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Hooman Esfandiari

Showing results (1-10 of 22) with videos related to

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Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|October 18, 2017
Single-camera visual odometry to track a surgical X-ray C-arm baseHooman Esfandiari, Derek Lichti, Carolyn Anglin
Frontiers in Surgery|February 14, 2022
Overview of Methods to Quantify Invasiveness of Surgical Approaches in Orthopedic Surgery-A Scoping ReviewNiels Buis, Hooman Esfandiari, Armando Hoch, et al.
Journal of Imaging|October 26, 2022
X23D-Intraoperative 3D Lumbar Spine Shape Reconstruction Based on Sparse Multi-View X-ray DataSascha Jecklin, Carla Jancik, Mazda Farshad, et al.
International Journal of Computer Assisted Radiology and Surgery|July 23, 2020
A visual odometry base-tracking system for intraoperative C-arm guidanceLuke Haliburton, Hooman Esfandiari, Pierre Guy, et al.
International Journal of Computer Assisted Radiology and Surgery|May 30, 2018
A deep learning framework for segmentation and pose estimation of pedicle screw implants based on C-arm fluoroscopyHooman Esfandiari, Robyn Newell, Carolyn Anglin, et al.
Journal of Imaging|February 24, 2023
Translation of Medical AR Research into Clinical PracticeMatthias Seibold, José Miguel Spirig, Hooman Esfandiari, et al.
BMC Musculoskeletal Disorders|July 22, 2022
Introducing a brain-computer interface to facilitate intraoperative medical imaging control - a feasibility studyHooman Esfandiari, Pascal Troxler, Sandro Hodel, et al.
The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS|January 19, 2021
Deep learning-based X-ray inpainting for improving spinal 2D-3D registrationHooman Esfandiari, Simon Weidert, István Kövesházi, et al.
International Journal of Computer Assisted Radiology and Surgery|April 11, 2018
An intraoperative fluoroscopic method to accurately measure the post-implantation position of pedicle screwsRobyn Newell, Hooman Esfandiari, Carolyn Anglin, et al.
International Journal of Computer Assisted Radiology and Surgery|July 12, 2019
A comparative analysis of intensity-based 2D-3D registration for intraoperative use in pedicle screw insertion surgeriesHooman Esfandiari, Carolyn Anglin, Pierre Guy, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|October 18, 2017
Single-camera visual odometry to track a surgical X-ray C-arm baseHooman Esfandiari, Derek Lichti, Carolyn Anglin
Frontiers in Surgery|February 14, 2022
Overview of Methods to Quantify Invasiveness of Surgical Approaches in Orthopedic Surgery-A Scoping ReviewNiels Buis, Hooman Esfandiari, Armando Hoch, et al.
Journal of Imaging|October 26, 2022
X23D-Intraoperative 3D Lumbar Spine Shape Reconstruction Based on Sparse Multi-View X-ray DataSascha Jecklin, Carla Jancik, Mazda Farshad, et al.
International Journal of Computer Assisted Radiology and Surgery|July 23, 2020
A visual odometry base-tracking system for intraoperative C-arm guidanceLuke Haliburton, Hooman Esfandiari, Pierre Guy, et al.
International Journal of Computer Assisted Radiology and Surgery|May 30, 2018
A deep learning framework for segmentation and pose estimation of pedicle screw implants based on C-arm fluoroscopyHooman Esfandiari, Robyn Newell, Carolyn Anglin, et al.
Journal of Imaging|February 24, 2023
Translation of Medical AR Research into Clinical PracticeMatthias Seibold, José Miguel Spirig, Hooman Esfandiari, et al.
BMC Musculoskeletal Disorders|July 22, 2022
Introducing a brain-computer interface to facilitate intraoperative medical imaging control - a feasibility studyHooman Esfandiari, Pascal Troxler, Sandro Hodel, et al.
The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS|January 19, 2021
Deep learning-based X-ray inpainting for improving spinal 2D-3D registrationHooman Esfandiari, Simon Weidert, István Kövesházi, et al.
International Journal of Computer Assisted Radiology and Surgery|April 11, 2018
An intraoperative fluoroscopic method to accurately measure the post-implantation position of pedicle screwsRobyn Newell, Hooman Esfandiari, Carolyn Anglin, et al.
International Journal of Computer Assisted Radiology and Surgery|July 12, 2019
A comparative analysis of intensity-based 2D-3D registration for intraoperative use in pedicle screw insertion surgeriesHooman Esfandiari, Carolyn Anglin, Pierre Guy, et al.
Pageof 3