52 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ZurichCH15 papers
- ETH ZurichCH11 papers
- University Hospital ZurichCH7 papers
- Technical University of MunichDE5 papers
- Institute for BiomechanicsCH3 papers
- Bern University of Applied SciencesCH2 papers
- King's College LondonGB2 papers
- University College LondonGB2 papers
- University of BaselCH2 papers
- Alberta Bone and Joint Health InstituteCA1 paper
- Brno University of TechnologyCZ1 paper
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR1 paper
5 papers · 1 filter
RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction
Baptiste Brument, Robin Bruneau, Yvain Quéau +5
This paper introduces a versatile paradigm for integrating multi-view reflectance (optional) and normal maps acquired through photometric stereo. Our approach employs a pixel-wise…
ORMIR_XCT: A Python package for high resolution peripheral quantitative computed tomography image processing
Michael T. Kuczynski, Nathan J. Neeteson, Kathryn S. Stok +9
High resolution peripheral quantitative computed tomography (HR-pQCT) is an imaging technique capable of imaging trabecular bone in-vivo. HR-pQCT has a wide range of applications,…
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery
Florentin Liebmann, Marco von Atzigen, Dominik Stütz +10
Established surgical navigation systems for pedicle screw placement have been proven to be accurate, but still reveal limitations in registration or surgical guidance. Registration…
Synthetic white balancing for intra-operative hyperspectral imaging
Anisha Bahl, Conor C. Horgan, Mirek Janatka +10
Hyperspectral imaging shows promise for surgical applications to non-invasively provide spatially-resolved, spectral information. For calibration purposes, a white reference image…
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
Francesco Santini, Jakob Wasserthal, Abramo Agosti +11
Purpose: To present and evaluate Dafne (deep anatomical federated network), a freely available decentralized, collaborative deep learning system for the semantic segmentation of ra…