1.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nantes UniversitéFR597 papers
- Laboratoire de Physique Subatomique et des Technologies AssociéesFR563 papers
- Centre National de la Recherche ScientifiqueFR555 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR455 papers
- Institut Pluridisciplinaire Hubert CurienFR315 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di BolognaIT313 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR310 papers
- Université Paris-SaclayFR295 papers
- GSI Helmholtz Centre for Heavy Ion ResearchDE285 papers
- National Institute for Subatomic PhysicsNL284 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT276 papers
- Institut de Recherche sur les Lois Fondamentales de l'UniversFR274 papers
4 papers · 2 filters
Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in MR images
Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin +1
This paper proposes an automatic method for scapula bone segmentation from Magnetic Resonance (MR) images using deep learning. The purpose of this work is to incorporate anatomical…
Coarse-to-Fine Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes
Thanh Huy Nguyen, Sylvie Daniel, Didier Gueriot +2
Applications based on synergistic integration of optical imagery and LiDAR data are receiving a growing interest from the remote sensing community. However, a misaligned integratio…
Spectral Variability Aware Blind Hyperspectral Image Unmixing Based on Convex Geometry
Lucas Drumetz, Jocelyn Chanussot, Christian Jutten +2
Hyperspectral image unmixing has proven to be a useful technique to interpret hyperspectral data, and is a prolific research topic in the community. Most of the approaches used to…
Spectral Unmixing: A Derivation of the Extended Linear Mixing Model from the Hapke Model
Lucas Drumetz, Jocelyn Chanussot, Christian Jutten
In hyperspectral imaging, spectral unmixing aims at decomposing the image into a set of reference spectral signatures corresponding to the materials present in the observed scene a…