Deep learning approaches to short term traffic forecasting: Capturing the spatial temporal relation in historic traffic data

Deep Generative Design: A Deep Learning Framework for Optimized Spatial Truss Structures with Stock Constraints

Does text matter?: Extending CLIP with OCR and NLP for image classification and retrieval

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

Feature extraction and classification on heart rate time series for cardiovascular diseases

Contrast-agnostic groupwise registration by robust PCA for quantitative cardiac MRI

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

Segmentation of Deep Inferior Epigastric Artery Perforators for Breast Reconstruction using Deep Learning in Computed Tomography Angiography: A Quantitative and Qualitative Evaluation

cGANs for multispectral snow extent analysis in the Alps

Multi-class Trajectory Prediction in Urban Traffic using the View-of-Delft Dataset

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

Detecting Fog using Machine Learning and Investigating the Possibilities of Generating Synthetic Data

Classification of primary liver tumors with radiomics and deep learning based on multiphasic MRI

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

Extracting insights from black box neural networks for network-wide traffic predictions

Spatio-temporal embedding in deep learning for algal bloom forecasting

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

Estimating Wind Fields Using Physically Inspired Neural Networks With Aircraft Surveillance Data

Physics-informed Data Augmentation for Human Radar Signatures

Floor count from street view imagery using learning-based façade parsing