activity
20202023
most citedModel-based Synthetic Data-driven Learning (MOST-DL): Application in Single-shot T2 Mapping with Severe Head Motion Using Overlapping-echo Acquisition

8 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2023

CloudBrain-MRS: An Intelligent Cloud Computing Platform for in vivo Magnetic Resonance Spectroscopy Preprocessing, Quantification, and Analysis

Xiaodie Chen, Jiayu Li, Dicheng Chen +13

Magnetic resonance spectroscopy (MRS) is an important clinical imaging method for diagnosis of diseases. MRS spectrum is used to observe the signal intensity of metabolites or furt…

cs.LG2022

A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization

Jian Cao, Chen Qian, Yihui Huang +5

Implicit regularization is an important way to interpret neural networks. Recent theory starts to explain implicit regularization with the model of deep matrix factorization (DMF)…

eess.IV2022★ 6 cited

CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation

Yirong Zhou, Chen Qian, Jiayu Li +11

Efficient collaboration between engineers and radiologists is important for image reconstruction algorithm development and image quality evaluation in magnetic resonance imaging (M…

eess.IV2021★ 8 cited

Model-based Synthetic Data-driven Learning (MOST-DL): Application in Single-shot T2 Mapping with Severe Head Motion Using Overlapping-echo Acquisition

Qinqin Yang, Yanhong Lin, Jiechao Wang +12

Use of synthetic data has provided a potential solution for addressing unavailable or insufficient training samples in deep learning-based magnetic resonance imaging (MRI). However…

physics.med-ph2020★ 2 cited

Spatiotemporal Flexible Sparse Reconstruction for Rapid Dynamic Contrast-enhanced MRI

Yuhan Hu, Xinlin Zhang, Li Feng +6

Dynamic Contrast-enhanced magnetic resonance imaging (DCE-MRI) is a tissue perfusion imaging technique. Some versatile free-breathing DCE-MRI techniques combining compressed sensin…