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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