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Hooman Esfandiari
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2020 – today
- 2025
- [j14]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:
SafeRPlan: Safe deep reinforcement learning for intraoperative planning of pedicle screw placement. Medical Image Anal. 99: 103345 (2025) - 2024
- [j13]Tabitha Arn Roth, Moritz Jokeit, Reto Sutter, Lazaros Vlachopoulos, Sandro Fucentese, Fabio Carrillo, Jess Gerrit Snedeker, Hooman Esfandiari, Philipp Fürnstahl:
Deep-learning based 3D reconstruction of lower limb bones from biplanar radiographs for preoperative osteotomy planning. Int. J. Comput. Assist. Radiol. Surg. 19(9): 1843-1853 (2024) - [j12]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:
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery. Medical Image Anal. 91: 103027 (2024) - [j11]Sascha Jecklin, Youyang Shen, Amandine Gout, Daniel Suter, Lilian Calvet, Lukas Zingg, Jennifer Straub, Nicola Alessandro Cavalcanti, Mazda Farshad, Philipp Fürnstahl, Hooman Esfandiari:
Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data. Medical Image Anal. 98: 103322 (2024) - [i3]Sascha Jecklin, Youyang Shen, Amandine Gout, Daniel Suter, Lilian Calvet, Lukas Zingg, Jennifer Straub, Nicola Alessandro Cavalcanti, Mazda Farshad, Philipp Fürnstahl, Hooman Esfandiari:
Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data. CoRR abs/2401.16027 (2024) - 2023
- [j10]Matthias Seibold, José Miguel Spirig, Hooman Esfandiari, Mazda Farshad, Philipp Fürnstahl:
Translation of Medical AR Research into Clinical Practice. J. Imaging 9(2): 44 (2023) - [j9]Joëlle Ackermann, Armando Hoch, Jess Gerrit Snedeker, Patrick Oliver Zingg, Hooman Esfandiari, Philipp Fürnstahl:
Automatic 3D Postoperative Evaluation of Complex Orthopaedic Interventions. J. Imaging 9(9): 180 (2023) - [i2]Yunke Ao, Hooman Esfandiari, Fabio Carrillo, Yarden As, Mazda Farshad, Benjamin F. Grewe, Andreas Krause, Philipp Fürnstahl:
Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement. CoRR abs/2305.05354 (2023) - [i1]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:
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery. CoRR abs/2308.02917 (2023) - 2022
- [j8]Sascha Jecklin, Carla Jancik, Mazda Farshad, Philipp Fürnstahl, Hooman Esfandiari:
X23D - Intraoperative 3D Lumbar Spine Shape Reconstruction Based on Sparse Multi-View X-ray Data. J. Imaging 8(10): 271 (2022) - 2021
- [j7]Florentin Liebmann, Dominik Stütz, Daniel Suter, Sascha Jecklin, Jess Gerrit Snedeker, Mazda Farshad, Philipp Fürnstahl, Hooman Esfandiari:
SpineDepth: A Multi-Modal Data Collection Approach for Automatic Labelling and Intraoperative Spinal Shape Reconstruction Based on RGB-D Data. J. Imaging 7(9): 164 (2021) - [c1]Joëlle Ackermann, Matthias Wieland, Armando Hoch, Reinhold Ganz, Jess Gerrit Snedeker, Martin R. Oswald, Marc Pollefeys, Patrick Oliver Zingg, Hooman Esfandiari, Philipp Fürnstahl:
A New Approach to Orthopedic Surgery Planning Using Deep Reinforcement Learning and Simulation. MICCAI (4) 2021: 540-549 - 2020
- [j6]Luke Haliburton, Hooman Esfandiari, Pierre Guy, Carolyn Anglin, Antony J. Hodgson:
A visual odometry base-tracking system for intraoperative C-arm guidance. Int. J. Comput. Assist. Radiol. Surg. 15(10): 1597-1609 (2020)
2010 – 2019
- 2019
- [j5]Hooman Esfandiari, Carolyn Anglin, Pierre Guy, John Street, Simon Weidert, Antony J. Hodgson:
A comparative analysis of intensity-based 2D-3D registration for intraoperative use in pedicle screw insertion surgeries. Int. J. Comput. Assist. Radiol. Surg. 14(10): 1725-1739 (2019) - 2018
- [j4]Robyn Newell, Hooman Esfandiari, Carolyn Anglin, Renee Bernard, John Street, Antony J. Hodgson:
An intraoperative fluoroscopic method to accurately measure the post-implantation position of pedicle screws. Int. J. Comput. Assist. Radiol. Surg. 13(8): 1257-1267 (2018) - [j3]Hooman Esfandiari, Robyn Newell, Carolyn Anglin, John Street, Antony J. Hodgson:
A deep learning framework for segmentation and pose estimation of pedicle screw implants based on C-arm fluoroscopy. Int. J. Comput. Assist. Radiol. Surg. 13(8): 1269-1282 (2018) - [j2]Ting On Chan, Derek D. Lichti, Adam Jahraus, Hooman Esfandiari, Hervé Lahamy, Jeremy Steward, Matthew Glanzer:
An Egg Volume Measurement System Based on the Microsoft Kinect. Sensors 18(8): 2454 (2018) - 2016
- [j1]Hooman Esfandiari, Shahram Amiri, Derek D. Lichti, Carolyn Anglin:
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. 11(4): 621-633 (2016)
Coauthor Index
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