Manifold learning based registration algorithms applied to multimodal images. - Mohammad Farid Azampour; Aboozar Ghaffari; Azam Hamidinekoo; Emad Fatemizadeh (EMBC, 2014)

Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning. - Hannes Hase; Mohammad Farid Azampour; Maria Tirindelli; Magdalini Paschali; Walter Simson; Emad Fatemizadeh; Nassir Navab (IROS, 2020)

Rethinking Ultrasound Augmentation: A Physics-Inspired Approach. - Maria Tirindelli; Christine Eilers; Walter Simson; Magdalini Paschali; Mohammad Farid Azampour; Nassir Navab (MICCAI (8), 2021)

Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo. - Daniel Grzech; Mohammad Farid Azampour; Huaqi Qiu; Ben Glocker; Bernhard Kainz; Loïc Le Folgoc (CoRR, 2021)

Position-Based Dynamics Simulator of Brain Deformations for Path Planning and Intra-Operative Control in Keyhole Neurosurgery. - Alice Segato; Chiara Di Vece; Sara Zucchelli; Marco Di Marzo; Thomas Wendler 001; Mohammad Farid Azampour; Stefano Galvan; Riccardo Secoli; Elena De Momi (IEEE Robotics Autom. Lett., 2021)

A variational Bayesian method for similarity learning in non-rigid image registration. - Daniel Grzech; Mohammad Farid Azampour; Ben Glocker; Julia A. Schnabel; Nassir Navab; Bernhard Kainz; Loïc Le Folgoc (CVPR, 2022)

Vol2Flow: Segment 3D Volumes Using a Sequence of Registration Flows. - Adeleh Bitarafan; Mohammad Farid Azampour; Kian Bakhtari; Mahdieh Soleymani Baghshah; Matthias Keicher; Nassir Navab (MICCAI (4), 2022)

Weakly-Supervised Biomechanically-Constrained CT/MRI Registration of the Spine. - 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 001 (MICCAI (6), 2022)

CACTUSS: Common Anatomical CT-US Space for US Examinations. - Yordanka Velikova; Walter Simson; Mehrdad Salehi; Mohammad Farid Azampour; Philipp Paprottka; Nassir Navab (MICCAI (3), 2022)

Self-supervised Probe Pose Regression via Optimized Ultrasound Representations for US-CT Fusion. - Mohammad Farid Azampour; Yordanka Velikova; Emad Fatemizadeh; Sarada Prasad Dakua; Nassir Navab (MICAD, 2023)

VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation. - Mohammad Mozafari; Adeleh Bitarafan; Mohammad Farid Azampour; Azade Farshad; Mahdieh Soleymani Baghshah; Nassir Navab (MICCAI (2), 2023)

LOTUS: Learning to Optimize Task-Based US Representations. - Yordanka Velikova; Mohammad Farid Azampour; Walter Simson; Vanessa Gonzalez Duque; Nassir Navab (MICCAI (1), 2023)

A Patient-Specific Self-supervised Model for Automatic X-Ray/CT Registration. - Baochang Zhang 003; Shahrooz Faghihroohi; Mohammad Farid Azampour; Shuting Liu; Reza Ghotbi; Heribert Schunkert; Nassir Navab (MICCAI (9), 2023)

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

Implicit Neural Representations for Breathing-compensated Volume Reconstruction in Robotic Ultrasound Aorta Screening. - Yordanka Velikova; Mohammad Farid Azampour; Walter Simson; Marco Esposito; Nassir Navab (CoRR, 2023)

Self-supervised Vessel Segmentation from X-ray Images using Digitally Reconstructed Radiographs. - Zichen Zhang 021; Baochang Zhang 003; Mohammad Farid Azampour; Shahrooz Faghihroohi; Agnieszka Tomczak; Heribert Schunkert; Nassir Navab (Bildverarbeitung für die Medizin, 2024)

