“Signal Processing in the AI era” was the tagline of this year’s IEEE International Conference on Acoustics, Speech and Signal Processing, taking place in Rhodes, Greece.
In this context, Brent de Weerdt, Xiangyu Yang, Boris Joukovsky, Alex Stergiou and Nikos Deligiannis presented ETRO’s research during poster sessions and oral presentations, with novel ways to process and understand graph, video, and audio data. Nikos Deligiannis chaired a session on Graph Deep Learning, attended the IEEE T-IP Editorial Board Meeting, and had the opportunity to meet with collaborators from the VUB-Duke-Ugent-UCL joint lab.
Featured articles:
- De Weerdt, B. et al., “Designing Transformer Networks for Sparse Recovery of Sequential Data Using Deep Unfolding” (https://ieeexplore.ieee.org/abstract/document/10094712)
- Yang X. et al., “Relevance Propagation through Deep Conditional Random Fields” (https://ieeexplore.ieee.org/abstract/document/10095075)
- Stergiou A. et al., “Play it back: Iterative attention for audio recognition” (https://ieeexplore.ieee.org/abstract/document/10096532, developed at the University of Bristol)
An ETRO team participated in the 2nd COV19D Competition of the AIMIA Workshop at #ECCV2022 (https://mlearn.lincoln.ac.uk/eccv-2022-ai-mia/). This 2nd COV19D Competition included two Challenges: i) COVID19 Detection and ii) COVID19 Severity Detection. Our team with Abel DĂaz, Tanmoy Mukherjee, MatĂas Bossa, Nikos Deligiannis, Hichem Sahli, and the IT support of Luc van Kempen submitted a solution that beat the Competition’s baseline on both challenges!
The figure illustrates the used method.
- Marc Nyssen takes over the coordination of the unit MINF in the faculty of Medicine.
- Second PhD in biomedical engineering – Jan Cornelis.
PROJECT: INTOWALL: detection of leaks and isolation in walls
Our buildings generate 35% of the CO2-emissions and 40% of the energy use. 75% of our buildings need to be energetically renovated. In order to do so, one needs to know what the status is of the current isolation, and if there are any water leaks. The Vrije Universiteit Brussel researches with a consortium of partners towards a unique, patented technique to look into the walls without breaking them. With a compact and mobile radar system you can “read” your walls. This project is part of the Smart Hub Cleantech, climate ambitions of the province and the communes.
Partners: Vrije Universiteit Brussel i.s.m. WTCB, Green Energy Park, BAM, ING, Flux50 en Alter Reim.
4D CT scanners add the dimension of time to three-dimensional images and visualise the movement of the heart in detail. The imec.icon project DIASTOLE, involving VUB, UZ Brussel and imec, is paving the way to safely implement 4D scans in heart surgery.
Researchers from the radiology department of VUB-UZ Brussel developed a model to calculate the radiation dose of 4D scans on the skin, and immediately applied it to draw up a safe protocol. For a usable 4D scan, on the one hand the quality has to be sufficient, on the other hand you want to avoid the radiation dose being too high at certain places on the body. Unlike classic CT scans, a 4D scan repeatedly irradiates the same region of the body, so we need to specifically monitor the dose to the skin.
https://press.vub.ac.be/cardiology-prepared-for-the-fourth-dimension
Lesley De Cruz was interviewed on AI methods for precise and short term prediction of weather / precipication https://radio1.be/luister/select/de-wereld-vandaag/nieuw-model-kan-regen-tot-twee-uur-op-voorhand-zeer-accuraat-voorspellen-mijlpaal-in-de-weersvoorspelling
It is possible to perform the preparatory program in parallel with the master program and does not add study duration to the 2-year master program if you choose to do so.