Hooman Esfandiari
Orcid: 0000-0003-2572-1798
According to our database1,
Hooman Esfandiari
authored at least 17 papers
between 2016 and 2025.
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Bibliography
2025
SafeRPlan: Safe deep reinforcement learning for intraoperative planning of pedicle screw placement.
Medical Image Anal., 2025
2024
Deep-learning based 3D reconstruction of lower limb bones from biplanar radiographs for preoperative osteotomy planning.
Int. J. Comput. Assist. Radiol. Surg., September, 2024
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery.
Medical Image Anal., January, 2024
Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data.
Medical Image Anal., 2024
2023
J. Imaging, 2023
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery.
CoRR, 2023
2022
X23D - Intraoperative 3D Lumbar Spine Shape Reconstruction Based on Sparse Multi-View X-ray Data.
J. Imaging, 2022
2021
SpineDepth: A Multi-Modal Data Collection Approach for Automatic Labelling and Intraoperative Spinal Shape Reconstruction Based on RGB-D Data.
J. Imaging, 2021
A New Approach to Orthopedic Surgery Planning Using Deep Reinforcement Learning and Simulation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Int. J. Comput. Assist. Radiol. Surg., 2020
2019
A comparative analysis of intensity-based 2D-3D registration for intraoperative use in pedicle screw insertion surgeries.
Int. J. Comput. Assist. Radiol. Surg., 2019
2018
An intraoperative fluoroscopic method to accurately measure the post-implantation position of pedicle screws.
Int. J. Comput. Assist. Radiol. Surg., 2018
A deep learning framework for segmentation and pose estimation of pedicle screw implants based on C-arm fluoroscopy.
Int. J. Comput. Assist. Radiol. Surg., 2018
2016
A fast, accurate and closed-form method for pose recognition of an intramedullary nail using a tracked C-arm.
Int. J. Comput. Assist. Radiol. Surg., 2016