Henry C. Woodruff

Transparency of deep neural networks for medical image analysis: A review of interpretability methods

2021 · 435 Zit. · Computers in Biology and Medicine

Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework

2020 · 254 Zit. · Methods

Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods

2021 · 179 Zit. · Journal of Personalized Medicine

Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM)

2020 · 82 Zit. · IEEE Access

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging

2021 · 12 Zit. · arXiv (Cornell University)

Precision-medicine-toolbox: An open-source python package for the quantitative medical image analysis

2023 · 11 Zit. · Software Impacts

Limitations of Only Reporting the Odds Ratio in the Age of Precision Medicine: A Deterministic Simulation Study

2021 · 7 Zit. · Frontiers in Medicine

Improving and Externally Validating Mortality Prediction Models for COVID-19 Using Publicly Available Data

2022 · 4 Zit. · BioMed

A Review of Methods for Trustworthy AI in Medical Imaging: The FUTURE-AI Guidelines

2025 · 2 Zit. · IEEE Journal of Biomedical and Health Informatics

Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis

2022 · 2 Zit. · arXiv (Cornell University)

Radiology Report Conditional 3D CT Generation with Multi Encoder Latent diffusion Model

2025 · 0 Zit. · ArXiv.org

A review of methods for trustworthy AI in medical imaging: The FUTURE-AI Guidelines

2025 · 0 Zit. · Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)

Leveraging hand-crafted radiomics on multicenter FLAIR MRI for predicting disability worsening in people with multiple sclerosis

2025 · 0 Zit. · Frontiers in Neuroscience