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1. Deep Learning in mammography

   By : Zanella, Maxime[UCL] Directed by : Macq, Benoît[UCL] (2021) Ecole polytechnique de Louvain

2. Is it possible to identify anxiety, depression and/or alcoholism from EEG (resting EEG and event related potentials) and structural MRI data using machine learning algorithms?

   By : Gillain, Jean[UCL] Directed by : Macq, Benoît[UCL] (2021) Ecole polytechnique de Louvain

3. Efficient transport of video in the home of tomorrow

   By : De Vogeleer, Louis[UCL] Directed by : Macq, Benoît[UCL] Legat, Jean-Didier[UCL] (2021) Ecole polytechnique de Louvain

4. JPEG2000 image compression for deep learning of convolutional neural networks

   By : Masy, Maxime[UCL] Directed by : Macq, Benoît[UCL] (2021) Ecole polytechnique de Louvain

5. Real time parsimonious tumour tracking on X-ray images using reinforcement learning

   By : Little, Nathan[UCL] Directed by : Macq, Benoît[UCL] (2021) Ecole polytechnique de Louvain

6. Domain-To-Text : improving domain generalization using natural language

   By : Van den Broeck, Martial[UCL] Directed by : Macq, Benoît[UCL] (2023) Ecole polytechnique de Louvain

7. Deployment of a GAN architecture to improve the realism of an urban traffic network

   By : Moutier, Laurent[UCL] Directed by : Macq, Benoît[UCL] (2022) Ecole polytechnique de Louvain

8. Prefetching and caching strategies with JPEG-XS : a case study for Virtual Reality Headsets

   By : Launois, Julien[UCL] Directed by : Macq, Benoît[UCL] Legat, Jean-Didier[UCL] (2022) Ecole polytechnique de Louvain

9. Experimental setup for collaborative robots using RaspberryPi scale model cars

   By : Claude, Xavier[UCL] Directed by : Macq, Benoît[UCL] (2022) Ecole polytechnique de Louvain

10. Deep learning-based image classification for autonomous vehicles and training by Unreal Engine

    By : Nardi, Céline[UCL] Directed by : Macq, Benoît[UCL] (2022) Ecole polytechnique de Louvain

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