Mohammad Farid Azampour
Zitiert von
Zitiert von
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
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), 14153, 2022
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
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
Cactuss: Common anatomical ct-us space for us examinations
Y Velikova, W Simson, MF Azampour, P Paprottka, N Navab
International Journal of Computer Assisted Radiology and Surgery, 1-9, 2024
Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging
M Wysocki, MF Azampour, C Eilers, B Busam, M Salehi, N Navab
Medical Imaging with Deep Learning, 2023
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
A patient-specific self-supervised model for automatic X-Ray/CT registration
B Zhang, S Faghihroohi, MF Azampour, S Liu, R Ghotbi, H Schunkert, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
LOTUS: Learning to Optimize Task-based US representations
Y Velikova, MF Azampour, W Simson, V Gonzalez Duque, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2023
Weakly-supervised biomechanically-constrained CT/MRI Registration of the spine
B Jian, MF Azampour, F De Benetti, J Oberreuter, C Bukas, AS Gersing, ...
International Conference on Medical Image Computing and Computer-Assisted …, 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
Vol2flow: segment 3d volumes using a sequence of registration flows
A Bitarafan, MF Azampour, K Bakhtari, M Soleymani Baghshah, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2022
VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation
M Mozafari, A Bitarafan, MF Azampour, A Farshad, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
Anatomy‐aware computed tomography‐to‐ultrasound spine registration
MF Azampour, M Tirindelli, J Lameski, M Gafencu, E Tagliabue, ...
Medical Physics, 2023
Shape Completion in the Dark: Completing Vertebrae Morphology from 3D Ultrasound
MA Gafencu, Y Velikova, M Saleh, T Ungi, N Navab, T Wendler, ...
arXiv preprint arXiv:2404.07668, 2024
Self-supervised Vessel Segmentation from X-ray Images using Digitally Reconstructed Radiographs
Z Zhang, B Zhang, MF Azampour, S Faghihroohi, A Tomczak, ...
BVM Workshop, 220-225, 2024
Self-supervised Probe Pose Regression via Optimized Ultrasound Representations for US-CT Fusion
MF Azampour, Y Velikova, E Fatemizadeh, SP Dakua, N Navab
International Conference on Medical Imaging and Computer-Aided Diagnosis …, 2023
Implicit Neural Representations for Breathing-compensated Volume Reconstruction in Robotic Ultrasound Aorta Screening
Y Velikova, MF Azampour, W Simson, M Esposito, N Navab
arXiv preprint arXiv:2311.04999, 2023
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
Melba Journal 1 (UNSURE2020 special issue), 2021
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