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Technische Universität München
Technische Universität München

Mohammad Farid Azampour


Picture of 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

News

  • Our paper got accepted at MICAD 2023
  • Our paper got published in the Medical physics journal
  • 17 Papers from CAMP accepted for MICCAI 2023 (3 of those with significant contributions from Farid, 1 2 3)
  • Our paper got accepted at MIDL 2023 (Oral presentation)
  • 14 Papers from CAMP got accepted at MICCAI 2022 (3 of those with significant contribution from Farid, 1 2 3)

Research Interests

  • Deep learning for medical image registration
  • Anatomy-aware deep learning
  • Implicit neural representation in medical image processing
  • Vessel segmentation using deep learning

 

2024

  • Azampour, Mohammad Farid; Mach, Kristina; Fatemizadeh, Emad; Demiray, Beatrice; Westenfelder, Kay; Steiger, Katja; Eiber, Matthias; Wendler, Thomas; Kainz, Bernhard; Navab, Nassir: Multitask Weakly Supervised Generative Network for MR-US Registration. IEEE Transactions on Medical Imaging, 2024, 1-1 mehr…
  • Azampour, Mohammad Farid; Velikova, Yordanka; Fatemizadeh, Emad; Dakua, Sarada Prasad; Navab, Nassir: Self-supervised Probe Pose Regression via Optimized Ultrasound Representations for US-CT Fusion. In: Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024 mehr…
  • Gafencu, Miruna-Alexandra; Velikova, Yordanka; Saleh, Mahdi; Ungi, Tamas; Navab, Nassir; Wendler, Thomas; Azampour, Mohammad Farid: Shape completion in the dark: completing vertebrae morphology from 3D ultrasound. International Journal of Computer Assisted Radiology and Surgery 19 (7), 2024, 1339-1347 mehr…

2023

  • Azampour, Mohammad Farid; Tirindelli, Maria; Lameski, Jane; Gafencu, Miruna; Tagliabue, Eleonora; Fatemizadeh, Emad; Hacihaliloglu, Ilker; Navab, Nassir: Anatomy‐aware computed tomography‐to‐ultrasound spine registration. Medical Physics 51 (3), 2023, 2044-2056 mehr…
  • Mozafari, Mohammad; Bitarafan, Adeleh; Azampour, Mohammad Farid; Farshad, Azade; Soleymani Baghshah, Mahdieh; Navab, Nassir: VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2023 mehr…
  • Velikova, Yordanka; Azampour, Mohammad Farid; Simson, Walter; Gonzalez Duque, Vanessa; Navab, Nassir: LOTUS: Learning to Optimize Task-Based US Representations. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2023 mehr…
  • Wysocki, Magdalena; Azampour, Mohammad Farid; Eilers, Christine; Busam, Benjamin; Salehi, Mehrdad; Navab, Nassir: Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging. 2023 mehr…

2022

  • Bitarafan, Adeleh; Azampour, Mohammad Farid; Bakhtari, Kian; Soleymani Baghshah, Mahdieh; Keicher, Matthias; Navab, Nassir: Vol2Flow: Segment 3D Volumes Using a Sequence of Registration Flows. Medical Image Computing and Computer Assisted Intervention -- MICCAI 2022, Springer Nature Switzerland, 2022 mehr…
  • Grzech, Daniel; Azampour, Mohammad Farid; Glocker, Ben; Schnabel, Julia; Navab, Nassir; Kainz, Bernhard; Le Folgoc, Loı̈c: 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…
  • Jian, Bailiang; Azampour, Mohammad Farid; De Benetti, Francesca; Oberreuter, Johannes; Bukas, Christina; Gersing, Alexandra S.; Foreman, Sarah C.; Dietrich, Anna-Sophia; Rischewski, Jon; Kirschke, Jan S.; Navab, Nassir; Wendler, Thomas: Weakly-Supervised Biomechanically-Constrained CT/MRI Registration of the Spine. Medical Image Computing and Computer Assisted Intervention -- MICCAI 2022, Springer Nature Switzerland, 2022 mehr…
  • Velikova, Yordanka; Simson, Walter; Salehi, Mehrdad; Azampour, Mohammad Farid; Paprottka, Philipp; Navab, Nassir: CACTUSS: Common Anatomical CT-US Space for US Examinations. Medical Image Computing and Computer Assisted Intervention -- MICCAI 2022, Springer Nature Switzerland, 2022 mehr…

2021

  • Grzech, Daniel; Azampour, Mohammad Farid; Qiu, Huaqi; Glocker, Ben; Kainz, Bernhard; Le Folgoc, Loïc: Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo. Machine Learning for Biomedical Imaging 1, 2021, 1--25 mehr…
  • Segato, Alice; Vece, Chiara Di; Zucchelli, Sara; Marzo, Marco Di; Wendler, Thomas; Azampour, Mohammad Farid; Galvan, Stefano; Secoli, Riccardo; De Momi, Elena: 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…
  • Tirindelli, M.; Eilers, C.; Simson, W.; Paschali, M.; Azampour, M.; Navab, N.: Rethinking Ultrasound Augmentation: A Physics-Inspired Approach. arXiv preprint arXiv:2105.02188, 2021 mehr…

2020

  • Hase, H.; Azampour, MF.; Tirindelli, M.; Paschali, M.; Simson, W.; Fatemizadeh, E.; Navab, N.: Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning. arXiv preprint arXiv:2003.13321, 2020 mehr…
  • Hase, Hannes; Azampour, Mohammad Farid; Tirindelli, Maria; Paschali, Magdalini; Simson, Walter; Fatemizadeh, Emad; Navab, Nassir: Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 mehr…

Google Scholar link

Student Projects

Feel free to contact me if your interested in an IDP, Guided Research, Clicial Application Project or Thesis (MA, BA). I offer my projects as IDP or GR with the possiblity of continuation into a MA. Please check the list of open projects here: https://intranet.in.tum.de/pages/50z6k2npwvvurhjikhvcj5ukf/Offers 

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