CRC 1450 Z01 - Interactive and computational analysis of large multiscale imaging data
Basic data for this project
Type of project: Subproject in DFG-joint project hosted at University of Münster
Duration at the University of Münster: 01/01/2021 - 31/12/2024 | 1st Funding period
Description
The multiscale imaging strategy central to this initiative imposes novel data analysis challenges. The high complexity of the acquired data results from their nature of being volumetric, time-varying, large, multiscale, and forming cohorts. Meeting these challenges requires basic research in the fields of image analysis, machine learning, and visualization. Machine learning will be used to uncover inherent relationships between patterns at multiple scales. An interactive visual approach supports the user-centric analysis of detected features. The deliverable of this project will be generally applicable, effective, and efficient methods supporting the overall goal of multiscale data analysis.
Keywords: Image analysis; Medicine; Artificial Intelligence; Maschine Learning
Website of the project: https://www.uni-muenster.de/CRC-inSight/research/central-projects/Z01.php
Funding identifier: SFB 1450/1, Z01
Funder / funding scheme:
- DFG - Collaborative Research Centre (SFB)
Project management at the University of Münster
| Jiang, Xiaoyi | Professur für Praktische Informatik (Prof. Jiang) |
| Linsen, Lars | Professorship for Practical Computer Science (Prof. Linsen) |
Applicants from the University of Münster
| Jiang, Xiaoyi | Professur für Praktische Informatik (Prof. Jiang) |
| Linsen, Lars | Professorship for Practical Computer Science (Prof. Linsen) |