Griffin M. Weber

The paper presents a benchmark for 3D blood vessel segmentation in human kidney phase-contrast tomography images using top-performing deep learning solutions from a global competition.

This paper describes the construction and usage of the Human Reference Atlas (HRA) v2.0, which integrates multiscale data across 36 organs and provides tools for analysis and visualization.

The paper introduces a comprehensive catalog of 22 functional tissue units (FTUs) in 10 healthy human organs, detailing their anatomy, vasculature, and cellular composition.

SlowMoMan identifies discriminative features along user-drawn paths in 2D embeddings by back-projecting to high-dimensional data, aiding in trajectory inference and cell classification.

The paper presents software tools and user interfaces for annotating and exploring tissue data in a human reference atlas, enabling data harmonization and public access.

The paper proves theoretical bounds on the 10-anonymity privacy risk of using HyperLogLog sketches for federated clinical data queries and provides code to compute these bounds.

The paper develops a method to estimate distinct patient counts in federated clinical data queries while balancing accuracy and privacy.