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  • team
  • department
  • center
  • program_project
  • nrc
  • whocc
  • project
  • software
  • tool
  • patent
  • Administrative Staff
  • Assistant Professor
  • Associate Professor
  • Clinical Research Assistant
  • Clinical Research Nurse
  • Clinician Researcher
  • Department Manager
  • Dual-education Student
  • Full Professor
  • Honorary Professor
  • Lab assistant
  • Master Student
  • Non-permanent Researcher
  • Nursing Staff
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Prize
  • Project Manager
  • Research Associate
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
  • Director of Institute
  • Director of National Reference Center
  • Group Leader
  • Head of Facility
  • Head of Operations
  • Head of Structure
  • Honorary President of the Departement
  • Labex Coordinator
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Scientific Fields
Diseases
Organisms
Applications
Technique
Date
29
Feb 2024
Time
14:00:00
28 Rue du Docteur Roux, Paris, France
Address
Building: Amphitheatre DUCLAUX
Location
2024-02-29 14:00:00 2024-02-29 17:00:00 Europe/Paris HDR: Mohamed El Beheiry The emergence of new display technologies, analyses and data types encourages the need within scientific and medical communities to streamline the interpretation of multidimensional visual data such as point clouds (\eg localization microscopy, single-particle […] 28 Rue du Docteur Roux, Paris, France Jean-Baptiste Masson jean-baptiste.masson@pasteur.fr

About

The emergence of new display technologies, analyses and data types encourages the need within scientific and medical communities to streamline the interpretation of multidimensional visual data such as point clouds (\eg localization microscopy, single-particle tracking) and image stacks (\eg confocal microscopy, computed tomography and magnetic resonance imaging). Visual data stakeholders require interactive and adapted means for understanding their data. For this reason, despite the consequential progress of automated algorithms, manual intervention — to different degrees — remains a critical step for data interpretation. Interpretation frameworks meet the needs of users by providing an ensemble of tools, functions and visual readouts to grant insights of the data under study. Ultimately, the end of goal is to validate or invalidate hypotheses and, in so doing, inform decisions being made.

This thesis surveys multiple data interpretation frameworks, with corresponding case studies, where the user intervenes in \textit{human-in-the-loop}-inspired configurations. The discussed tools encompass advanced 3D visualization, virtual reality, Bayesian inference and one-shot learning. Prospective research and development topics to expand the uses, accessibility and performance of these frameworks in scientific and clinical settings are discussed.

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Location

Building: Amphitheatre DUCLAUX
Address: 28 Rue du Docteur Roux, Paris, France