research
∙
12/31/2022
Source-Free Unsupervised Domain Adaptation: A Survey
Unsupervised domain adaptation (UDA) via deep learning has attracted app...
share
research
∙
08/09/2022
Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network
Missing scans are inevitable in longitudinal studies due to either subje...
research
∙
10/09/2021
Learning MRI Artifact Removal With Unpaired Data
Retrospective artifact correction (RAC) improves image quality post acqu...
research
∙
10/06/2021
A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint
Charting the baby connectome evolution trajectory during the first year ...
research
∙
09/15/2020
Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy
The human brains are organized into hierarchically modular networks faci...
research
∙
07/04/2020
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
To better understand early brain growth patterns in health and disorder,...
research
∙
02/25/2020
Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE)
Diffusion MRI (dMRI) is a unique imaging technique for in vivo character...
research
∙
04/11/2019
FRNET: Flattened Residual Network for Infant MRI Skull Stripping
Skull stripping for brain MR images is a basic segmentation task. Althou...
research
∙
04/07/2019
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks
In this paper, we introduce an image quality assessment (IQA) method for...
research
∙
04/01/2019
