Srđan Lazendić

Postdoctoral Assistant and Researcher

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Master thesis students

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)
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	Lower Limb Bone Segmentation through Deep Learning and Neural Flow Based Data Augmentation (2022/2023)
Emiel Moerman	Accelerated MRI Reconstruction using Deep Unrolled Compressed Sensing Algorithms (2022/2023)
Bert Van hauwermeiren	A hierarchical approach to transfer learning in multi-agent reinforcement learning (2022/2023)
Stijn Dezeure	Moving Towards Practical Quantum Decoders for the Classical-Quantum Channel (2022/2023)
Henri Vandendorpe	Uncovering Patterns in Microscopic Images from Metallurgical Research with Unsupervised Learning Algorithms (2022/2023)