Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Xu Kaiwen"'
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper discusses the design and implementation of the grid intelligent micro-application, involving two core aspects: technical architecture and data architecture. First, the article successfully constructs the basic framework of grid intelligent
Externí odkaz:
https://doaj.org/article/7540dbc62f6c41f0953860f2dd2d1ba7
Magnetic Resonance Imaging (MRI) is the gold standard for measuring fat and iron content non-invasively in the body via measures known as Proton Density Fat Fraction (PDFF) and $R_2^*$, respectively. However, conventional PDFF and $R_2^*$ quantificat
Externí odkaz:
http://arxiv.org/abs/2410.11186
Autor:
Li, Thomas Z., Xu, Kaiwen, Krishnan, Aravind, Gao, Riqiang, Kammer, Michael N., Antic, Sanja, Xiao, David, Knight, Michael, Martinez, Yency, Paez, Rafael, Lentz, Robert J., Deppen, Stephen, Grogan, Eric L., Lasko, Thomas A., Sandler, Kim L., Maldonado, Fabien, Landman, Bennett A.
Statistical models for predicting lung cancer have the potential to facilitate earlier diagnosis of malignancy and avoid invasive workup of benign disease. Many models have been published, but comparative studies of their utility in different clinica
Externí odkaz:
http://arxiv.org/abs/2405.10993
Autor:
Krishnan, Aravind R., Xu, Kaiwen, Li, Thomas, Gao, Chenyu, Remedios, Lucas W., Kanakaraj, Praitayini, Lee, Ho Hin, Bao, Shunxing, Sandler, Kim L., Maldonado, Fabien, Isgum, Ivana, Landman, Bennett A.
The reconstruction kernel in computed tomography (CT) generation determines the texture of the image. Consistency in reconstruction kernels is important as the underlying CT texture can impact measurements during quantitative image analysis. Harmoniz
Externí odkaz:
http://arxiv.org/abs/2309.12953
Publikováno v:
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023
A concept-based classifier can explain the decision process of a deep learning model by human-understandable concepts in image classification problems. However, sometimes concept-based explanations may cause false positives, which misregards unrelate
Externí odkaz:
http://arxiv.org/abs/2305.18362
Autor:
Xu, Kaiwen, Krishnan, Aravind R., Li, Thomas Z., Huo, Yuankai, Sandler, Kim L., Maldonado, Fabien, Landman, Bennett A.
Anatomically consistent field-of-view (FOV) completion to recover truncated body sections has important applications in quantitative analyses of computed tomography (CT) with limited FOV. Existing solution based on conditional generative models relie
Externí odkaz:
http://arxiv.org/abs/2304.03760
Autor:
Li, Thomas Z., Still, John M., Xu, Kaiwen, Lee, Ho Hin, Cai, Leon Y., Krishnan, Aravind R., Gao, Riqiang, Khan, Mirza S., Antic, Sanja, Kammer, Michael, Sandler, Kim L., Maldonado, Fabien, Landman, Bennett A., Lasko, Thomas A.
The accuracy of predictive models for solitary pulmonary nodule (SPN) diagnosis can be greatly increased by incorporating repeat imaging and medical context, such as electronic health records (EHRs). However, clinically routine modalities such as ima
Externí odkaz:
http://arxiv.org/abs/2304.02836
Autor:
Yang, Qi, Yu, Xin, Lee, Ho Hin, Cai, Leon Y., Xu, Kaiwen, Bao, Shunxing, Huo, Yuankai, Moore, Ann Zenobia, Makrogiannis, Sokratis, Ferrucci, Luigi, Landman, Bennett A.
Objective: Thigh muscle group segmentation is important for assessment of muscle anatomy, metabolic disease and aging. Many efforts have been put into quantifying muscle tissues with magnetic resonance (MR) imaging including manual annotation of indi
Externí odkaz:
http://arxiv.org/abs/2212.00059
Autor:
Li, Thomas Z., Xu, Kaiwen, Gao, Riqiang, Tang, Yucheng, Lasko, Thomas A., Maldonado, Fabien, Sandler, Kim, Landman, Bennett A.
Features learned from single radiologic images are unable to provide information about whether and how much a lesion may be changing over time. Time-dependent features computed from repeated images can capture those changes and help identify malignan
Externí odkaz:
http://arxiv.org/abs/2209.01676
Autor:
Xu, Kaiwen, Li, Thomas, Khan, Mirza S., Gao, Riqiang, Antic, Sanja L., Huo, Yuankai, Sandler, Kim L., Maldonado, Fabien, Landman, Bennett A.
Field-of-view (FOV) tissue truncation beyond the lungs is common in routine lung screening computed tomography (CT). This poses limitations for opportunistic CT- based body composition (BC) assessment as key anatomical structures are missing. Traditi
Externí odkaz:
http://arxiv.org/abs/2207.06551