Servoing Performance Enhancement via a Respiratory Organ Motion Prediction Model for a Non-Invasive Ultrasound Theragnostic System. Fujii, T., Koizumi, N., Kayasuga, A., Lee, D., Tsukihara, H., Fukuda, H., Yoshinaka, K., Azuma, T., Miyazaki, H., Sugita, N., Numata, K., Homma, Y., Matsumoto, Y., & Mitsuishi, M. J. Robotics Mechatronics, 29(2):434–446, 2017.
Servoing Performance Enhancement via a Respiratory Organ Motion Prediction Model for a Non-Invasive Ultrasound Theragnostic System [link]Paper  doi  bibtex   
@article{DBLP:journals/jrm/FujiiKKLTFYAMSN17,
  author    = {Tatsuya Fujii and
               Norihiro Koizumi and
               Atsushi Kayasuga and
               Dongjun Lee and
               Hiroyuki Tsukihara and
               Hiroyuki Fukuda and
               Kiyoshi Yoshinaka and
               Takashi Azuma and
               Hideyo Miyazaki and
               Naohiko Sugita and
               Kazushi Numata and
               Yukio Homma and
               Yoichiro Matsumoto and
               Mamoru Mitsuishi},
  title     = {Servoing Performance Enhancement via a Respiratory Organ Motion Prediction
               Model for a Non-Invasive Ultrasound Theragnostic System},
  journal   = {J. Robotics Mechatronics},
  volume    = {29},
  number    = {2},
  pages     = {434--446},
  year      = {2017},
  url       = {https://doi.org/10.20965/jrm.2017.p0434},
  doi       = {10.20965/jrm.2017.p0434},
  timestamp = {Mon, 26 Oct 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jrm/FujiiKKLTFYAMSN17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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