Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Zhang, Guojun"'
Autor:
Zhang,Guojun, Yang,Chuan, Zhao,Caixia, Xian,Feng, Qing,Dong, Guo,Qiyu, Song,Junmei, Liu,Xilin, Bie,Jun
Publikováno v:
Cancer Management and Research. 15:101-112
Guojun Zhang,1 Chuan Yang,2 Caixia Zhao,1 Feng Xian,3 Dong Qing,1 Qiyu Guo,1 Junmei Song,1 Xilin Liu,1 Jun Bie1 1Department of Oncology, Nanchong Central Hospital and The Second Clinical Medical College of North Sichuan Medical College, Nanchong, Peo
Autor:
Nia, Vahid Partovi, Zhang, Guojun, Kobyzev, Ivan, Metel, Michael R., Li, Xinlin, Sun, Ke, Hemati, Sobhan, Asgharian, Masoud, Kong, Linglong, Liu, Wulong, Chen, Boxing
Deep models are dominating the artificial intelligence (AI) industry since the ImageNet challenge in 2012. The size of deep models is increasing ever since, which brings new challenges to this field with applications in cell phones, personal computer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff3c60f7525381f55dc12409ae5d881a
http://arxiv.org/abs/2303.15464
http://arxiv.org/abs/2303.15464
We show that the canonical approach for training differentially private GANs -- updating the discriminator with differentially private stochastic gradient descent (DPSGD) -- can yield significantly improved results after modifications to training. Ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50e10af7b1d5d16c46ff0f65f7822568
Autor:
Chen, Kelin, Li, Guoge, Kang, Xixiong, Liu, Pinan, Qian, Lingye, Shi, Yijun, Osman, Rasha Alsamani, Yang, Zhijun, Zhang, Guojun
Publikováno v:
Neuropsychiatric Disease and Treatment
Purpose Assessing the invasiveness of pituitary adenomas (PAs) is critical to making the best surgical and treatment plan. However, it is difficult to determine the invasiveness of pituitary adenomas based on current clinical methods, such as imaging
Publikováno v:
Infection and drug resistance. 15
Guanghui Zheng,1â 3 Siqi Wang,4 Hong Lv,1â 3 Guojun Zhang1â 3 1Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, 100076, Peopleâs Republic of China; 2NMPA Key Laboratory for Quality Control of in vitro D
Modern machine learning systems achieve great success when trained on large datasets. However, these datasets usually contain sensitive information (e.g. medical records, face images), leading to serious privacy concerns. Differentially private gener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c18dbaf7a7346f76c4215a8e987ac76
http://arxiv.org/abs/2208.03409
http://arxiv.org/abs/2208.03409
Autor:
Ma Ruimin, Hu Zhifei, Zou Dandan, Xie Leijie, Wang Hong-mei, Liu Peng, Zheng Guanghui, Zhang Guojun, Shi Yijun, Lv Hong
Publikováno v:
Clinica Chimica Acta. 518:110-115
Background and aims The present study aims to correlate the severity of post-stroke depression (PSD) and serum ceramide concentration. Materials and methods In this two-center case-control study, we prospectively collected clinical and demographical
In typical scenarios where the Federated Learning (FL) framework applies, it is common for clients to have insufficient training data to produce an accurate model. Thus, models that provide not only point estimations, but also some notion of confiden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cdc774f55a06571cc64be8edbd9bc31
http://arxiv.org/abs/2206.06357
http://arxiv.org/abs/2206.06357
Metal-organic framework materials(ZIF-9) were loaded on Sodium alginate/polyvinyl(PVA/SA) hydrogel by in situ growth method for adsorption of heavy metal Cu (II). The structure of hydrogels composited with MOFs and polymers was designed to improve th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7cad745b50fc9895dda6a18e4bb5342
https://doi.org/10.21203/rs.3.rs-1710832/v1
https://doi.org/10.21203/rs.3.rs-1710832/v1
Autor:
Rasha Alsamani, Zhang Limin, Wu Jianwei, Wang Dan, Sun Yuehong, Liu Ziwei, Xu Huiwen, Wang Dongzhi, Shi Yijun, Qian Lingye, Zhao Xingquan, Zhang Guojun
Publikováno v:
Journal of clinical laboratory analysis. 36(7)
The apolipoprotein B (apoB)/apolipoprotein A1 (apoA1) ratio is a key indicator in predicting future cardiovascular outcomes. However, it is still unclear whether the ratio of apoB/apoA1 is a better predictor of the outcomes after intracerebral hemorr