Zobrazeno 1 - 10
of 598
pro vyhledávání: '"JIAJUN BU"'
DeepASD: a deep adversarial-regularized graph learning method for ASD diagnosis with multimodal data
Autor:
Wanyi Chen, Jianjun Yang, Zhongquan Sun, Xiang Zhang, Guangyu Tao, Yuan Ding, Jingjun Gu, Jiajun Bu, Haishuai Wang
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Autism Spectrum Disorder (ASD) is a prevalent neurological condition with multiple co-occurring comorbidities that seriously affect mental health. Precisely diagnosis of ASD is crucial to intervention and rehabilitation. A single modality ma
Externí odkaz:
https://doaj.org/article/e9d79605b8c7442f91bea0c4145fe734
Autor:
Lei Wu, Haishuai Wang, Yining Chen, Xiang Zhang, Tianyun Zhang, Ning Shen, Guangyu Tao, Zhongquan Sun, Yuan Ding, Weilin Wang, Jiajun Bu
Publikováno v:
iScience, Vol 26, Iss 11, Pp 108183- (2023)
Summary: Accurate detection of liver lesions from multi-phase contrast-enhanced CT (CECT) scans is a fundamental step for precise liver diagnosis and treatment. However, the analysis of multi-phase contexts is heavily challenged by the misalignment c
Externí odkaz:
https://doaj.org/article/7f76c3f26a6a4db0b8c6ccd25bf70b60
Publikováno v:
Mathematics, Vol 11, Iss 5, p 1073 (2023)
Academic knowledge graphs are essential resources and can be beneficial in widespread real-world applications. Most of the existing academic knowledge graphs are far from completion; thus, knowledge graph completion—the task of extending a knowledg
Externí odkaz:
https://doaj.org/article/1e5b7be76f2142df9710a8cdf7a1319e
Analytics on large-scale graphs have posed significant challenges to computational efficiency and resource requirements. Recently, Graph condensation (GC) has emerged as a solution to address challenges arising from the escalating volume of graph dat
Externí odkaz:
http://arxiv.org/abs/2402.02000
Publikováno v:
Frontiers in Endocrinology, Vol 11 (2020)
Primary adenoid cystic carcinoma (ACC) of the upper anterior mediastinum mimicking a thyroid tumor has rarely been seen in clinical practice and lacks a standard of care therapy. Here, we report a 47-year old female patient with an ACC originated fro
Externí odkaz:
https://doaj.org/article/ad235000ca254fd88026e1cb4f9cc284
Publikováno v:
Sensors, Vol 15, Iss 2, Pp 4273-4290 (2015)
Wireless link correlation has shown significant impact on the performance of various sensor network protocols. Many works have been devoted to exploiting link correlation for protocol improvements. However, the effectiveness of these designs heavily
Externí odkaz:
https://doaj.org/article/59275be5fd5640de9e9d71aa1b4344f1
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
Many trace-based diagnostic techniques have been proposed for abnormal detection and fault diagnosis in networked embedded systems such as wireless sensor networks (WSNs). Event tracing is a nontrivial task for resource-constrained embedded devices.
Externí odkaz:
https://doaj.org/article/715a0937a42b4e35843984553b369836
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
In wired networks, monitor-based network tomography has been proved to be an effective technology for network internal state measurements. Existing wired network tomography approaches assume that the network topology is relatively static. However, th
Externí odkaz:
https://doaj.org/article/579cede8356546cda8f97f8927f58aa6
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 7 (2011)
Large-scale wireless sensor networks follow the two-tiered architecture, where master nodes take charge of storing data and processing queries. However, if a master node is compromised, the information stored in it may be exposed, and query results c
Externí odkaz:
https://doaj.org/article/785cfefb74944ef1b64e70a5023b3f2e
Publikováno v:
Communications of the ACM. Nov2021, Vol. 64 Issue 11, p70-75. 6p. 4 Color Photographs, 5 Diagrams.