Showing 1–11 of 11 results
/ Date/ Name
Nov 1, 2021Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability MethodsJul 18, 2024A review of handcrafted and deep radiomics in neurological diseases: transitioning from oncology to clinical neuroimagingSep 18, 2025Radiology Report Conditional 3D CT Generation with Multi Encoder Latent diffusion ModelJan 4, 2023MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small DatasetsMay 23, 2025Explainable Anatomy-Guided AI for Prostate MRI: Foundation Models and In Silico Clinical Trials for Virtual Biopsy-based Risk AssessmentAug 7, 2024Methodological 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 TrialAug 7, 2024Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center StudySep 20, 2021FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical ImagingFeb 28, 2022Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysisJan 12, 2026Robust Multicentre Detection and Classification of Colorectal Liver Metastases on CT: Application of Foundation ModelsMay 23, 2025Consensus in the Parliament of AI: Harmonized Multi-Region CT-Radiomics and Foundation-Model Signatures for Multicentre NSCLC Risk Stratification