Bart De Moor

This paper develops AdventML, a model for predicting enzyme optimal temperature using transformer embeddings and resampling, achieving R2 ~0.64 and improved extreme temperature predictions.

CLEAR-AF improves autofluorescence subtraction in multiplexed tissue imaging by using polar transformation and Gaussian Mixture Models, enhancing specificity, sensitivity, and reproducibility.

QUAL-IF-AI is a deep learning tool that detects and manages artifacts in multiplex immunofluorescence images, achieving high accuracy and IoU across common artifact types.

This paper uses deep learning to improve clustering of mass spectrometry imaging data by transforming ion images into neural ion images, resulting in more consistent and fine-grained spatial clusters.

This paper introduces a data fusion method that integrates spatial omics and microscopic data to visualize molecular trends at cellular resolution.