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ORCIDMohammad Farid Azampour
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2020 – today
- 2024
[j4]Yordanka Velikova, Walter Simson, Mohammad Farid Azampour, Philipp Paprottka, Nassir Navab:
CACTUSS: Common Anatomical CT-US Space for US examinations. Int. J. Comput. Assist. Radiol. Surg. 19(5): 861-869 (2024)- [j3]Miruna-Alexandra Gafencu
, Yordanka Velikova, Mahdi Saleh, Tamas Ungi, Nassir Navab, Thomas Wendler, Mohammad Farid Azampour:
Shape completion in the dark: completing vertebrae morphology from 3D ultrasound. Int. J. Comput. Assist. Radiol. Surg. 19(7): 1339-1347 (2024) - [j2]Mohammad Farid Azampour, Kristina Mach, Emad Fatemizadeh, Beatrice Demiray, Kay Westenfelder, Katja Steiger, Matthias Eiber, Thomas Wendler, Bernhard Kainz, Nassir Navab:
Multitask Weakly Supervised Generative Network for MR-US Registration. IEEE Trans. Medical Imaging 43(11): 3780-3793 (2024) - [c17]Zichen Zhang, Baochang Zhang, Mohammad Farid Azampour, Shahrooz Faghihroohi, Agnieszka Tomczak, Heribert Schunkert, Nassir Navab:
Self-supervised Vessel Segmentation from X-ray Images using Digitally Reconstructed Radiographs. Bildverarbeitung für die Medizin 2024: 220-225 - [c16]Yordanka Velikova, Mohammad Farid Azampour, Walter Simson, Marco Esposito, Nassir Navab:
Implicit Neural Representations for Breathing-compensated Volume Reconstruction in Robotic Ultrasound. ICRA 2024: 1316-1322 - [c15]Felix Duelmer, Walter Simson, Mohammad Farid Azampour, Magdalena Wysocki, Angelos Karlas, Nassir Navab:
PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution Enhancement. ASMUS@MICCAI 2024: 35-44 - [c14]Maximilian Fehrentz, Mohammad Farid Azampour, Reuben Dorent, Hassan Rasheed, Colin Galvin, Alexandra J. Golby, William M. Wells III, Sarah F. Frisken, Nassir Navab, Nazim Haouchine:
Intraoperative Registration by Cross-Modal Inverse Neural Rendering. MICCAI (6) 2024: 317-327 - [c13]Marina Domínguez, Yordanka Velikova, Nassir Navab, Mohammad Farid Azampour:
Diffusion as Sound Propagation: Physics-Inspired Model for Ultrasound Image Generation. MICCAI (4) 2024: 613-623 - [c12]Daniel Grzech, Loïc Le Folgoc, Mohammad Farid Azampour, Athanasios Vlontzos, Ben Glocker, Nassir Navab, Julia A. Schnabel, Bernhard Kainz:
Unsupervised Similarity Learning for Image Registration with Energy-Based Models. WBIR 2024: 229-240 - [i13]Miruna Gafencu, Yordanka Velikova, Mahdi Saleh, Tamas Ungi, Nassir Navab, Thomas Wendler, Mohammad Farid Azampour:
Shape Completion in the Dark: Completing Vertebrae Morphology from 3D Ultrasound. CoRR abs/2404.07668 (2024) - [i12]Marina Domínguez, Yordanka Velikova, Nassir Navab, Mohammad Farid Azampour:
Diffusion as Sound Propagation: Physics-inspired Model for Ultrasound Image Generation. CoRR abs/2407.05428 (2024) - [i11]Felix Duelmer, Walter Simson, Mohammad Farid Azampour, Magdalena Wysocki, Angelos Karlas, Nassir Navab:
PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution Enhancement. CoRR abs/2408.03657 (2024) - [i10]Maximilian Fehrentz, Mohammad Farid Azampour, Reuben Dorent, Hassan Rasheed, Colin Galvin, Alexandra J. Golby, William M. Wells III, Sarah F. Frisken, Nassir Navab, Nazim Haouchine:
Intraoperative Registration by Cross-Modal Inverse Neural Rendering. CoRR abs/2409.11983 (2024) - 2023
- [c11]Mohammad Mozafari, Adeleh Bitarafan, Mohammad Farid Azampour, Azade Farshad, Mahdieh Soleymani Baghshah, Nassir Navab:
VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation. MICCAI (2) 2023: 112-122 - [c10]Yordanka Velikova, Mohammad Farid Azampour, Walter Simson, Vanessa Gonzalez Duque, Nassir Navab:
LOTUS: Learning to Optimize Task-Based US Representations. MICCAI (1) 2023: 435-445 - [c9]Baochang Zhang, Shahrooz Faghihroohi, Mohammad Farid Azampour, Shuting Liu, Reza Ghotbi, Heribert Schunkert, Nassir Navab:
A Patient-Specific Self-supervised Model for Automatic X-Ray/CT Registration. MICCAI (9) 2023: 515-524 - [c8]Magdalena Wysocki, Mohammad Farid Azampour, Christine Eilers, Benjamin Busam, Mehrdad Salehi, Nassir Navab:
Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging. MIDL 2023: 382-401 - [i9]Magdalena Wysocki, Mohammad Farid Azampour, Christine Eilers, Benjamin Busam, Mehrdad Salehi, Nassir Navab:
Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging. CoRR abs/2301.10520 (2023) - [i8]Yordanka Velikova, Mohammad Farid Azampour, Walter Simson, Vanessa Gonzalez Duque, Nassir Navab:
LOTUS: Learning to Optimize Task-based US representations. CoRR abs/2307.16021 (2023) - [i7]Yordanka Velikova, Mohammad Farid Azampour, Walter Simson, Marco Esposito, Nassir Navab:
Implicit Neural Representations for Breathing-compensated Volume Reconstruction in Robotic Ultrasound Aorta Screening. CoRR abs/2311.04999 (2023) - 2022
- [c7]Daniel Grzech, Mohammad Farid Azampour, Ben Glocker, Julia A. Schnabel, Nassir Navab, Bernhard Kainz, Loïc Le Folgoc:
A variational Bayesian method for similarity learning in non-rigid image registration. CVPR 2022: 119-128 - [c6]Bailiang Jian, Mohammad Farid Azampour, Francesca De Benetti, Johannes Oberreuter, Christina Bukas, Alexandra S. Gersing, Sarah C. Foreman, Anna-Sophia Dietrich, Jon Rischewski, Jan S. Kirschke, Nassir Navab, Thomas Wendler:
Weakly-Supervised Biomechanically-Constrained CT/MRI Registration of the Spine. MICCAI (6) 2022: 227-236 - [c5]Yordanka Velikova, Walter Simson, Mehrdad Salehi, Mohammad Farid Azampour, Philipp Paprottka, Nassir Navab:
CACTUSS: Common Anatomical CT-US Space for US Examinations. MICCAI (3) 2022: 492-501 - [c4]Adeleh Bitarafan, Mohammad Farid Azampour, Kian Bakhtari, Mahdieh Soleymani Baghshah, Matthias Keicher, Nassir Navab:
Vol2Flow: Segment 3D Volumes Using a Sequence of Registration Flows. MICCAI (4) 2022: 609-618 - [i6]Bailiang Jian, Mohammad Farid Azampour, Francesca De Benetti, Johannes Oberreuter, Christina Bukas, Alexandra S. Gersing, Sarah C. Foreman, Anna-Sophia Dietrich, Jon Rischewski, Jan S. Kirschke, Nassir Navab, Thomas Wendler:
Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine. CoRR abs/2205.07568 (2022) - [i5]Yordanka Velikova, Walter Simson, Mehrdad Salehi, Mohammad Farid Azampour, Philipp Paprottka, Nassir Navab:
CACTUSS: Common Anatomical CT-US Space for US examinations. CoRR abs/2207.08619 (2022) - 2021
- [j1]Alice Segato, Chiara Di Vece, Sara Zucchelli, Marco Di Marzo, Thomas Wendler, Mohammad Farid Azampour, Stefano Galvan, Riccardo Secoli, Elena De Momi:
Position-Based Dynamics Simulator of Brain Deformations for Path Planning and Intra-Operative Control in Keyhole Neurosurgery. IEEE Robotics Autom. Lett. 6(3): 6061-6067 (2021) - [c3]Maria Tirindelli, Christine Eilers, Walter Simson, Magdalini Paschali, Mohammad Farid Azampour, Nassir Navab:
Rethinking Ultrasound Augmentation: A Physics-Inspired Approach. MICCAI (8) 2021: 690-700 - [i4]Maria Tirindelli, Christine Eilers, Walter Simson, Magdalini Paschali, Mohammad Farid Azampour, Nassir Navab:
Rethinking Ultrasound Augmentation: A Physics-Inspired Approach. CoRR abs/2105.02188 (2021) - [i3]Alice Segato, Chiara Di Vece, Sara Zucchelli, Marco Di Marzo, Thomas Wendler, Mohammad Farid Azampour, Stefano Galvan, Riccardo Secoli, Elena De Momi:
Position-based Dynamics Simulator of Brain Deformations for Path Planning and Intra-Operative Control in Keyhole Neurosurgery. CoRR abs/2106.10206 (2021) - [i2]Daniel Grzech, Mohammad Farid Azampour, Huaqi Qiu, Ben Glocker, Bernhard Kainz, Loïc Le Folgoc:
Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo. CoRR abs/2110.13289 (2021) - 2020
- [c2]Hannes Hase, Mohammad Farid Azampour, Maria Tirindelli, Magdalini Paschali, Walter Simson, Emad Fatemizadeh, Nassir Navab:
Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning. IROS 2020: 5534-5541 - [i1]Hannes Hase, Mohammad Farid Azampour, Maria Tirindelli, Magdalini Paschali, Walter Simson, Emad Fatemizadeh, Nassir Navab:
Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning. CoRR abs/2003.13321 (2020)
2010 – 2019
- 2014
- [c1]Mohammad Farid Azampour, Aboozar Ghaffari, Azam Hamidinekoo, Emad Fatemizadeh:
Manifold learning based registration algorithms applied to multimodal images. EMBC 2014: 1030-1034
Coauthor Index
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