21 citations · 120 across the 12 of their papers we have counts for
12 papers
Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group
Berkin Bilgic, Mauro Costagli, Kwok-Shing Chan +15
This article provides recommendations for implementing quantitative susceptibility mapping (QSM) for clinical brain research. It is a consensus of the ISMRM Electro-Magnetic Tissue…
Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network
Chao Li, Hang Zhang, Jinwei Zhang +3
An approach to reduce motion artifacts in Quantitative Susceptibility Mapping using deep learning is proposed. We use an affine motion model with randomly created motion profiles t…
Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction
Jinwei Zhang, Hang Zhang, Chao Li +4
Quantitative imaging in MRI usually involves acquisition and reconstruction of a series of images at multi-echo time points, which possibly requires more scan time and specific rec…
NeRD: Neural Representation of Distribution for Medical Image Segmentation
Hang Zhang, Rongguang Wang, Jinwei Zhang +5
We introduce Neural Representation of Distribution (NeRD) technique, a module for convolutional neural networks (CNNs) that can estimate the feature distribution by optimizing an u…
Ensembling Low Precision Models for Binary Biomedical Image Segmentation
Tianyu Ma, Hang Zhang, Hanley Ong +5
Segmentation of anatomical regions of interest such as vessels or small lesions in medical images is still a difficult problem that is often tackled with manual input by an expert.…
Geometric Loss for Deep Multiple Sclerosis lesion Segmentation
Hang Zhang, Jinwei Zhang, Rongguang Wang +5
Multiple sclerosis (MS) lesions occupy a small fraction of the brain volume, and are heterogeneous with regards to shape, size and locations, which poses a great challenge for trai…