Now showing items 1-4 of 4

    • Automatic Planning of Whole Breast Radiation Therapy Using Machine Learning Models. 

      Horton, Janet; Yoo, Sua; Yin, Fang-Fang; Wu, Qingrong; Blitzblau, Rachel; Sheng, Yang; Li, Taoran; ... (8 authors) (Frontiers in Oncology, 2019-01)
      Purpose: To develop an automatic treatment planning system for whole breast radiation therapy (WBRT) based on two intensity-modulated tangential fields, enabling near-real-time planning. Methods and Materials: A total of ...
    • Goal-Driven Beam Setting Optimization for Whole-Breast Radiation Therapy. 

      Yoo, Sua; Blitzblau, Rachel; Yin, Fang-Fang; Wu, Qingrong; Wang, Wentao; Sheng, Yang (Technology in cancer research & treatment, 2019-01)
      PURPOSE:To develop an automated optimization program to generate optimal beam settings for whole-breast radiation therapy driven by clinically oriented goals. MATERIALS AND METHODS:Forty patients were retrospectively included ...
    • Impact of collimator leaf width and treatment technique on stereotactic radiosurgery and radiotherapy plans for intra- and extracranial lesions. 

      Kirkpatrick, John; Chang, Zheng; Yin, Fang-Fang; Wang, Zhiheng; Wu, Qingrong; Meyer, Jeffrey J; Lu, Mei; ... (8 authors) (Radiation oncology (London, England), 2009-01-21)
      BACKGROUND: This study evaluated the dosimetric impact of various treatment techniques as well as collimator leaf width (2.5 vs 5 mm) for three groups of tumors -- spine tumors, brain tumors abutting the brainstem, and liver ...
    • Knowledge-Based Statistical Inference Method for Plan Quality Quantification. 

      Wu, Qingrong; Salama, Joseph; Yin, Fang-Fang; Zhang, Jiang; Ge, Yaorong; Wang, Chunhao; Sheng, Yang; ... (9 authors) (Technology in cancer research & treatment, 2019-01)
      AIM:The aim of the study is to develop a geometrically adaptive and statistically robust plan quality inference method. METHODS AND MATERIALS:We propose a knowledge-based plan quality inference method that references to ...