research
∙
07/03/2023
Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis
Generative latent diffusion models have been established as state-of-the...
share
research
∙
05/23/2022
BolT: Fused Window Transformers for fMRI Time Series Analysis
Functional magnetic resonance imaging (fMRI) enables examination of inte...
research
∙
03/13/2021
A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors
Deep neural networks (DNNs) have recently found emerging use in accelera...
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
Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery
Magnetic resonance imaging (MRI) offers the flexibility to image a given...
research
∙
09/25/2019
mustGAN: Multi-Stream Generative Adversarial Networks for MR Image Synthesis
Multi-contrast MRI protocols increase the level of morphological informa...
research
∙
05/27/2018
Synergistic Reconstruction and Synthesis via Generative Adversarial Networks for Accelerated Multi-Contrast MRI
Multi-contrast MRI acquisitions of an anatomy enrich the magnitude of in...
research
∙
02/05/2018
Image Synthesis in Multi-Contrast MRI with Conditional Generative Adversarial Networks
Acquiring images of the same anatomy with multiple different contrasts i...
research
∙
10/07/2017
