research
∙
08/25/2023
Residual Denoising Diffusion Models
Current diffusion-based image restoration methods feed degraded input im...
share
research
∙
11/21/2022
Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models
Multivariate signals are prevalent in various domains, such as healthcar...
research
∙
05/09/2022
Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI
Despite its tremendous value for the diagnosis, treatment monitoring and...
research
∙
10/09/2021
Learning MRI Artifact Removal With Unpaired Data
Retrospective artifact correction (RAC) improves image quality post acqu...
research
∙
07/18/2021
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging
Federated learning enables multiple institutions to collaboratively trai...
research
∙
06/24/2021
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging
Collaborative learning, which enables collaborative and decentralized tr...
research
∙
10/23/2016
3D Hand Pose Tracking and Estimation Using Stereo Matching
3D hand pose tracking/estimation will be very important in the next gene...
research
∙
07/12/2016
RGBD Salient Object Detection via Deep Fusion
Numerous efforts have been made to design different low level saliency c...
research
∙
06/30/2014