Six problems for SWI 2025 #SWI2025
We are very pleased to announce six problems for SWI 2025, contributed by Scientific Volume Imaging, JASCO Applied Sciences, Statistics Netherlands (CBS), University Medical Center Utrecht, Dutch National institute of Public Health and the Environment (RIVM), and Sanofi.
- Scientific Volume Imaging (SVI): “Analyzing photon limited fluorescence lifetime”
In this problem, which is encountered in super-resolution optical microscopy imaging, the aim is to estimate parameters of a certain stochastic process with exponential decays. A detailed problem description will follow soon.
- JASCO Applied Sciences: “Merging patches of underwater acoustic data with low-resolution background”
In this problem, which arises in underwater acoustics, computational geometry and interpolation techniques are used to combine spatial data from various sources. A full description is available here.
- Statistics Netherlands (CBS): “A framework to select data annotators for training ML models”
This is a statistical problem about designing sampling protocols for selecting human annotators that preprocess travel history data used for training machine learning models. Please see here for further information.
- University Medical Center Utrecht (UMCU) “Inferring deformation fields and other dynamical information from MRI measurements”
This problem aims to infer deformation fields directly from raw MRI measurements in the frequency domain by solving an inverse problem. Deformation fields are essential for a-posteriori analysis, serving as the starting point for inferring other mechanical parameters such as stress and strain on the body. All details can be found here.
- Dutch National institute of Public Health and the Environment (RIVM) “Detecting improbable samples in epidemiological wastewater surveillance”
This problem occurs in the surveillance of wastewater flows for epidemiological events. The goal is to develop a fast, reliable, and interpretable process to identify improbable sample values, while taking the underlying, potentially unknown, epidemiological situation into account. More details are available here.
The description of the sixth problem, contributed by Sanofi, will follow soon.