Search Results for author: Baodong Liu

Found 5 papers, 1 papers with code

LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT

1 code implementation13 Dec 2020 Yi Zhang, Hu Chen, Wenjun Xia, Yang Chen, Baodong Liu, Yan Liu, Huaiqiang Sun, Jiliu Zhou

Compressed sensing (CS) computed tomography has been proven to be important for several clinical applications, such as sparse-view computed tomography (CT), digital tomosynthesis and interior tomography.

Computed Tomography (CT) Image Restoration

SmartTriage: A system for personalized patient data capture, documentation generation, and decision support

no code implementations19 Oct 2020 Ilya Valmianski, Ian M. Finn, Nave Frost, Yang Wang, Baodong Liu, James J. Zhu, Sunil Karumuri, Daniel S. Zisook

Symptom checkers have emerged as an important tool for collecting symptoms and diagnosing patients, minimizing the involvement of clinical personnel.

JSR-Net: A Deep Network for Joint Spatial-Radon Domain CT Reconstruction from incomplete data

no code implementations3 Dec 2018 Haimiao Zhang, Bin Dong, Baodong Liu

CT image reconstruction from incomplete data, such as sparse views and limited angle reconstruction, is an important and challenging problem in medical imaging.

Image Reconstruction

Dictionary-Learning-Based Reconstruction Method for Electron Tomography

no code implementations22 Nov 2013 Baodong Liu, Hengyong Yu, Scott S. Verbridge, Lizhi Sun, Ge Wang

In this paper, we evaluate the EST, ADSIR and an ordered-subset simultaneous algebraic reconstruction technique (OS-SART), and compare the ES and equally angled (EA) data acquisition modes.

Compressive Sensing Dictionary Learning +1

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