Search Results for author:
Found 8 papers, 4 papers with code
Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI
Prior work on the Image Quality Transfer on Diffusion MRI (dMRI) has shown significant improvement over traditional interpolation methods.
Tackling Structural Hallucination in Image Translation with Local Diffusion
We hypothesize such hallucinations result from local OOD regions in the conditional images.
A 3D Conditional Diffusion Model for Image Quality Transfer -- An Application to Low-Field MRI
Low-field (LF) MRI scanners (<1T) are still prevalent in settings with limited resources or unreliable power supply.
Low-field magnetic resonance image enhancement via stochastic image quality transfer
Here, we present Image Quality Transfer (IQT) to enhance low-field structural MRI by estimating from a low-field image the image we would have obtained from the same subject at high field.
Deformably-Scaled Transposed Convolution
Transposed convolution is crucial for generating high-resolution outputs, yet has received little attention compared to convolution layers.
Progressive Subsampling for Oversampled Data -- Application to Quantitative MRI
We build upon a recent dual-network approach that won the MICCAI MUlti-DIffusion (MUDI) quantitative MRI measurement sampling-reconstruction challenge, but suffers from deep learning training instability, by subsampling with a hard decision boundary.
Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients
1. 5T or 3T scanners are the current standard for clinical MRI, but low-field (<1T) scanners are still common in many lower- and middle-income countries for reasons of cost and robustness to power failures.
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator
In this paper we propose a probabilistic decimation simulator to improve robustness of model training.
