DeTaiL
Training & innovation in tensor-based AI methods for biomedical signals
Undoubtedly, we live in the era of big data. Real life data - in the biomedical field and beyond - often comes high-dimensional. Current signal processing solutions artificially segment such high-dimensional data into shorter one- or two-dimensional arrays, causing information loss by destroying correlations between these data. At the same time, advances in (biomedical) sensor and imaging technology – such as substantially larger recording durations of wearable sensor technology or the unprecedented increase in spatial and temporal resolution of the latest neuroimaging techniques – have led to ever increasing data sets. Tensors (multi-dimensional arrays) are the data structure of choice in artificial intelligence research to exploit the full potential of these data in a timely manner.
Within the DeTAIL Lab, we focus on both the development of novel low-rank tensor methods and their application for biomedical signal processing, thereby enabling a much faster, and therefore more energy-sustainable, training of AI models from large datasets without any loss of accuracy.
The DeTAIL Lab is part of the TU Delft AI Labs programme.
The team
PhD's
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Frederiek Wesel
Faculty of ME
PhD
![](https://filelist.tudelft.nl/_processed_/f/4/csm_Memmel%2C%20Eva_0c34511c14.jpg)
Eva Memmel
Faculty of ME
PhD
Education
Courses
Master projects
Openings
Master thesis project openings related to tensor-based biomedical signal processing will be posted at the website of B. Hunyadi at the Circuits and Systems group.
Ongoing
- Energy-efficient epileptic seizure detection using EEG
- Dynamic brain network analysis using fUS
- Frequency-domain estimation of the fUS hemodynamic response
- Tensor-based independent component analysis
Finished
- Investigating brain function and anatomy through ICA-based functional ultrasound imaging
- Differentiating Task-Based Functional Ultrasound Signals via Data-Driven Decompositions
- Investigation of focal epilepsy using graph signal processing
- Analyzing Functional Ultrasound Images of the Brain Using Tensor Decompositions
Partners
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