Markus Ekvall

This paper introduces a deep learning method for spatial landmark detection and tissue registration, showing improved accuracy and stability over existing approaches.

This paper introduces a spatial multimodal analysis method that integrates histology, mass spectrometry imaging, and spatial transcriptomics to study mRNA and metabolite distributions in brain tissues.

The paper introduces a GPU-accelerated parallelization of the Green algorithm for permutation tests, significantly reducing computation time for medium sample sizes.