Srđan Lazendić
PhD student and assistant
| Valentin Penaud-Polge | Finsler geometry approach to Beltrami framework for image processing (2019/2020) |
| Jens Janssens | Demystifying convolutional neural networks using sparse coding: application to medical image segmentation (2020/2021) |
| Joren Vercruysse | Beschrijvingen van conforme transformaties met geometrische algebra's (2020/2021) |
| Simon Schoonjans | Multimodal image registration using deep reinforcement learning (2021/2022) |
| Nigel Mestach | U-Net Architecture for the Detection of Cracks in Panel Paintings (2021/2022) |
| Axel Jové Lettens | Deep Active Learning Strategies for Paint Loss Detection (2021/2022) |
| Pieter-Jan Vandaele | Classical coding approaches to quantum applications (2021/2022) |
| Régis Schulze | Classical and quantum approaches to belief propagation algorithms: application to communications (2021/2022) |
| Matthias Mertens | Quaternionisch schaars representatiemodel: toepassing op demosaicing van kleurenafbeeldingen (2021/2022) |
| Nick Van Osta | Neuro-Evolutionary Deep Reinforcement Learning for Robotic Control (2021/2022) |
| Thiebe Stegen | Deep Subspace Clustering for Hyperspectral Images (2021/2022) |
| Roel Huysentruyt | Geometric Deep Learning Model for Detection of Knee Osteoarthritis (2022/2023) |
| Emiel Moerman | Interpretable Deep Learning Models and Deep Unrolling (2022/2023) |
| Bert Van hauwermeiren | Neuro-Evolutionary Deep Reinforcement Learning for Robotic Control (2022/2023) |
| Stijn Dezeure | Quantum computing: with applications to image processing (2022/2023) |
| Henri Vandendorpe | Unsupervised analysis of microscopic images from metallurgical research via AI (2022/2023) |