Developing a Low Dimensional Patient Class Profile in Accordance to Their Respiration-Induced Tumor Motion
Summary: Develops low-dimensional class profiles for respiration-induced tumor motion. Adaptive segmentation yields multi-sets of segments around baseline, ES- and D-Range shifts; a modified multi-set clustering builds clinically interpretable profiles. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,157 | A Data-adaptive and Dynamic Segmentation Index for Whole Matching on Time Series | 2013 | VLDB | 0.00013610658 |
| 5,830 | GEMINI: An Integrative Healthcare Analytics System | 2014 | VLDB | 5.3113542e-05 |
| 6,918 | Aggregate Profile Clustering for Telco Analytics | 2013 | VLDB | 4.8925595e-05 |
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