Computed Tomography, Magnetic Resonance Imaging, and Pathological Features of Gliosarcoma
Haiqing Fan(Guiyang Medical University), Xin Liao(Beijing University of Posts and Telecommunications), Yue Yu(Tianjin Medical University Cancer Institute and Hospital), Hui Yu(University of Portsmouth), Yilin Luo(Guiyang Medical University), Likun Liu(Guiyang Medical University), Jinhui Du(Guiyang Medical University)
Cited by 1
Related Papers
Experimental and DFT insights of the Zn-doping effects on the visible-light photocatalytic water splitting and dye decomposition over Zn-doped BiOBr photocatalysts
|Applied Catalysis B: Environmental|2018|238
A steganographic method for digital images with four-pixel differencing and modified LSB substitution
|Journal of Visual Communication and Image Representation|2010|197
Inhibitory factors affecting the process of enhanced biological phosphorus removal (EBPR) – A mini-review
|Process Biochemistry|2014|103
LINC00665 promotes breast cancer progression through regulation of the miR-379-5p/LIN28B axis
|Cell Death and Disease|2020|94
Artificial intelligence-based MRI radiomics and radiogenomics in glioma
|Cancer Imaging|2024|84