Implicit Neural Representations for Breathing-compensated Volume Reconstruction in Robotic Ultrasound. - Yordanka Velikova; Mohammad Farid Azampour; Walter Simson; Marco Esposito; Nassir Navab (ICRA, 2024)

Diffusion as Sound Propagation: Physics-Inspired Model for Ultrasound Image Generation. - Marina Domínguez; Yordanka Velikova; Nassir Navab; Mohammad Farid Azampour (MICCAI (4), 2024)

PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution Enhancement. - Felix Duelmer; Walter Simson; Mohammad Farid Azampour; Magdalena Wysocki; Angelos Karlas; Nassir Navab (ASMUS@MICCAI, 2024)

Intraoperative Registration by Cross-Modal Inverse Neural Rendering. - 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 (MICCAI (6), 2024)

Unsupervised Similarity Learning for Image Registration with Energy-Based Models. - Daniel Grzech; Loïc Le Folgoc; Mohammad Farid Azampour; Athanasios Vlontzos; Ben Glocker; Nassir Navab; Julia A. Schnabel; Bernhard Kainz (WBIR, 2024)

Shape Completion in the Dark: Completing Vertebrae Morphology from 3D Ultrasound. - Miruna Gafencu; Yordanka Velikova; Mahdi Saleh; Tamas Ungi; Nassir Navab; Thomas Wendler 001; Mohammad Farid Azampour (CoRR, 2024)

CACTUSS: Common Anatomical CT-US Space for US examinations. - Yordanka Velikova; Walter Simson; Mohammad Farid Azampour; Philipp Paprottka; Nassir Navab (Int. J. Comput. Assist. Radiol. Surg., 2024)

Shape completion in the dark: completing vertebrae morphology from 3D ultrasound. - Miruna-Alexandra Gafencu; Yordanka Velikova; Mahdi Saleh; Tamas Ungi; Nassir Navab; Thomas Wendler 001; Mohammad Farid Azampour (Int. J. Comput. Assist. Radiol. Surg., 2024)

Multitask Weakly Supervised Generative Network for MR-US Registration. - Mohammad Farid Azampour; Kristina Mach; Emad Fatemizadeh; Beatrice Demiray; Kay Westenfelder; Katja Steiger; Matthias Eiber; Thomas Wendler 001; Bernhard Kainz; Nassir Navab (IEEE Trans. Medical Imaging, 2024)

Skelite: Compact Neural Networks for Efficient Iterative Skeletonization. - Luis D. Reyes Vargas; Martin J. Menten; Johannes C. Paetzold; Nassir Navab; Mohammad Farid Azampour (IPMI (1), 2025)

NEMt: Fast Targeted Explanations for Medical Image Models via Neural Explanation Masks. - Bjørn Leth Møller; Sepideh Amiri; Christian Igel; Kristoffer Knutsen Wickstrøm; Robert Jenssen; Matthias Keicher; Mohammad Farid Azampour; Nassir Navab; Bulat Ibragimov (NLDL, 2025)

Self-supervised 3D medical image segmentation by flow-guided mask propagation learning. - Adeleh Bitarafan; Mohammad Mozafari; Mohammad Farid Azampour; Mahdieh Soleymani Baghshah; Nassir Navab; Azade Farshad (Medical Image Anal., 2025)

UltraRay: Full-Path Ray Tracing for Enhancing Realism in Ultrasound Simulation. - Felix Duelmer; Mohammad Farid Azampour; Nassir Navab (CoRR, 2025)

HyperSORT: Self-Organising Robust Training with hyper-networks. - Samuel Joutard; Marijn F. Stollenga; Marcos Balle Sánchez; Mohammad Farid Azampour; Raphael Prevost (CoRR, 2025)

Shape Completion and Real-Time Visualization in Robotic Ultrasound Spine Acquisitions. - Miruna-Alexandra Gafencu; Reem Shaban; Yordanka Velikova; Mohammad Farid Azampour; Nassir Navab (CoRR, 2025)