Henry C. Woodruff
Orcid: 0000-0001-7911-5123
According to our database1,
Henry C. Woodruff
authored at least 18 papers
between 2016 and 2024.
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Bibliography
2024
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study.
CoRR, 2024
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.
CoRR, 2024
A review of handcrafted and deep radiomics in neurological diseases: transitioning from oncology to clinical neuroimaging.
CoRR, 2024
2023
MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets.
Neural Networks, August, 2023
Comput. Biol. Medicine, July, 2023
Precision-medicine-toolbox: An open-source python package for the quantitative medical image analysis.
Softw. Impacts, May, 2023
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
CoRR, 2023
UR-CarA-Net: A Cascaded Framework With Uncertainty Regularization for Automated Segmentation of Carotid Arteries on Black Blood MR Images.
IEEE Access, 2023
Leveraging Uncertainty Estimation for Segmentation of Kidney, Kidney Tumor and Kidney Cysts.
Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023
2022
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.
Inf. Fusion, 2022
Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis.
CoRR, 2022
Transparency of deep neural networks for medical image analysis: A review of interpretability methods.
Comput. Biol. Medicine, 2022
HNT-AI: An Automatic Segmentation Framework for Head and Neck Primary Tumors and Lymph Nodes in FDG- PET/CT Images.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging.
CoRR, 2021
Privacy preserving distributed learning classifiers - Sequential learning with small sets of data.
Comput. Biol. Medicine, 2021
Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imaging.
Comput. Biol. Medicine, 2021
2020
Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM).
IEEE Access, 2020
2016
New pathways for end-to-end validation of CT ventilation imaging (CTVI) using deformable image registration.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016