Mohammad Farid Azampour

Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)

Postal address

Postal:
Boltzmannstr. 3
85748 Garching b. München

Phone: +49 (89) 289 - 19403
mf.azampour@tum.de

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

Publications

Wysocki, Magdalena; Azampour, Mohammad Farid; Eilers, Christine; Busam, Benjamin; Salehi, Mehrdad; Navab, Nassir: Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging. 2023 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…
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…
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…
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…
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…
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…
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…
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