Mohammad Farid Azampour

Orcid: 0000-0003-4077-1021

According to our database1, Mohammad Farid Azampour authored at least 23 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Shape completion in the dark: completing vertebrae morphology from 3D ultrasound.
Int. J. Comput. Assist. Radiol. Surg., July, 2024

CACTUSS: Common Anatomical CT-US Space for US examinations.
Int. J. Comput. Assist. Radiol. Surg., May, 2024

Shape Completion in the Dark: Completing Vertebrae Morphology from 3D Ultrasound.
CoRR, 2024

Unsupervised Similarity Learning for Image Registration with Energy-Based Models.
Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024

Intraoperative Registration by Cross-Modal Inverse Neural Rendering.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution Enhancement.
Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

Diffusion as Sound Propagation: Physics-Inspired Model for Ultrasound Image Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Implicit Neural Representations for Breathing-compensated Volume Reconstruction in Robotic Ultrasound.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Self-supervised Vessel Segmentation from X-ray Images using Digitally Reconstructed Radiographs.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
Implicit Neural Representations for Breathing-compensated Volume Reconstruction in Robotic Ultrasound Aorta Screening.
CoRR, 2023

Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging.
Proceedings of the Medical Imaging with Deep Learning, 2023

A Patient-Specific Self-supervised Model for Automatic X-Ray/CT Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

LOTUS: Learning to Optimize Task-Based US Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
CACTUSS: Common Anatomical CT-US Space for US Examinations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Weakly-Supervised Biomechanically-Constrained CT/MRI Registration of the Spine.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Vol2Flow: Segment 3D Volumes Using a Sequence of Registration Flows.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A variational Bayesian method for similarity learning in non-rigid image registration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Position-Based Dynamics Simulator of Brain Deformations for Path Planning and Intra-Operative Control in Keyhole Neurosurgery.
IEEE Robotics Autom. Lett., 2021

Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo.
CoRR, 2021

Rethinking Ultrasound Augmentation: A Physics-Inspired Approach.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2014
Manifold learning based registration algorithms applied to multimodal images.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014


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