Simon Flyvbjerg Nørrelykke

This paper introduces a computational pipeline combining image processing and machine learning to segment and quantify kidney tissue structures using Normalized Raman Imaging, achieving high segmentation performance.

This paper introduces NoRI, a Raman imaging technique that enables quantitative, label-free analysis of kidney tissue, revealing sex-specific differences and dynamic changes in acute kidney injury.

The paper introduces an image analysis pipeline to quantify spatial biomarker distributions in stroma-rich tumors using open-source tools and custom scripts.

This paper develops an Fc-SPINK1 fusion protein that reduces pancreatic inflammation in mice by extending its half-life and inhibiting trypsin activity.

This study identifies NDRG1 as a DNA repair protein that links pancreatic cancer stroma to chemoresistance by enhancing DNA damage repair through R-loop resolution.

The paper introduces crefDenoiser, a self-supervised denoising model that improves the quality of 3D cryo-EM maps by amplifying signals and reducing noise.