Katelyn Hasse, PhD

Assistant Professor

Publications

An adversarial machine learning framework and biomechanical model-guided approach for computing 3D lung tissue elasticity from end-expiration 3DCT.

Use of Receiver Operating Curve Analysis and Machine Learning With an Independent Dose Calculation System Reduces the Number of Physical Dose Measurements Required for Patient-Specific Quality Assurance.

A quantitative analysis of biomechanical lung model consistency using 5DCT datasets.

Systematic feasibility analysis of performing elastography using reduced dose CT lung image pairs.

Feasibility of deriving a novel imaging biomarker based on patient-specific lung elasticity for characterizing the degree of COPD in lung SBRT patients.

Estimation and validation of patient-specific high-resolution lung elasticity derived from 4DCT.

Systematic feasibility analysis of a quantitative elasticity estimation for breast anatomy using supine/prone patient postures.