most citedDIR-DBTnet: Deep iterative reconstruction network for 3D digital breast tomosynthesis imaging

19 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mes-hall2022

Undoped Strained Ge Quantum Well with Ultrahigh Mobility Grown by Reduce Pressure Chemical Vapor Deposition

Zhenzhen Kong, Zonghu Li, Gang Cao +15

We fabricate an undoped Ge quantum well under 30 nm Ge0.8Si0.2 shallow barrier with reverse grading technology. The under barrier is deposited by Ge0.8Si0.2 followed by Ge0.9Si0.1…

physics.med-ph2022★ 1 cited

Dual-domain Attention-based Deep Network for Sparse-view CT Artifact Reduction

Xiang Gao, Ting Su, Jiongtao Zhu +7

Due to the wide applications of X-ray computed tomography (CT) in medical imaging activities, radiation exposure has become a major concern for public health. Sparse-view CT is a p…

physics.med-ph2020★ 1 cited

DIRECT-Net: a unified mutual-domain material decomposition network for quantitative dual-energy CT imaging

Ting Su, Xindong Sun, Yikun Zhang +7

By acquiring two sets of tomographic measurements at distinct X-ray spectra, the dual-energy CT (DECT) enables quantitative material-specific imaging. However, the conventionally d…

physics.med-ph2020★ 19 cited

DIR-DBTnet: Deep iterative reconstruction network for 3D digital breast tomosynthesis imaging

Ting Su, Xiaolei Deng, Zhenwei Wang +5

Purpose: The goal of this study is to develop a novel deep learning (DL) based reconstruction framework to improve the digital breast tomosynthesis (DBT) imaging performance. Metho…

physics.ins-det2020

Estimation of angular sensitivity for X-ray interferometers with multiple phase gratings

Jianwei Chen, Jiecheng Yang, Peiping Zhu +5

Recently, X-ray interferometers with more than one phase grating have been developed for differential phase contrast (DPC) imaging. In this study, a novel framework is developed to…