Search

Pages

1. Convolutional neural network for blood vessel segmentation : 2D and 3D architectures

   By : Henry de Frahan, Mathilde[UCL] Directed by : De Vleeschouwer, Christophe[UCL] Macq, Benoît[UCL] (2021) Ecole polytechnique de Louvain

2. Automatic segmentation of the lumbosacral spinal cord

   By : De Broux, Nikita[UCL] Directed by : Macq, Benoît[UCL] Jankovski, Aleksandar[UCL] (2021) Ecole polytechnique de Louvain

3. Deep Learning in mammography

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

4. 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

5. Joint optimization of mega-image compression and detection by deep learning

   By : Leconte, Cyril[UCL] Directed by : Macq, Benoît[UCL] (2023) Ecole polytechnique de Louvain

6. Connectivity studies through MRI for alcohol dependent patients to identify biomarkers

   By : Dubois, Camille[UCL] Directed by : Macq, Benoît[UCL] Dricot, Laurence[UCL] (2023) Ecole polytechnique de Louvain

7. Using graph cuts for anatomical priors to segment Pulmonary Embolus : label generation for deep model training

   By : Verschuren, Robin[UCL] Directed by : Macq, Benoît[UCL] De Vleeschouwer, Christophe[UCL] (2023) Ecole polytechnique de Louvain

8. Deep learning in mammography

   By : De Bueger, Fanny[UCL] Decroës, Marie[UCL] Directed by : Macq, Benoît[UCL] (2022) Ecole polytechnique de Louvain

9. Tumor tracking using Kalman filter on Fast MRI images

   By : Ghislain, Mélanie[UCL] Godelaine, Tiffanie[UCL] Directed by : Macq, Benoît[UCL] (2022) Ecole polytechnique de Louvain

10. Fault-tolerant crossroad multi-tracking in urban areas

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

Pages