Dr. Hooman Esfandiari

Nach seinem Master in Geomatik (mit Spezialisierung in digitalen Bildgebungssystemen) an der Universität in Calgary, Kanada in 2014 begann Hooman seine Doktorarbeit in Biomedical Engineering an der Universität von British Columbia, Kanada und hat sie 2020 abgeschlossen. Im September 2020 hat er in unserer Forschungsgruppe als PostDoc angefangen und ist in diversen Projekten involviert, hauptsächlich in den Bereichen der computer-gestützten orthopädischen Chirurgie, medizinischen Bildanalyse, künstlichen Intelligenz und Augmented Reality.

Innerhalb von ROCS leitet Hooman das Forschungsteam im Bereich der künstlichen Intelligenz und ist CTO eines neu gegründeten Spinoffs X23D.

Publikationen

  • Liebmann F, Stütz D, Suter D, Jecklin S, Snedeker JG, Farshad M, Fürnstahl P, Esfandiari H. SpineDepth: A Multi-Modal Data Collection Approach for Automatic Labelling and Intraoperative Spinal Shape Reconstruction Based on RGB-D Data. Journal of Imaging. 2021 Aug 27;7(9):164.
  • Flury A, Hodel S, Hasler J, Hooman E, Fucentese SF, Vlachopoulos L. The winking sign is an indicator for increased femorotibial rotation in patients with recurrent patellar instability. Knee Surgery, Sports Traumatology, Arthroscopy. 2022 Apr 19:1-8.
  • Roth T, Carrillo F, Wieczorek M, Ceschi G, Esfandiari H, Sutter R, Vlachopoulos L, Wein W, Fucentese SF, Fürnstahl P. Three-dimensional preoperative planning in the weight-bearing state: validation and clinical evaluation. Insights into Imaging. 2021 Dec;12(1):1-1.
  • Ackermann J, Wieland M, Hoch A, Ganz R, Snedeker JG, Oswald MR, Pollefeys M, Zingg PO, Esfandiari H, Fürnstahl P. A new approach to orthopedic surgery planning using deep reinforcement learning and simulation. InInternational Conference on Medical Image Computing and Computer-Assisted Intervention 2021 Sep 27 (pp. 540-549). Springer, Cham.
  • Carrillo F, Esfandiari H, Müller S, von Atzigen M, Massalimova A, Suter D, Laux CJ, Spirig JM, Farshad M, Fürnstahl P. Surgical Process Modeling for Open Spinal Surgeries. Frontiers in Surgery. 2021;8.
  • Buis N, Esfandiari H, Hoch A, Fürnstahl P. Overview of Methods to Quantify Invasiveness of Surgical Approaches in Orthopedic Surgery—A Scoping Review. Frontiers in Surgery. 2021;8.
  • Esfandiari H, Weidert S, Kövesházi I, Anglin C, Street J, Hodgson AJ. Deep learning‐based X‐ray inpainting for improving spinal 2D‐3D registration. The International Journal of Medical Robotics and Computer Assisted Surgery. 2021 Apr;17(2):e2228.
  • Esfandiari H, Anglin C, Guy P, Street J, Weidert S, Hodgson AJ. A comparative analysis of intensity-based 2D–3D registration for intraoperative use in pedicle screw insertion surgeries. International Journal of Computer Assisted Radiology and Surgery. 2019 Oct;14(10):1725-39.
  • Esfandiari H, Newell R, Anglin C, Street J, Hodgson AJ. A deep learning framework for segmentation and pose estimation of pedicle screw implants based on C-arm fluoroscopy. International journal of computer assisted radiology and surgery. 2018 Aug;13(8):1269-82.
  • Newell R, Esfandiari H, Anglin C, Bernard R, Street J, Hodgson AJ. An intraoperative fluoroscopic method to accurately measure the post-implantation position of pedicle screws. International Journal of Computer Assisted Radiology and Surgery. 2018 Aug;13(8):1257-67.
  • Chan TO, Lichti DD, Jahraus A, Esfandiari H, Lahamy H, Steward J, Glanzer M. An egg volume measurement system based on the Microsoft Kinect. Sensors. 2018 Jul 28;18(8):2454.
  • Esfandiari H, Lichti D, Anglin C. Single-camera visual odometry to track a surgical X-ray C-arm base. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. 2017 Dec;231(12):1140-51.
  • Haliburton L, Esfandiari H, Guy P, Anglin C, Hodgson A. A visual odometry base-tracking system for intraoperative C-arm guidance. International Journal of Computer Assisted Radiology and Surgery. 2020 Oct;15(10):1597-609.
  • Esfandiari H, Amiri S, Lichti DD, Anglin C. A fast, accurate and closed-form method for pose recognition of an intramedullary nail using a tracked C-arm. International journal of computer assisted radiology and surgery. 2016 Apr;11(4):621-33.

Kongress Publikationen

  • Esfandiari H, Andreß S, Herold M, Böcker W, Weidert S, Hodgson AJ. A Deep Learning Approach for Single Shot C-Arm Pose Estimation. CAOS. 2020 
  • Esfandiari H, Anglin C, Guy P, Hodgson AJ. A deep learning-based approach for localization of pedicle regions in preoperative CT scans. CAOS. 2018 
  • Esfandiari H, Martinez J, Alvarez AG, Street J, Anglin C, Hodgson AJ. An automated, robust and closed form mini-RSA system for intraoperative C-arm calibration. Int J Comput Assist Radiol Surg. 2017