activity
20172025
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 · 36 across the 11 of their papers we have counts for

collaborators

11 papers

eess.IV2025

Bridging Synthetic-to-Real Gaps: Frequency-Aware Perturbation and Selection for Single-shot Multi-Parametric Mapping Reconstruction

Linyu Fan, Che Wang, Ming Ye +7

Data-centric artificial intelligence (AI) has remarkably advanced medical imaging, with emerging methods using synthetic data to address data scarcity while introducing synthetic-t…

cs.CV2024★ 3 cited

MvKeTR: Chest CT Report Generation with Multi-View Perception and Knowledge Enhancement

Xiwei Deng, Xianchun He, Jianfeng Bao +4

CT report generation (CTRG) aims to automatically generate diagnostic reports for 3D volumes, relieving clinicians' workload and improving patient care. Despite clinical value, exi…

physics.med-ph2023

DSC-MRI derived relative CBV maps synthesized from IVIM-MRI data:Application in glioma IDH mutation status identification

Lu Wang, Zhen Xing, Congbo Cai +3

Objectives:To develop a framework for obtaining dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) derived relative cerebral blood volume (rCBV) maps without gado…

eess.IV2023

FlexDTI: Flexible diffusion gradient encoding scheme-based highly efficient diffusion tensor imaging using deep learning

Zejun Wu, Jiechao Wang, Zunquan Chen +9

Objective: Most deep neural network-based diffusion tensor imaging methods require the diffusion gradients' number and directions in the data to be reconstructed to match those in…

eess.IV2023★ 6 cited

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction

Zi Wang, Xiaotong Yu, Chengyan Wang +25

Magnetic resonance imaging (MRI) is a widely used radiological modality renowned for its radiation-free, comprehensive insights into the human body, facilitating medical diagnoses.…

eess.IV2022★ 8 cited

High-efficient Bloch simulation of magnetic resonance imaging sequences based on deep learning

Haitao Huang, Qinqin Yang, Jiechao Wang +3

Objective: Bloch simulation constitutes an essential part of magnetic resonance imaging (MRI) development. However, even with the graphics processing unit (GPU) acceleration, the h…