereby distinguishing it from conventional rule-based or manual planning approaches.
78
Publications
3.7K
Citations
456
Authors
173
Institutions
Publications per year
2017–2026
62
Parents
78
A planning quality evaluation tool for prostate adaptive IMRT based on machine learning
Xiaofeng Zhu, Yaorong Ge, Taoran Li et al. · Medical Physics · 2011 · 323 citations · Full text
Gilmer Valdés, Charles B. Simone, Josephine Chen et al. · Radiotherapy and Oncology · 2017 · 112 citations · Full text
1–5 of 78
456
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University of California, Los Angeles, United States
3 publications · 235 citations
3
h-index
1–5 of 456
173
Massachusetts General Hospital
Boston, United States
5 h-index
10 publications
558 citations
Duke Medical Center
Durham, United States
5 h-index
14 publications
1.7K citations
University of California, San Francisco
San Francisco, United States
4 h-index
16 publications
1.1K citations
University of Pennsylvania
Philadelphia, United States
4 h-index
13 publications
392 citations
Toronto Metropolitan University
Toronto, Canada
3 h-index
6 publications
236 citations

Princess Margaret Cancer Centre
Toronto, Canada
3 h-index
28 publications
3K citations
Harvard University
Cambridge, United States
3 h-index
8 publications
524 citations

Southern University of Science and Technology
Shenzhen, China
2 h-index
3 publications
168 citations
1–8 of 173
5 publications · 439 citations
5
h-index
4 publications · 164 citations
4
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PIRO · 3 publications · 147 citations
3
h-index
3 publications · 67 citations
3
h-index
2 publications · 38 citations
3
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1–5