David P. Bauer

This study improves cell type classification in lung cancer tissue sections by incorporating microenvironment information through fisheye transformations, achieving human-level accuracy.

The paper introduces a semi-automatic annotation tool for 2D and 3D image labelling to reduce expert effort in creating object-based labels.

This study shows that noise exposure reduces CR+ calyces and alters head stability and orientation in rats, correlating with changes in VsEP amplitudes and behavioral responses.

The paper introduces a fisheye transformation for single-cell phenotyping, improving accuracy by weighting nearby cells more heavily than distant ones, and validates it on microscopy and wildlife datasets.

Quantius provides a crowd-based image annotation platform that achieves high-fidelity human annotation at 105 clicks per hour, matching deep learning performance while reducing time and cost.

The paper uses deep mutational scanning to explore how chemical perturbations affect ubiquitin's mutational tolerance, revealing sensitization of most positions except two.