Mazda Farshad
Orcid: 0000-0002-7190-1127
According to our database1,
Mazda Farshad
authored at least 24 papers
between 2019 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
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
Comput. Methods Programs Biomed., 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing.
Artif. Intell. Medicine, October, 2023
Robot-assisted ultrasound reconstruction for spine surgery: from bench-top to pre-clinical study.
Int. J. Comput. Assist. Radiol. Surg., September, 2023
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery.
CoRR, 2023
Next-generation Surgical Navigation: Multi-view Marker-less 6DoF Pose Estimation of Surgical Instruments.
CoRR, 2023
How different augmented reality visualizations for drilling affect trajectory deviation, visual attention, and user experience.
Int. J. Comput. Assist. Radiol. Surg., 2023
2022
Marker-free surgical navigation of rod bending using a stereo neural network and augmented reality in spinal fusion.
Medical Image Anal., 2022
X23D - Intraoperative 3D Lumbar Spine Shape Reconstruction Based on Sparse Multi-View X-ray Data.
J. Imaging, 2022
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Improved Techniques for the Conditional Generative Augmentation of Clinical Audio Data.
Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 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
Int. J. Comput. Assist. Radiol. Surg., 2021
Acoustic-Based Spatio-Temporal Learning for Press-Fit Evaluation of Femoral Stem Implants.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
2019
Int. J. Comput. Assist. Radiol. Surg., 2019