2019 CAMI Peer Reviewed Journal Papers

  1. Fazel, A. and Chalard, R. and Reversat, D. and Vitrani, M.-A. (2019). 2392 ROBUST (Robotic Uterine Standardized Techniqueor): A Novel System for Uterine Biopsy. Journal of Minimally Invasive Gynecology. Vol 26, Issue 7 Pages S163.
  2. G. Fagogenis, M. Mencattelli, Z. Machaidze, B. Rosa, K. Price, F-Y. Wu, V. Weixler, M. Saeed, J. Mayer, P. Dupont. Autonomous robotic intracardiac catheter navigation using haptic vision, Science Robotics, American Association for the Advancement of Science, Vol. 4(29):eaaw1977, avril 2019.
  3. N. Lepoutre, L. Meylheuc, G. Bara, L. Barbé, B. Bayle. Bone cement modeling for percutaneous vertebroplasty, Journal of Biomedical Materials Research. Part B – Applied Biomaterials, Wiley, Vol. 107(5):1504-1515, 2019.
  4. P. Mascagni, S. Lim, C. Fiorillo, P. Zanne, F. Nageotte, L. Zorn, S. Perretta, M. de Mathelin, J. Marescaux, B. Dallemagne. Democratizing endoscopic submucosal dissection: Single-operator fully robotic colorectal ESD in a pig model, Gastroenterology, WB Saunders, Vol. 156(6), mai 2019.
  5. M. de Mathelin, F. Nageotte, P. Zanne, B. Dresp. Sensors for Expert Grip Force Profiling: Towards Benchmarking Manual Control of a Robotic Device for Surgical Tool Movements, Sensors, Molecular Diversity Preservation International (MDPI), Vol. 19(20):45-75, 2019.
  6. T. Issenhuth, V. Srivastav, A. Gangi, N. Padoy. Face detection in the operating room: comparison of state-of-the-art methods and a self-supervised approach, International Journal of Computer Assisted Radiology and Surgery, Springer-Verlag, Vol. 14(117):10, juin 2019.
  7. K. Kim, É. Breton, A. Gangi, J. Vappou. Simultaneous fat-referenced proton resonance frequency shift thermometry and MR elastography for the monitoring of thermal ablations, Magnetic Resonance in Medicine, John Wiley & Sons, 2019.
  8. C. Nwoye, D. Mutter, J. Marescaux, N. Padoy. Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Video, International Journal of Computer Assisted Radiology and Surgery, Springer-Verlag, pp. 1-10, avril 2019.
  9. N. Padoy. Machine and deep learning for workflow recognition during surgery, Minimally Invasive Therapy and Allied Technologies, Taylor & Francis, Vol. 28(2):82-90, 2019.
  10. Q. Peyron, K. Rabenorosoa, N. Andreff, P. Renaud. A numerical framework for the stability and cardinality analysis of concentric tube robots: Introduction and application to the follow-the-leader deployment, Mechanism and Machine Theory, Elsevier, Vol. 132:176-192, 2019.
  11. B. Rosa, V. Bordoux, F. Nageotte. Combining differential kinematics and optical flow for automatic labelling of continuum robots in minimally invasive surgery, Frontiers in Robotics and AI, Frontiers Research Foundation, pp. Online, septembre 2019.
  12. A. Twinanda, G. Yengera, D. Mutter, J. Marescaux, N. Padoy. RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations, IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers (IEEE), Vol. 38(4):1069-1078, 2019
  13. Jaouen, V., Bert, J., Mountris, K.A., Boussion, N., Schick, U., Pradier, O., Valeri, A., Visvikis, D., 2019. Prostate Volume Segmentation in TRUS Using Hybrid Edge-Bhattacharyya Active Surfaces. IEEE Trans Biomed Eng 66, 920–933 
  14. Jaouen, V., Bert, J., Boussion, N., Fayad, H., Hatt, M., Visvikis, D., 2019. Image Enhancement With PDEs and Nonconservative Advection Flow Fields. IEEE Transactions on Image Processing 28, 3075–3088
  15. Mountris, K.A., Visvikis, D., Bert, J., 2019. DVH-Based Inverse Planning Using Monte Carlo Dosimetry for LDR Prostate Brachytherapy. Int. J. Radiat. Oncol. Biol. Phys. 103, 503–510   ⟩
  16. Mouna Ben Salem, Hussein Hussein, Guillaume Aiche, Yassine Haddab, Philippe Lutz, Lennart Rubbert, and Pierre Renaud. Characterization of bistable mechanisms for microrobotics and mesorobotics. Journal of Micro-Bio Robotics. pp. 1-13, 2019.
  17. Atehortua, A., Garreau, M., Simon, A., Donal, E., Lederlin, M. and Romero, E., Fusion of 3D real-time echocardiography and cine MRI using a saliency analysis. International Journal of Computer Assisted Radiology and Surgery.  Early Access. 2019.
  18. Rigaud, B., Simon, A., Castelli, J., Lafond, C., Acosta, O., Haigron, P., Cazoulat, G., de Crevoisier, R. Deformable image registration for radiation therapy: principle, methods, applications and evaluation. Acta Oncologica 58(9): p. 1225-1237, 2019.
  19. Shen J., Zemiti N., Taoum C., Aiche G., Dillenseger J.-L., Rouanet P., Poignet P. Transrectal ultrasound image-based real-time augmented reality guidance in robot-assisted laparoscopic rectal surgery: a proof-of-concept study. International Journal of Computer Assisted Radiology and Surgery.  Early Access. 2019.
