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Henry C Woodruff

Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial

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Aug 07, 2024
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Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study

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Aug 07, 2024
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Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis

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Feb 28, 2022
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Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods

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Nov 01, 2021
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FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging

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Sep 29, 2021
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