no code implementations • 25 Mar 2024 • Jonas Hein, Frederic Giraud, Lilian Calvet, Alexander Schwarz, Nicola Alessandro Cavalcanti, Sergey Prokudin, Mazda Farshad, Siyu Tang, Marc Pollefeys, Fabio Carrillo, Philipp Fürnstahl
In this paper, we present a proof of concept (PoC) for surgery digitalization that is applied to an ex-vivo spinal surgery performed in realistic conditions.
no code implementations • 29 Jan 2024 • Sascha Jecklin, Youyang Shen, Amandine Gout, Daniel Suter, Lilian Calvet, Lukas Zingg, Jennifer Straub, Nicola Alessandro Cavalcanti, Mazda Farshad, Philipp Fürnstahl, Hooman Esfandiari
Recently, our work X23D showed an approach for generating 3D anatomical models of the spine from only a few intraoperative fluoroscopic images.
1 code implementation • 2 Dec 2023 • Baptiste Brument, Robin Bruneau, Yvain Quéau, Jean Mélou, François Bernard Lauze, Jean-Denis, Jean-Denis Durou, Lilian Calvet
This paper introduces a versatile paradigm for integrating multi-view reflectance (optional) and normal maps acquired through photometric stereo.
no code implementations • 5 May 2023 • Jonas Hein, Nicola Cavalcanti, Daniel Suter, Lukas Zingg, Fabio Carrillo, Lilian Calvet, Mazda Farshad, Marc Pollefeys, Nassir Navab, Philipp Fürnstahl
Third, we evaluate three state-of-the-art single-view and multi-view methods for the task of 6DoF pose estimation of surgical instruments and analyze the influence of camera configurations, training data, and occlusions on the pose accuracy and generalization ability.
1 code implementation • 23 Jun 2016 • Lilian Calvet, Pierre Gurdjos, Carsten Griwodz, Simone Gasparini
Using fiducial markers ensures reliable detection and identification of planar features in images.
no code implementations • CVPR 2016 • Lilian Calvet, Pierre Gurdjos, Carsten Griwodz, Simone Gasparini
Using fiducial markers ensures reliable detection and identification of planar features in images.