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20242026
most citedMethodological 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

3 citations · 6 across the 9 of their papers we have counts for

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eess.IV2024

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

Zohaib Salahuddin, Abdalla Ibrahim, Sheng Kuang +10

Routine computed tomography (CT) scans often detect a wide range of renal cysts, some of which may be malignant. Early and precise localization of these cysts can significantly aid…

eess.IV2024★ 1 cited

A review of handcrafted and deep radiomics in neurological diseases: transitioning from oncology to clinical neuroimaging

Elizaveta Lavrova, Henry C. Woodruff, Hamza Khan +3

Medical imaging technologies have undergone extensive development, enabling non-invasive visualization of clinical information. The traditional review of medical images by clinicia…