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ETRO is present @ Knowledge for Growth 2020 27.05.2020

Feel like joining the Belgian life sciences community on May 27th (state of the union) & May 28th (knowledge for growth), together with 1300+ actors from 600+ companies & organisations?

Visit the VUB-TTO Flanders lounge and discover the R2B pitch sessions and Academic Showcases. Besides a presentation by µFlow, ETRO will demonstrate two academic showcases on FLT imaging using Nanobodies: effective tool for life sciences and medical applications (NLITE) and on Computer games for physical rehabilitation

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Webinar series on the AI, Data & COVID19 15.05.2020

The VUB AI Experience Centre launches a webinar series with 4 sessions all of which shares insights by experts about recent efforts to fight COVID-19. The series will kick off Monday May 11, 2020: 11.00-12.00.
In the wake of the Corona crisis, scientific research groups of various fields have committed themselves to help key players in the healthcare, the economy, or policy makers. As the AI Experience Centre comprises four different multidisciplinary research groups (among others the ETRO dept.), some of our affiliated researchers have also been heavily involved in creating solutions for the different challenges our society was recently faced with. As such, the Centre found itself in a unique position since it has had a front row seat to witness the AI driven challenges our scientists worked on. During the webinar series the audience can learn about the key take-aways from the crisis across several sectors.
The third session with Prof. dr. Jef Vandemeulebroucke (ETRO) will talk about CT Lung Image Analysis and AI. Together with UZ Brussels colleague prof. dr. Johan De Mey, both will also discuss the technological and functional challenges both encountered at UZ Brussels when applying AI techniques in this emergency context. This takes place Friday May 15, 11.00 – 12.00.

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icolung for chest CT in COVID-19 receives CE-marking 29.04.2020

icolung is a cloud-based AI software, developed by researchers of ETRO-VUB, and ESAT-PSI of KU Leuven, to quantify disease burden in COVID-19 patients on non-contrast chest CT. icolung quantifies total and regional lesion burden and returns a concise report and annotated images directly into the hospital PACS, within 10 min. icolung is the result of an ongoing collaboration, further improvements and developments of the icolung algorithm are automatically deployed to all users via the cloud. The icolung software seamlessly integrates into the hospital PACS and is currently offered pro bono.

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“A Range-Independent Disparity-Based Calibration Model for Structured Light Pattern-Based RGBD Sensor”

In Sensors

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“Evaluating several ways to combine handcrafted features-based system with a deep learning system using the LUNA16 Challenge framework”

In SPIE Medical Imaging 2020

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“The Pipeline Performance Model: A Generic Executable Performance Model for GPUs”

In PDP 2019

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“Speckle Denoising of Computer-Generated Macroscopic Holograms”

In Digital Holography and Three-Dimensional Imaging 2019

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“A 5ps resolution, 8.6ns delay range digital delay line using combinatorial redundancy”

In 15th Conference on PhD Research in Microelectronics and Electronics

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La caméra qui détecte l'invisible pour l'homme

Le Soir


Imec toont tech voor de toekomst (Holografie, hdr-conversie, organs-on-a-chip)

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