Hooman Esfandiari

20 papers Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust-Sub-Gaussian Model Predictive Control for Safe Ultrasound-Image-Guided Robotic Spinal Surgery. IEEE Robotics Autom. Lett. Yunke Ao, Manish Prajapat, Yarden As, Yassine Taoudi-Benchekroun, Fabio Carrillo, Hooman Esfandiari, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl
2025	J	`jnl`	Robust-Sub-Gaussian Model Predictive Control for Safe Ultrasound-Image-Guided Robotic Spinal Surgery. CoRR Yunke Ao, Manish Prajapat, Yarden As, Yassine Taoudi-Benchekroun, Fabio Carrillo, Hooman Esfandiari, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl
2025	J	`jnl`	SafeRPlan: Safe deep reinforcement learning for intraoperative planning of pedicle screw placement. Medical Image Anal. Yunke Ao, Hooman Esfandiari, Fabio Carrillo, Christoph J. Laux, Yarden As, Ruixuan Li, Kaat Van Assche, Ayoob Davoodi, Nicola Alessandro Cavalcanti, Mazda Farshad, Benjamin F. Grewe, Emmanuel B. Vander Poorten, Andreas Krause, Philipp Fürnstahl
2024	J	`jnl`	Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery. Medical Image Anal. Florentin Liebmann, Marco von Atzigen, Dominik Stütz, Julian Wolf, Lukas Zingg, Daniel Suter, Nicola Cavalcanti, Laura Leoty, Hooman Esfandiari, Jess Gerrit Snedeker, Martin R. Oswald, Marc Pollefeys, Mazda Farshad, Philipp Fürnstahl
2024	J	`jnl`	Deep-learning based 3D reconstruction of lower limb bones from biplanar radiographs for preoperative osteotomy planning. Int. J. Comput. Assist. Radiol. Surg. Tabitha Arn Roth, Moritz Jokeit, Reto Sutter, Lazaros Vlachopoulos, Sandro Fucentese, Fabio Carrillo, Jess Gerrit Snedeker, Hooman Esfandiari, Philipp Fürnstahl
2024	J	`jnl`	Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data. CoRR Sascha Jecklin, Youyang Shen, Amandine Gout, Daniel Suter, Lilian Calvet, Lukas Zingg, Jennifer Straub, Nicola Alessandro Cavalcanti, Mazda Farshad, Philipp Fürnstahl, Hooman Esfandiari
2024	J	`jnl`	Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data. Medical Image Anal. Sascha Jecklin, Youyang Shen, Amandine Gout, Daniel Suter, Lilian Calvet, Lukas Zingg, Jennifer Straub, Nicola Alessandro Cavalcanti, Mazda Farshad, Philipp Fürnstahl, Hooman Esfandiari
2023	J	`jnl`	Automatic 3D Postoperative Evaluation of Complex Orthopaedic Interventions. J. Imaging Joëlle Ackermann, Armando Hoch, Jess Gerrit Snedeker, Patrick Oliver Zingg, Hooman Esfandiari, Philipp Fürnstahl
2023	J	`jnl`	Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery. CoRR Florentin Liebmann, Marco von Atzigen, Dominik Stütz, Julian Wolf, Lukas Zingg, Daniel Suter, Laura Leoty, Hooman Esfandiari, Jess Gerrit Snedeker, Martin R. Oswald, Marc Pollefeys, Mazda Farshad, Philipp Fürnstahl
2023	J	`jnl`	Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement. CoRR Yunke Ao, Hooman Esfandiari, Fabio Carrillo, Yarden As, Mazda Farshad, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl
2023	J	`jnl`	Translation of Medical AR Research into Clinical Practice. J. Imaging Matthias Seibold, José Miguel Spirig, Hooman Esfandiari, Mazda Farshad, Philipp Fürnstahl
2022	J	`jnl`	X23D - Intraoperative 3D Lumbar Spine Shape Reconstruction Based on Sparse Multi-View X-ray Data. J. Imaging Sascha Jecklin, Carla Jancik, Mazda Farshad, Philipp Fürnstahl, Hooman Esfandiari
2021	—	`conf`	A New Approach to Orthopedic Surgery Planning Using Deep Reinforcement Learning and Simulation. MICCAI (4) Joëlle Ackermann, Matthias Wieland, Armando Hoch, Reinhold Ganz, Jess Gerrit Snedeker, Martin R. Oswald, Marc Pollefeys, Patrick Oliver Zingg, Hooman Esfandiari, Philipp Fürnstahl
2021	J	`jnl`	SpineDepth: A Multi-Modal Data Collection Approach for Automatic Labelling and Intraoperative Spinal Shape Reconstruction Based on RGB-D Data. J. Imaging Florentin Liebmann, Dominik Stütz, Daniel Suter, Sascha Jecklin, Jess Gerrit Snedeker, Mazda Farshad, Philipp Fürnstahl, Hooman Esfandiari
2020	J	`jnl`	A visual odometry base-tracking system for intraoperative C-arm guidance. Int. J. Comput. Assist. Radiol. Surg. Luke Haliburton, Hooman Esfandiari, Pierre Guy, Carolyn Anglin, Antony J. Hodgson
2019	J	`jnl`	A comparative analysis of intensity-based 2D-3D registration for intraoperative use in pedicle screw insertion surgeries. Int. J. Comput. Assist. Radiol. Surg. Hooman Esfandiari, Carolyn Anglin, Pierre Guy, John Street, Simon Weidert, Antony J. Hodgson
2018	J	`jnl`	A deep learning framework for segmentation and pose estimation of pedicle screw implants based on C-arm fluoroscopy. Int. J. Comput. Assist. Radiol. Surg. Hooman Esfandiari, Robyn Newell, Carolyn Anglin, John Street, Antony J. Hodgson
2018	J	`jnl`	An Egg Volume Measurement System Based on the Microsoft Kinect. Sensors Ting On Chan, Derek D. Lichti, Adam Jahraus, Hooman Esfandiari, Hervé Lahamy, Jeremy Steward, Matthew Glanzer
2018	J	`jnl`	An intraoperative fluoroscopic method to accurately measure the post-implantation position of pedicle screws. Int. J. Comput. Assist. Radiol. Surg. Robyn Newell, Hooman Esfandiari, Carolyn Anglin, Renee Bernard, John Street, Antony J. Hodgson
2016	J	`jnl`	A fast, accurate and closed-form method for pose recognition of an intramedullary nail using a tracked C-arm. Int. J. Comput. Assist. Radiol. Surg. Hooman Esfandiari, Shahram Amiri, Derek D. Lichti, Carolyn Anglin