Domain Adaptation for Microscopy Imaging

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Over the last two decades, Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI) has been developed as a powerful MR imaging modality that allows estimating non-invasively the microscopic structure of biological tissues by exploiting the natural motion of ...

Domain Adaptation for Microscopy Imaging

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Enhancing skin lesion classification: a CNN approach with human baseline comparison

Aggregating Spatial and Photometric Context for Photometric Stereo

On the added value of sequential deep learning for the upscaling of evapotranspiration

The multimodality cell segmentation challenge: toward universal solutions

Machine learning-enabled estimation of cardiac output from peripheral waveforms is independent of blood pressure measurement location in an in silico population

Compact and effective photon-resolved image scanning microscope

Integer Linear Programming for Unsupervised Training Set Selection in Molecular Machine Learning

Understanding generalization and robustness in modern deep learning

Adapting Fine-Grained Cross-View Localization to Areas Without Fine Ground Truth

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

A Study on Quantum Graph Neural Networks Applied to Molecular Physics

Robust machine learning for neuroscientific inference

Retrieval of Surface Solar Radiation through Implicit Albedo Recovery from Temporal Context

Topics in statistical physics of high-dimensional machine learning

Combining physics-based and data-driven models: advancing the frontiers of research with scientific machine learning

Application of Deep Learning and Geospatial Analysis in Soil Loss Risk in the Moulouya Watershed, Morocco

Incorporating Projective Geometry into Deep Learning

Neural Garment Modeling

Surface passivation and functionalisation for mass photometry

Simulation-based Microstructure Imaging: Towards Realistic White Matter Modeling using Monte Carlo Methods in DW-MRI