2 citations · 2 across the 6 of their papers we have counts for
6 papers
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation
Prerak Mody, Nicolas F. Chaves-de-Plaza, Chinmay Rao +5
Increased usage of automated tools like deep learning in medical image segmentation has alleviated the bottleneck of manual contouring. This has shifted manual labour to quality as…
Accelerating hyperbolic t-SNE
Martin Skrodzki, Hunter van Geffen, Nicolas F. Chaves-de-Plaza +3
The need to understand the structure of hierarchical or high-dimensional data is present in a variety of fields. Hyperbolic spaces have proven to be an important tool for embedding…
Navigating Perplexity: A linear relationship with the data set size in t-SNE embeddings
Martin Skrodzki, Nicolas F. Chaves-de-Plaza, Thomas Höllt +2
Widely used pipelines for analyzing high-dimensional data utilize two-dimensional visualizations. These are created, for instance, via t-distributed stochastic neighbor embedding (…
ProtoFold Neighborhood Inspector
Nicolas F. Chaves-de-Plaza, Klaus Hildebrandt, Anna Vilanova
Post-translational modifications (PTMs) affecting a protein's residues (amino acids) can disturb its function, leading to illness. Whether or not a PTM is pathogenic depends on its…
Report on AI-Infused Contouring Workflows for Adaptive Proton Therapy in the Head and Neck
Nicolas F. Chaves-de-Plaza, Prerak Mody, Klaus Hildebrandt +5
Delineation of tumors and organs-at-risk permits detecting and correcting changes in the patients' anatomy throughout the treatment, making it a core step of adaptive proton therap…
Comparing Bayesian Models for Organ Contouring in Head and Neck Radiotherapy
Prerak Mody, Nicolas Chaves-de-Plaza, Klaus Hildebrandt +3
Deep learning models for organ contouring in radiotherapy are poised for clinical usage, but currently, there exist few tools for automated quality assessment (QA) of the predicted…