no code implementations • 19 Oct 2023 • William Ndzimbong, Cyril Fourniol, Loic Themyr, Nicolas Thome, Yvonne Keeza, Beniot Sauer, Pierre-Thierry Piechaud, Arnaud Mejean, Jacques Marescaux, Daniel George, Didier Mutter, Alexandre Hostettler, Toby Collins
To validate the dataset's utility, 5 competitive Deep Learning models for automatic kidney segmentation were benchmarked, yielding average DICE scores from 83. 2% to 89. 1% for CT, and 61. 9% to 79. 4% for US images.
no code implementations • 15 Dec 2022 • Loic Themyr, Clement Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler
In particular, vision transformers construct compressed global representations through self-attention and learnable class tokens.
no code implementations • 11 Oct 2022 • Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler
Transformer models achieve state-of-the-art results for image segmentation.
1 code implementation • Medical Image Analysis 2022 • Francesco Bardozzo, Toby Collins, Antonello Forgione, Alexandre Hostettler, Roberto Tagliaferri
Accurate and real-time methodologies for a non-invasive three-dimensional representa-tion and reconstruction of internal patient structures is one of the main research fieldsin computer-assisted surgery and endoscopy.
no code implementations • 30 Oct 2020 • Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park, Carla Pugh, Danail Stoyanov, Swaroop S. Vedula, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor Grantcharov, Makoto Hashizume, Doreen Heckmann-Nötzel, Hannes G. Kenngott, Ron Kikinis, Lars Mündermann, Nassir Navab, Sinan Onogur, Raphael Sznitman, Russell H. Taylor, Minu D. Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Justin Collins, Ines Gockel, Jan Goedeke, Daniel A. Hashimoto, Luc Joyeux, Kyle Lam, Daniel R. Leff, Amin Madani, Hani J. Marcus, Ozanan Meireles, Alexander Seitel, Dogu Teber, Frank Ückert, Beat P. Müller-Stich, Pierre Jannin, Stefanie Speidel
We further complement this technical perspective with (4) a review of currently available SDS products and the translational progress from academia and (5) a roadmap for faster clinical translation and exploitation of the full potential of SDS, based on an international multi-round Delphi process.
no code implementations • 19 Nov 2018 • David Fuentes-Jimenez, David Casillas-Perez, Daniel Pizarro, Toby Collins, Adrien Bartoli
Compared to previous non-DNN SfT methods, it does not involve numerical optimization at run-time, and is a dense, wide-baseline solution that does not demand, and does not suffer from, feature-based matching.
no code implementations • ICCV 2017 • Mathias Gallardo, Toby Collins, Adrien Bartoli
Significant progress has been recently made in Non-Rigid Structure-from-Motion (NRSfM).
no code implementations • 25 May 2017 • Nader Mahmoud, Alexandre Hostettler, Toby Collins, Luc Soler, Christophe Doignon, J. M. M. Montiel
In this paper, a quasi dense reconstruction algorithm of surgical scene is proposed.
no code implementations • CVPR 2016 • Ajad Chhatkuli, Daniel Pizarro, Toby Collins, Adrien Bartoli
We show for the first time how to construct a Second-Order Cone Programming (SOCP) problem for Non-Rigid Shape-from-Motion (NRSfM) using the Maximum-Depth Heuristic (MDH).
no code implementations • ICCV 2015 • Shaifali Parashar, Daniel Pizarro, Adrien Bartoli, Toby Collins
Volumetric SfT uses the object's full volume to express the deformation constraints and reconstructs the object's surface and interior deformation.
no code implementations • CVPR 2015 • Mathias Gallardo, Daniel Pizarro, Adrien Bartoli, Toby Collins
We focus on isometric deformations, for which 2DSfT is a well-posed problem, and admits an analytical local solution which may be used to initialize nonconvex refinement.
no code implementations • CVPR 2013 • Adrien Bartoli, Toby Collins
We propose (i) a general variational framework that applies to (calibrated and uncalibrated) general camera models and (ii) self-calibrating 3D reconstruction algorithms for the weak-perspective and full-perspective camera models.