Exploring Gravitational Waves Recordings with Machine Learning Techniques

Towards a fully distributed multivariable hydrological deep learning model with graph neural networks

Automated Carnegie Staging of the Human Embryo in 3D Ultrasound using Deep Learning

Reducing Manual Labour in Forensic Microtrace Recognition with Deep Learning

Overcoming Network Saturation in Continual Learning: A Method for Dynamic Parameter Adjustment

Deep Learning for Post-Contrast T1-Weighted Brain MRI Synthesis

Assessing the applicability of Transformer-based architectures as rainfall-runoff models

Physics-informed Data Augmentation for Human Radar Signatures

Few shot emotion recognition using intelligent voice assistants and wearables: Learning from few samples of speech and physiological signals

Modeling ray angles in deep learning based dose calculation algorithms

Short-term vessel trajectory and manoeuvre prediction: Predicting vessel trajectories including swing manoeuvres in a scoped area of the Port of Antwerp-Bruges

Operational Streamflow Drought Forecasting for the Rhine River at Lobith Using the LSTM Deep Learning Approach

Image registration for atlas-based analysis of brain regions in children with craniosynostosis

Optimizing the pump schedule of water distribution systems using a deep learning meta-model: To what extent can algorithm unrolling optimize the pump schedule of an urban water distribution system?

Extreme Precipitation Nowcasting using Transformer-based Generative models

DeepSleep: A sensor-agnostic approach towards modelling a sleep classification system

BladeNeRF: Exploiting camera constraints for NeRF in repetitive texture-less 3D reconstruction

Modelling X-Ray photon transport through a transformer-based neural network in computed tomography forward projection

Physics-Guided Deep Learning for Volumetric-Modulated Arc Therapy Treatment Planning Quality Assurance

Physics-informed machine learning for nowcasting extreme rainfall