2016 Book chapters

  1. Esteveny, L. Barbé, B. Bayle. Variable stiffness mechanism in robotized interventional radiology, dans New Trends in Medical and Service Robots, Mechanisms and Machine Science, Vol. 39:45-58, P. Wenger et al. (Eds.), Springer, juillet 2016.
  2. Howard and J. Szewczyk, Assisting Control of Forces in Laparoscopy Using Tactile and Visual Sensory Substitution New Trends in Medical and Service Robots, Human Centered Analysis, Control and Design, Wenger, P., Chevallereau, C., Pisla, D., Bleuler, H., Rodić, A. (Eds.) 2016.
  3. Boushaki, M. T. Chikhaoui, K. Rabenorosoa, C. Liu, N. Andreff and P. Poignet, “Conception, modélisation et commande des robots à tubes concentriques : vers des applications médicales”, Techniques de l’Ingénieur: Conception, modélisation et commande en robotique (in French), Vol. TIB398DUO, pp. 1-29, May 2016.
  4. 4) J. Guo, Liu, and P. Poignet, “Effect of Non-passive Operator on Enhanced Wave-Based Teleoperator for Robotic-Assisted Surgery: First Case Study”, in New Trends in Medical and Service Robots – Human Centered Analysis, Control and Design, P. Wenger, C. Chevallereau, D. Pisla, H. Bleuler, A. Rodić (Eds.), Springer, ISBN 978-3-319-30674-2, 2016.
  5. Payan Y. (2016). Soft Tissue Finite Element Modeling and Calibration of the Material Properties in the Context of Computer-Assisted Medical Interventions. In Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics, S. Avril and S. Evans editors, CISM International Centre for Mechanical Sciences 573, Chapter 6, pp. 133-143, Springer.
  6. Bucki M., Luboz V., Perrier A., Champion E., Diot B., Vuillerme N. & Payan Y. (2016). Clinical workflow for personalized foot pressure ulcer prevention. Medical Engineering & Physics, Vol. 38, pp. 845-853
  7. Bernhardt, S. Nicolau, V. Agnus, L. Soler, C. Doignon, J. Marescaux. Automatic localization of endoscope in intraoperative CT image : A simple approach to augmented reality guidance in laparoscopic surgery, Medical Image Analysis, Elsevier, Vol. 30:130-143, mai 2016. ( IF : 4.565, SNIP : 3.083, SJR : 2.048 )