research
∙
09/19/2023
Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context
Diffusion models have emerged as a popular family of deep generative mod...
share
research
∙
07/17/2022
Unsupervised Medical Image Translation with Adversarial Diffusion Models
Imputation of missing images via source-to-target modality translation c...
research
∙
07/13/2022
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis
Learning-based MRI translation involves a synthesis model that maps a so...
research
∙
02/08/2022
Federated Learning of Generative Image Priors for MRI Reconstruction
Multi-institutional efforts can facilitate training of deep MRI reconstr...
research
∙
05/15/2021
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
Supervised deep learning has swiftly become a workhorse for accelerated ...
research
∙
11/29/2020
Semi-Supervised Learning of Mutually Accelerated Multi-Contrast MRI Synthesis without Fully-Sampled Ground-Truths
This study proposes a novel semi-supervised learning framework for mutua...
research
∙
11/27/2020