Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion
Not on the map. Why?
Abstract (arXiv)
In recent years, deep learning has been applied to a wide range of medical imaging and image processing tasks. In this work, we focus on the estimation of epistemic uncertainty for 3D medical image-to-image translation. We propose a novel model uncertainty quantification method, Multi-Axis Fusion (MAF), which relies on the integration of complementary information derived from multiple views on volumetric image data. The proposed approach is applied to the task of synthesizing contrast enhanced T1-weighted images based on native T1, T2 and T2-FLAIR scans. The quantitative findings indicate a strong correlation (ρtext healthy = 0.89) between the mean absolute image synthetization error and the mean uncertainty score for our MAF method. Hence, we consider MAF as a promising approach to solve the highly relevant task of detecting synthetization failures at inference time.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 16 of its 23 references that are in the map. First posted on arXiv 20 Nov 2023.
Builds on
16 of 23 references.
References · 16
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
- 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,527
- 2015Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learningcited by 4,448
- 2016Simple and Scalable Predictive Uncertainty Estimation using Deep Ensemblescited by 3,926
- 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,694
- 2017What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?cited by 2,352
- 2018Spectral Normalization for Generative Adversarial Networkscited by 1,636
- 2016Least Squares Generative Adversarial Networkscited by 1,001
- 2014Striving for Simplicity: The All Convolutional Netcited by 990
- 2018Distribution Matching Losses Can Hallucinate Features in Medical Image Translationcited by 99
- 2017Continuously Differentiable Exponential Linear Unitscited by 73
- 2023A Review of Uncertainty Estimation and its Application in Medical Imagingcited by 59
4 more
- 2019Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisitioncited by 56
- 2022Bayesian Learning for Neural Networks: an algorithmic surveycited by 23
- 2021Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancementcited by 15
- 2023fRegGAN with K-space Loss Regularization for Medical Image Translationcited by 3
Built on by
Citing papers per year: 2024: 2.
2 papers.