Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement

no code implementations • 7 Oct 2021 • Uddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate

Our experiments with two different real-world datasets show that the proposed method (i)~is robust to OOD-noisy test data and provides improved accuracy and (ii)~quantifies voxel-level uncertainty in the predictions.

Image Enhancement Image-to-Image Translation +2

Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data

no code implementations • 21 Jul 2021 • Viswanath P. Sudarshan, Uddeshya Upadhyay, Gary F. Egan, Zhaolin Chen, Suyash P. Awate

Our sinogram-based uncertainty-aware DNN framework, namely, suDNN, estimates a standard-dose PET image using multimodal input in the form of (i) a low-dose/low-count PET image and (ii) the corresponding multi-contrast MRI images, leading to improved robustness of suDNN to OOD acquisitions.

Image-to-Image Translation