Zobrazeno 1 - 10
of 4 376
pro vyhledávání: '"CHEN, QUN"'
Deep-learning-based MR-to-CT synthesis can estimate the electron density of tissues, thereby facilitating PET attenuation correction in whole-body PET/MR imaging. However, whole-body MR-to-CT synthesis faces several challenges including the issue of
Externí odkaz:
http://arxiv.org/abs/2411.17488
Approximate Message Passing (AMP), originally developed to address high-dimensional linear inverse problems, has found widespread applications in signal processing and statistical inference. Among its notable variants, Vector Approximate Message Pass
Externí odkaz:
http://arxiv.org/abs/2410.20902
Autor:
Ahmed, Murtadha, Chen, Qun
Aspect Category Detection (ACD) aims to identify implicit and explicit aspects in a given review sentence. The state-of-the-art approaches for ACD use Deep Neural Networks (DNNs) to address the problem as a multi-label classification task. However, l
Externí odkaz:
http://arxiv.org/abs/2404.05245
Approximate Message Passing (AMP), originally designed to solve high-dimensional linear inverse problems, has found broad applications in signal processing and statistical inference. Among its key variants, Vector Approximate Message Passing (VAMP) a
Externí odkaz:
http://arxiv.org/abs/2311.05111
Few-shot image classification aims to accurately classify unlabeled images using only a few labeled samples. The state-of-the-art solutions are built by deep learning, which focuses on designing increasingly complex deep backbones. Unfortunately, the
Externí odkaz:
http://arxiv.org/abs/2307.15524
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 41, Iss 3, Pp 315-321 (2024)
1H NMR spectral features of hydrogen molecules in the stacking interstices of silicon dioxide (SiO2) microspheres with different sizes are studied in the present article. The chemical shift of hydrogen molecules is observed to gradually shift towards
Externí odkaz:
https://doaj.org/article/c1c052e3197c40d99d3e7cb667d91f99
Autor:
Chen, Qun‐Gao1 (AUTHOR), Cai, Xingke2 (AUTHOR) cai.xingke@szu.edu.cn, Chueh, Chu‐Chen3 (AUTHOR) cchueh@ntu.edu.tw, Lee, Wen‐Ya1 (AUTHOR) wenyalee@mail.ntut.edu.tw
Publikováno v:
Small Science. Oct2024, Vol. 4 Issue 10, p1-10. 10p.
Autor:
Fang, Zhi, Zhu, Yu-Jun, Wang, Danfeng, Wang, Zhenzhen, Lian, Cheng, Huang, Kun-Lin, Qian, Jun-Feng, He, Ming-Yang, Chen, Sheng-Chun, Chen, Qun
Publikováno v:
In Molecular Catalysis December 2024 569
Publikováno v:
In Expert Systems With Applications 1 December 2024 255 Part C