FSTU-Net: A sparse-view CT reconstruction framework for enhanced imaging efficiency and quality in neutron tomography
Shengxiang Wang(Chinese Academy of Sciences), Jie Chen(Chinese Academy of Sciences), Yakang Li(Chinese Academy of Sciences), Le Thanh Dong(China Spallation Neutron Source), Long Wei(Palace Museum), Jianfang Li(China Spallation Neutron Source), F. Z. Qi(Beijing University of Chinese Medicine), Jiancong Li(Chinese Academy of Sciences), Xin Shu(China Pharmaceutical University), Yong Lei(Technische Universität Ilmenau)
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
April 23, 2025
Cited by 1
Related Papers
Structural and mechanistic revelations on high capacity cation-disordered Li-rich oxides for rechargeable Li-ion batteries
|Energy storage materials|2018|120
A Reliable Physical Layer Key Generation Scheme Based on RSS and LSTM Network in VANET
|IEEE Internet of Things Journal|2023|33
Exascale image processing for next-generation beamlines in advanced light sources
|Nature Reviews Physics|2022|25
<p>Melatonin benefits to the growth of human annulus fibrosus cells through inhibiting miR-106a-5p/ATG7 signaling pathway</p>
|Clinical Interventions in Aging|2019|20