Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Yining, Jiao"'
Autor:
Bin Xiao, Naying He, Qian Wang, Zenghui Cheng, Yining Jiao, E. Mark Haacke, Fuhua Yan, Feng Shi
Publikováno v:
NeuroImage: Clinical, Vol 24, Iss , Pp - (2019)
Abstrat: Parkinson's disease is the second most common neurodegenerative disease in the elderly after Alzheimer's disease. The aetiology and pathogenesis of Parkinson's disease (PD) are still unclear, but the loss of dopaminergic cells and the excess
Externí odkaz:
https://doaj.org/article/28ecf39d72964cbf8b2f72e0f50b6a00
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164422
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74fb62eb89abd84c02e6a73a1210f569
https://doi.org/10.1007/978-3-031-16443-9_45
https://doi.org/10.1007/978-3-031-16443-9_45
Publikováno v:
2021 International Conference on Electronic Information Engineering and Computer Science (EIECS).
This paper has reviewed some innovations to CMOS dynamic conventional comparator in recent years. In order to enhance the circuit performance of the comparator, the improved critical technologies of the comparator have been proposed, which made great
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fe3fb574bcfa250ff588337550b1f1a
https://doi.org/10.1109/eiecs53707.2021.9587981
https://doi.org/10.1109/eiecs53707.2021.9587981
Autor:
Qian Wang, Zhong-Ling Qiu, Hong-Jun Song, Yining Jiao, Xuhua Ren, Chen-Tian Shen, Weijun Wei, Qingcheng Yang, Quan-Yong Luo
Publikováno v:
European Radiology. 29:3945-3954
To investigate whether tumor texture features derived from pretreatment with 18F-fluorodeoxyglucose positron emission tomography (FDG PET) can predict histological response or event-free survival (EFS) in patients with localized osteosarcoma of the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ace8440579e082ea2ec68de56237677
https://doi.org/10.1007/s00330-019-06074-2
https://doi.org/10.1007/s00330-019-06074-2
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 57:866-880
Hyperspectral images (HSIs) denoising aims at eliminating the noise generated during the acquisition and transmission of HSIs. Since denoising is an ill-posed problem, utilizing proper knowledge of HSIs as regularization is essential for a good denoi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30fad804efa8b4037548ffb04d3d4d7c
https://doi.org/10.1109/tgrs.2018.2862384
https://doi.org/10.1109/tgrs.2018.2862384
Publikováno v:
Acta radiologica (Stockholm, Sweden : 1987). 63(6)
Background There are significant differences in outcomes for different histological subtypes of cervical cancer (CC). Yet, it is difficult to distinguish CC subtypes using non-invasive methods. Purpose To investigate whether multiparametric magnetic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ae0e75ed4687e88b7391f17af043412
https://pubmed.ncbi.nlm.nih.gov/33975448
https://pubmed.ncbi.nlm.nih.gov/33975448
Autor:
Liping Si, Dinggang Shen, Dijia Wu, Zhong Xue, Yining Jiao, Kai Xuan, Lichi Zhang, Weiwu Yao, Qian Wang
High-quality magnetic resonance (MR) image, i.e., with near isotropic voxel spacing, is desirable in various scenarios of medical image analysis. However, many MR images are acquired using good in-plane resolution but large spacing between slices in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14d5c206f9107fa2bd96e2121e53767c
http://arxiv.org/abs/2003.12627
http://arxiv.org/abs/2003.12627
Publikováno v:
Radiomics and Radiogenomics in Neuro-oncology ISBN: 9783030401238
RNO-AI@MICCAI
RNO-AI@MICCAI
Radiomics is widely-used in imaging based clinical studies as a way of extracting high-throughput image descriptors. However, current tools for extracting radiomics features are generally run on CPU only, which leads to large time consumption in situ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65572d4592c96c50071236159bfc9607
https://doi.org/10.1007/978-3-030-40124-5_5
https://doi.org/10.1007/978-3-030-40124-5_5
Publikováno v:
2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE).
Radiomics, as a promising technique for feature extraction, can capture a wealth of information from multimodal medical images through high-throughput feature representations. This confers the advantage of interpretability that deep learning (DL) fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a30d4d02ea834d8495c7e085428fe35a
https://doi.org/10.1109/icmipe47306.2019.9098220
https://doi.org/10.1109/icmipe47306.2019.9098220
Publikováno v:
2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE).
Radiomics is a powerful tool in imaging-based clinical studies and it is gaining importance in oncology due to its ability to extract high-throughput image-based biomarkers in a non-invasive way. However, common methods for extracting radiomics featu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc73fa4e9869fd466bec435195a54de2
https://doi.org/10.1109/icmipe47306.2019.9098212
https://doi.org/10.1109/icmipe47306.2019.9098212