Threshold-driven optimization for reference-based auto-planning.
Sign Up to like & getrecommendations! Published in 2018 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/aaa731
Abstract: We study threshold-driven optimization methodology for automatically generating a treatment plan that is motivated by a reference DVH for IMRT treatment planning. We present a framework for threshold-driven optimization for reference-based auto-planning (TORA). Commonly used… read more here.
Keywords: auto planning; methodology; driven optimization; reference ... See more keywords
Random Threshold Driven Tail Dependence Measures with Application to Precipitation Data Analysis
Sign Up to like & getrecommendations! Published in 2017 at "Statistica Sinica"
DOI: 10.5705/ss.202014.0421
Abstract: This paper first studies the theoretical properties of the tail quotient correlation coefficient (TQCC) which was proposed to measure tail dependence between two random variables. By introducing random thresholds in TQCC, an approximation theory between… read more here.
Keywords: tail dependence; threshold driven; random threshold; tail ... See more keywords