Emmanuel Soubies
Scholar

Emmanuel Soubies

Google Scholar ID: OouTPC0AAAAJ
CNRS, IRIT, Signal & Communications Group
Inverse ProblemsComputational ImagingOptimization
Citations & Impact
All-time
Citations
886
 
H-index
14
 
i10-index
16
 
Publications
20
 
Co-authors
49
list available
Resume (English only)
Research Experience
  • - Since 2019, CNRS researcher, Signal & Communications Group, IRIT Laboratory
  • - 2016-2018, Postdoctoral researcher, Biomedical Imaging Group, EPFL, Directed by: Michael Unser
Education
  • - PhD, 2013-2016, Morpheme team (INRIA/CNRS/UNS), Supervisors: Laure Blanc-Féraud, Sébastien Schaub, and Gilles Aubert
Background
  • - Research Interests: Inverse problems in imaging and Sparse optimization
  • - Keywords: Inverse problems, Large-scale convex and non-convex optimization, Sparse modeling, Machine learning, Neural networks, Variational methods, Optical modeling, Microscopy
  • - Imaging modalities: Widefield/confocal fluorescent microscopy, Single Molecule Localization Microscopy (SMLM), Structured Illumination Microscopy (SIM), Multi-Angle Total-Internal Reflexion Fluo (MA-TIRF), Optical Diffraction Tomography (ODT), Cryogenic Electron Microscopy (Cryo-EM), Interference Scanning Optical probe Microscopy (ISOM), Ultrasound Imaging