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Mohammad Farid Azampour
Mohammad Farid Azampour
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Titel
Zitiert von
Zitiert von
Jahr
Ultrasound-guided robotic navigation with deep reinforcement learning
H Hase, MF Azampour, M Tirindelli, M Paschali, W Simson, ...
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
212020
Rethinking ultrasound augmentation: A physics-inspired approach
M Tirindelli, C Eilers, W Simson, M Paschali, MF Azampour, N Navab
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
102021
Position-based dynamics simulator of brain deformations for path planning and intra-operative control in keyhole neurosurgery
A Segato, C Di Vece, S Zucchelli, M Di Marzo, T Wendler, MF Azampour, ...
IEEE Robotics and Automation Letters 6 (3), 6061-6067, 2021
82021
A lightweight neural network with multiscale feature enhancement for liver CT segmentation
MY Ansari, Y Yang, S Balakrishnan, J Abinahed, A Al-Ansari, M Warfa, ...
Scientific reports 12 (1), 1-12, 2022
72022
Manifold learning based registration algorithms applied to multimodal images
MF Azampour, A Ghaffari, A Hamidinekoo, E Fatemizadeh
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
62014
Cactuss: Common anatomical CT-US space for us examinations
Y Velikova, W Simson, M Salehi, MF Azampour, P Paprottka, N Navab
Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022
12022
Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging
M Wysocki, MF Azampour, C Eilers, B Busam, M Salehi, N Navab
arXiv preprint arXiv:2301.10520, 2023
2023
Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine
B Jian, MF Azampour, F De Benetti, J Oberreuter, C Bukas, AS Gersing, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022
2022
Vol2Flow: Segment 3D Volumes Using a Sequence of Registration Flows
A Bitarafan, MF Azampour, K Bakhtari, M Soleymani Baghshah, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022
2022
A variational Bayesian method for similarity learning in non-rigid image registration
D Grzech, MF Azampour, B Glocker, J Schnabel, N Navab, B Kainz, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
2022
Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo
D Grzech, MF Azampour, H Qiu, B Glocker, B Kainz, LL Folgoc
arXiv preprint arXiv:2110.13289, 2021
2021
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