A fast, accurate and closed-form method for pose recognition of an intramedullary nail using a tracked C-arm. - Hooman Esfandiari; Shahram Amiri; Derek D. Lichti; Carolyn Anglin (Int. J. Comput. Assist. Radiol. Surg., 2016)

A deep learning framework for segmentation and pose estimation of pedicle screw implants based on C-arm fluoroscopy. - Hooman Esfandiari; Robyn Newell; Carolyn Anglin; John Street; Antony J. Hodgson (Int. J. Comput. Assist. Radiol. Surg., 2018)

An intraoperative fluoroscopic method to accurately measure the post-implantation position of pedicle screws. - Robyn Newell; Hooman Esfandiari; Carolyn Anglin; Renee Bernard; John Street; Antony J. Hodgson (Int. J. Comput. Assist. Radiol. Surg., 2018)

An Egg Volume Measurement System Based on the Microsoft Kinect. - Ting On Chan; Derek D. Lichti; Adam Jahraus; Hooman Esfandiari; Hervé Lahamy; Jeremy Steward; Matthew Glanzer (Sensors, 2018)

A comparative analysis of intensity-based 2D-3D registration for intraoperative use in pedicle screw insertion surgeries. - Hooman Esfandiari; Carolyn Anglin; Pierre Guy; John Street; Simon Weidert; Antony J. Hodgson (Int. J. Comput. Assist. Radiol. Surg., 2019)

A visual odometry base-tracking system for intraoperative C-arm guidance. - Luke Haliburton; Hooman Esfandiari; Pierre Guy; Carolyn Anglin; Antony J. Hodgson (Int. J. Comput. Assist. Radiol. Surg., 2020)

A New Approach to Orthopedic Surgery Planning Using Deep Reinforcement Learning and Simulation. - Joëlle Ackermann; Matthias Wieland 003; Armando Hoch; Reinhold Ganz; Jess Gerrit Snedeker; Martin R. Oswald; Marc Pollefeys; Patrick Oliver Zingg; Hooman Esfandiari; Philipp Fürnstahl (MICCAI (4), 2021)

SpineDepth: A Multi-Modal Data Collection Approach for Automatic Labelling and Intraoperative Spinal Shape Reconstruction Based on RGB-D Data. - Florentin Liebmann; Dominik Stütz; Daniel Suter; Sascha Jecklin; Jess Gerrit Snedeker; Mazda Farshad; Philipp Fürnstahl; Hooman Esfandiari (J. Imaging, 2021)

X23D - Intraoperative 3D Lumbar Spine Shape Reconstruction Based on Sparse Multi-View X-ray Data. - Sascha Jecklin; Carla Jancik; Mazda Farshad; Philipp Fürnstahl; Hooman Esfandiari (J. Imaging, 2022)

Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement. - Yunke Ao; Hooman Esfandiari; Fabio Carrillo; Yarden As; Mazda Farshad; Benjamin F. Grewe; Andreas Krause 001; Philipp Fürnstahl (CoRR, 2023)

Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery. - Florentin Liebmann; Marco von Atzigen; Dominik Stütz; Julian Wolf 001; Lukas Zingg; Daniel Suter; Laura Leoty; Hooman Esfandiari; Jess Gerrit Snedeker; Martin R. Oswald; Marc Pollefeys; Mazda Farshad; et al. (CoRR, 2023)

Automatic 3D Postoperative Evaluation of Complex Orthopaedic Interventions. - Joëlle Ackermann; Armando Hoch; Jess Gerrit Snedeker; Patrick Oliver Zingg; Hooman Esfandiari; Philipp Fürnstahl (J. Imaging, 2023)

Translation of Medical AR Research into Clinical Practice. - Matthias Seibold; José Miguel Spirig; Hooman Esfandiari; Mazda Farshad; Philipp Fürnstahl (J. Imaging, 2023)

Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data. - Sascha Jecklin; Youyang Shen; Amandine Gout; Daniel Suter; Lilian Calvet; Lukas Zingg; Jennifer Straub; Nicola Alessandro Cavalcanti; Mazda Farshad; Philipp Fürnstahl; Hooman Esfandiari (Medical Image Anal., 2024)

Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery. - Florentin Liebmann; Marco von Atzigen; Dominik Stütz; Julian Wolf 001; Lukas Zingg; Daniel Suter; Nicola Cavalcanti; Laura Leoty; Hooman Esfandiari; Jess Gerrit Snedeker; Martin R. Oswald; Marc Pollefeys; et al. (Medical Image Anal., 2024)

Deep-learning based 3D reconstruction of lower limb bones from biplanar radiographs for preoperative osteotomy planning. - Tabitha Arn Roth; Moritz Jokeit; Reto Sutter; Lazaros Vlachopoulos; Sandro Fucentese; Fabio Carrillo; Jess Gerrit Snedeker; Hooman Esfandiari; Philipp Fürnstahl (Int. J. Comput. Assist. Radiol. Surg., 2024)

SafeRPlan: Safe deep reinforcement learning for intraoperative planning of pedicle screw placement. - Yunke Ao; Hooman Esfandiari; Fabio Carrillo; Christoph J. Laux; Yarden As; Ruixuan Li 003; Kaat Van Assche; Ayoob Davoodi; Nicola Alessandro Cavalcanti; Mazda Farshad; Benjamin F. Grewe; Emmanuel B. Vander Poorten; et al. (Medical Image Anal., 2025)

Robust-Sub-Gaussian Model Predictive Control for Safe Ultrasound-Image-Guided Robotic Spinal Surgery. - Yunke Ao; Manish Prajapat; Yarden As; Yassine Taoudi-Benchekroun; Fabio Carrillo; Hooman Esfandiari; Benjamin F. Grewe; Andreas Krause 001; Philipp Fürnstahl (CoRR, 2025)