- Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging. 2023 mehr…
- CACTUSS: Common Anatomical CT-US Space for US Examinations. Medical Image Computing and Computer Assisted Intervention -- MICCAI 2022, Springer Nature Switzerland, 2022 mehr…
- Vol2Flow: Segment 3D Volumes Using a Sequence of Registration Flows. Medical Image Computing and Computer Assisted Intervention -- MICCAI 2022, Springer Nature Switzerland, 2022 mehr…
- Weakly-Supervised Biomechanically-Constrained CT/MRI Registration of the Spine. Medical Image Computing and Computer Assisted Intervention -- MICCAI 2022, Springer Nature Switzerland, 2022 mehr…
- 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 mehr…
- Position-Based Dynamics Simulator of Brain Deformations for Path Planning and Intra-Operative Control in Keyhole Neurosurgery. IEEE Robotics and Automation Letters 6 (3), 2021, 6061-6067 mehr…
- Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo. Machine Learning for Biomedical Imaging 1, 2021, 1--25 mehr…
- Rethinking Ultrasound Augmentation: A Physics-Inspired Approach. arXiv preprint arXiv:2105.02188, 2021 mehr…
- Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning. arXiv preprint arXiv:2003.13321, 2020 mehr…
- Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 mehr…
Mohammad Farid Azampour
Mohammad Farid Azampour
Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)
Postal address
Postal:
Boltzmannstr. 3
85748 Garching b. München
- Phone: +49 (89) 289 - 19403
- mf.azampour@tum.de
Research Interests
- Deep Learning for Medical Image Registration
- Anatomy-aware Deep Learning
- Implicit Neural Representation in Medical Image Processing
Publications
Student Projects
Feel free to contact me if your interested in a IDP, Guided Research, Clicial Application Project or Thesis (MA, BA)