| Trustworthy Artificial Intelligence in the Context of Metrology | Jun 14, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis | Oct 5, 2022 | Medical Image AnalysisUncertainty Quantification | —Unverified | 0 |
| Multi-modal MRI Translation via Evidential Regression and Distribution Calibration | Jul 10, 2024 | Diagnosticregression | —Unverified | 0 |
| Trustworthy Evaluation of Generative AI Models | Jan 31, 2025 | Uncertainty Quantificationvalid | —Unverified | 0 |
| Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios | Jan 29, 2025 | Data AugmentationDiagnostic | —Unverified | 0 |
| Trustworthy Machine Learning | Oct 12, 2023 | Out-of-Distribution GeneralizationUncertainty Quantification | —Unverified | 0 |
| SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks | Nov 10, 2021 | DecoderImage Segmentation | —Unverified | 0 |
| Tube Loss based Deep Networks For Improving the Probabilistic Forecasting of Wind Speed | May 23, 2025 | Uncertainty Quantification | —Unverified | 0 |
| Two Wrongs Can Make a Right: A Transfer Learning Approach for Chemical Discovery with Chemical Accuracy | Jan 11, 2022 | DiagnosticProperty Prediction | —Unverified | 0 |
| Fast Deep Mixtures of Gaussian Process Experts | Jun 11, 2020 | Gaussian ProcessesMixture-of-Experts | —Unverified | 0 |
