Johannes Stegmaier

MoMo is an interactive visualization framework that analyzes neuron morphology-aware motifs in connectomes, enabling efficient subgraph isomorphism searches and intuitive exploration through a sketch-based interface.

This paper introduces an end-to-end deep learning pipeline for renal cell carcinoma detection, subtyping, and grading using The Cancer Genome Atlas data.

This paper proposes an RNN-based method to automatically detect mitosis stages from cell division videos, showing improved performance over traditional classifiers.

This study uses 3D CNN models to classify mitosis stages in 3D time-lapse cell sequences, achieving higher accuracy than previous methods.

This paper develops a weakly-supervised method using recurrent neural networks to classify cell-cycle stages in mitosis videos without annotated data, achieving performance comparable to supervised approaches.

This paper proposes an RNN-based method for automatic cell-cycle stage classification using time-lapse microscopy images, achieving superior performance over a classifier baseline.

The paper introduces MorphoGraphX 2.0, a software tool that annotates developing organs with local coordinate systems to analyze gene expression and growth in spatial context.

The paper shows that mechanical competition influences cell behavior during Drosophila gastrulation, with stretching cells exhibiting non-linear mechanical properties despite sharing the same genetic program as constricting neighbors.

The paper introduces 3D MAPs, a pipeline for analyzing chondrocyte morphology in growth plates, revealing allometric growth strategies and GDF5's regulatory role in tibia development.

The paper develops an automated high-throughput method for measuring heart rate in medaka and zebrafish embryos without anesthesia or fluorescent reporters.

The paper shows that multipotent progenitors separate specialized stem zones in chick embryos through extrinsic morphogenetic cues rather than intrinsic fate determination.

The paper analyzes 3D nuclear morphology in mouse growth plates to reveal differences in nuclear shape across differentiation stages and opposing growth plates.

This paper introduces third-generation in situ HCR with automatic background suppression, enabling multiplexed, quantitative mRNA imaging and flow cytometry with improved performance and ease-of-use.