  20. Fiard G, Selmi SY, Promayon E, Descotes JL, Troccaz J. Simulation-based training for prostate biopsies: towards the validation of the Biopsym simulator. Minimally Invasive Therapy & Allied Technologies, online first August 2019
  21. Fiard G, Descotes JL, Troccaz J. Formation par la simulation : de quels outils disposons-nous en urologie ? Revue systématique de la littérature. Progrès en Urologie, 2019:29:295-311
  22. Troccaz J, Dagnino G, Yang GZ. Frontiers in Medical Robotics. Invited paper in “Annual reviews of biomedical engineering”, 2019:21:193-218
  23. Yiming Xiao, Hassan Rivaz, Matthieu Chabanas, Maryse Fortin, Ines Machado, Yangming Ou, Mattias P Heinrich, Julia A Schnabel, Xia Zhong, Andreas Maier, Wolfgang Wein, Roozbeh Shams, Samuel Kadoury, David Drobny, Marc Modat, Ingerid Reinertsen (2019). Evaluation of MRI to ultrasound registration methods for brain shift correction: The CuRIOUS2018 Challenge. IEEE Transactions on Medical Imaging.  DOI:10.1109/TMI.2019.2935060
  24. Derathé A, Reche F, Moreau-Gaudry A, Jannin P, Gibaud B, Voros S.  Predicting the quality of surgical exposure using spatial and procedural features from laparoscopic videos, Int. J. Comput. Assist. Radiol. Surg., online 2019, vol. 15, no. 1, pp. 59–67, Jan. 2020. https://doi.org/10.1007/s11548-019-02072-3
  25. Schaefer, P. L., Chagnon, G., & Moreau-Gaudry, A. (2019). 3D small strain large deflection beam shape sensing including poisson effect. Engineering Structures, 109948.
  26. Schaefer, P. L., Barrier, G., Chagnon, G., Alonso, T., & Moreau-Gaudry, A. (2019). Strain Gauges Based 3D Shape Monitoring of Beam Structures Using Finite Width Gauge Model. Experimental Techniques, 43(5), 599-611.
  27. Schaefer, P. L., Chagnon, G., & Moreau-Gaudry, A. (2019). Optimized needle shape reconstruction using experimentally based strain sensors positioning. Medical & biological engineering & computing, 57(9), 1901-1916.
  28. N. Ali, R. Collins, A. Hostettler, L. Soler, C. Doignon, J. Montiel. Live Tracking and Dense Reconstruction for Handheld Monocular Endoscopy, IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers (IEEE), Vol. 38(1):79-89, janvier 2019.
  29. F. Bing, J. Vappou, É. Breton, I. Enescu, J. Garnon, A. Gangi. Accuracy of a CT-Ultrasound Fusion Imaging Guidance System Used for Hepatic Percutaneous Procedures, JVIR: Journal of Vascular and Interventional Radiology, Elsevier, Vol. 30(7):1013-1020, 2019.
  30. Y. Adagolodjo, L. Goffin, M. de Mathelin, H. Courtecuisse. Robotic Insertion of Flexible Needle in Deformable Structures Using Inverse Finite-Element Simulation, IEEE Transactions on Robotics, Institute of Electrical and Electronics Engineers (IEEE), Vol. 35:697-708, mars 2019.
  31. F. Bing, J. Vappou, É. Breton, I. Enescu, J. Garnon, A. Gangi. Accuracy of a CT-Ultrasound Fusion Imaging Guidance System Used for Hepatic Percutaneous Procedures, JVIR: Journal of Vascular and Interventional Radiology, Elsevier, Vol. 30(7):1013-1020, 2019.
  32. J. Luo, C. Liu, N. Wang and C. Yang, “A wave variable approach with multiple channel architecture for teleoperated system”, IEEE Access, (early access), 04 October 2019
  33. J. Luo, C. Yang, H. Su and C. Liu, “A Robot Learning Method with Physiological Interface for Teleoperation Systems”, Applied Science (MDPI), 9(10), 2099, 2019
  34. J. Luo, C. Liu, C. Yang, “Estimation of EMG-Based Force Using a Neural-Network-Based Approach”, IEEE Access, Vol. 7, Issue 1, pp. 64856-64865, December 2019
  35. J. Guo, C. Liu, P. Poignet. “A Scaled Bilateral Teleoperation System for Robotic-Assisted Surgery with Time Delay”, Journal of Intelligent and Robotic Systems (Springer), Issue 1, Vol. 95, pp. 165-192, July 2019
  36. Elahi S.A., Connesson N., Chagnon G. & Payan Y. (2019). In-vivo soft tissues mechanical characterization: volume-based aspiration method validated on silicones. Experimental Mechanics, Vol. 59(2), pp 251–261. (Impact factor: 2.1)
  37. Lustig M., Feng Q., Payan Y., Gefen A. & Benayahu D. (2019). Noninvasive Continuous Monitoring of Adipocyte Differentiation: From Macro to Micro Scales. Microscopy and Microanalysis, pp. 119-128. DOI: 10.1017/S1431927618015520. (Impact factor: 2.7)
  38. Lustig, J. P., Aubry, S., Vidal, C., Pazart, L., Moreau-Gaudry, A., & Bricault, I. (2019). Body interventional procedures: which is the best method for CT guidance?. European radiology, 1-8.
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