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Mohammad Farid Azampour

Showing results (1-10 of 9) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Manifold learning based registration algorithms applied to multimodal imagesMohammad Farid Azampour, Aboozar Ghaffari, Azam Hamidinekoo, et al.
International Journal of Computer Assisted Radiology and Surgery|January 25, 2024
CACTUSS: Common Anatomical CT-US Space for US examinationsYordanka Velikova, Walter Simson, Mohammad Farid Azampour, et al.
Medical Image Analysis|February 18, 2025
Self-supervised 3D medical image segmentation by flow-guided mask propagation learningAdeleh Bitarafan, Mohammad Mozafari, Mohammad Farid Azampour, et al.
International Journal of Computer Assisted Radiology and Surgery|May 15, 2024
Shape completion in the dark: completing vertebrae morphology from 3D ultrasoundMiruna-Alexandra Gafencu, Yordanka Velikova, Mahdi Saleh, et al.
Medical Physics|September 14, 2023
Anatomy-aware computed tomography-to-ultrasound spine registrationMohammad Farid Azampour, Maria Tirindelli, Jane Lameski, et al.
IEEE Transactions on Medical Imaging|June 3, 2024
Multitask Weakly Supervised Generative Network for MR-US RegistrationMohammad Farid Azampour, Kristina Mach, Emad Fatemizadeh, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 22, 2025
Intraoperative Registration by Cross-Modal Inverse Neural RenderingMaximilian Fehrentz, Mohammad Farid Azampour, Reuben Dorent, et al.
Scientific Reports|September 21, 2022
Publisher Correction: A lightweight neural network with multiscale feature enhancement for liver CT segmentationMohammed Yusuf Ansari, Yin Yang, Shidin Balakrishnan, et al.
Scientific Reports|August 19, 2022
A lightweight neural network with multiscale feature enhancement for liver CT segmentationMohammed Yusuf Ansari, Yin Yang, Shidin Balakrishnan, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Manifold learning based registration algorithms applied to multimodal imagesMohammad Farid Azampour, Aboozar Ghaffari, Azam Hamidinekoo, et al.
International Journal of Computer Assisted Radiology and Surgery|January 25, 2024
CACTUSS: Common Anatomical CT-US Space for US examinationsYordanka Velikova, Walter Simson, Mohammad Farid Azampour, et al.
Medical Image Analysis|February 18, 2025
Self-supervised 3D medical image segmentation by flow-guided mask propagation learningAdeleh Bitarafan, Mohammad Mozafari, Mohammad Farid Azampour, et al.
International Journal of Computer Assisted Radiology and Surgery|May 15, 2024
Shape completion in the dark: completing vertebrae morphology from 3D ultrasoundMiruna-Alexandra Gafencu, Yordanka Velikova, Mahdi Saleh, et al.
Medical Physics|September 14, 2023
Anatomy-aware computed tomography-to-ultrasound spine registrationMohammad Farid Azampour, Maria Tirindelli, Jane Lameski, et al.
IEEE Transactions on Medical Imaging|June 3, 2024
Multitask Weakly Supervised Generative Network for MR-US RegistrationMohammad Farid Azampour, Kristina Mach, Emad Fatemizadeh, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 22, 2025
Intraoperative Registration by Cross-Modal Inverse Neural RenderingMaximilian Fehrentz, Mohammad Farid Azampour, Reuben Dorent, et al.
Scientific Reports|September 21, 2022
Publisher Correction: A lightweight neural network with multiscale feature enhancement for liver CT segmentationMohammed Yusuf Ansari, Yin Yang, Shidin Balakrishnan, et al.
Scientific Reports|August 19, 2022
A lightweight neural network with multiscale feature enhancement for liver CT segmentationMohammed Yusuf Ansari, Yin Yang, Shidin Balakrishnan, et al.
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