Henrik Westerberg

Application of a convolutional neural network to the quality control of MRI defacing

The paper develops a convolutional neural network to automate MRI defacing quality control, reducing manual checks and improving efficiency.

MusMorph, a database of standardized mouse morphology data for morphometric meta-analyses

MusMorph provides standardized mouse morphology data for meta-analyses, including craniofacial and brain structures across developmental stages and genotypes.

Phenotyping of Klf14 mouse white adipose tissue enabled by whole slide segmentation with deep neural networks

The paper introduces DeepCytometer, a deep learning pipeline for segmenting whole slides of mouse white adipose tissue, and uses it to analyze phenotypes in Klf14 mouse models.

LAMA: Automated image analysis for developmentalphenotyping of mouse embryos

LAMA automates 3D image analysis for mouse embryo phenotyping, integrating with an anatomical atlas to annotate dysmorphologies.

Human and mouse essentiality screens as a resource for disease gene discovery

The paper integrates gene essentiality data from human and mouse screens to classify genes into FUSIL categories, identifying developmental lethal genes associated with rare diseases.