Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Juanjuan Gu"'
Autor:
Pradeep Kumar Chaudhary, Juanjuan Gu, David P. Rosen, Nicholas B. Larson, Jane E. Brumbaugh, Mostafa Fatemi, Azra Alizad
Publikováno v:
IEEE Access, Vol 12, Pp 106707-106719 (2024)
Despite advances in neonatal care, metabolic bone disease of prematurity (MBDP) remains a common problem in preterm infants. The development of non-invasive and affordable diagnostic approaches can be highly beneficial in the diagnosis and management
Externí odkaz:
https://doaj.org/article/8f39e46915c94307aeeba1cb8062cf3b
Autor:
Juanjuan Gu, Redouane Ternifi, Soroosh Sabeti, Nicholas B. Larson, Jodi M. Carter, Robert T. Fazzio, Mostafa Fatemi, Azra Alizad
Publikováno v:
Breast Cancer Research, Vol 24, Iss 1, Pp 1-15 (2022)
Abstract Background There is a strong correlation between the morphological features of new tumor vessels and malignancy. However, angiogenic heterogeneity necessitates 3D microvascular data of tumor microvessels for more reliable quantification. To
Externí odkaz:
https://doaj.org/article/6f13b11f80364cf891073ca6ed96496c
Autor:
Juanjuan Gu, Redouane Ternifi, Nicholas B. Larson, Jodi M. Carter, Judy C. Boughey, Daniela L. Stan, Robert T. Fazzio, Mostafa Fatemi, Azra Alizad
Publikováno v:
Breast Cancer Research, Vol 24, Iss 1, Pp 1-13 (2022)
Abstract Background Low specificity in current breast imaging modalities leads to increased unnecessary follow-ups and biopsies. The purpose of this study is to evaluate the efficacy of combining the quantitative parameters of high-definition microva
Externí odkaz:
https://doaj.org/article/17a0f87d915741e889d51e82913bcc1b
Autor:
Juanjuan Gu, Eric C. Polley, Max Denis, Jodi M. Carter, Sandhya Pruthi, Adriana V. Gregory, Judy C. Boughey, Robert T. Fazzio, Mostafa Fatemi, Azra Alizad
Publikováno v:
Breast Cancer Research, Vol 23, Iss 1, Pp 1-13 (2021)
Abstract Background Early prediction of tumor response to neoadjuvant chemotherapy (NACT) is crucial for optimal treatment and improved outcome in breast cancer patients. The purpose of this study is to investigate the role of shear wave elastography
Externí odkaz:
https://doaj.org/article/3072cfeae95947c2bc0c81140888d651
Autor:
Juanjuan Gu, Eric C. Polley, Redouane Ternifi, Rohit Nayak, Judy C. Boughey, Robert T. Fazzio, Mostafa Fatemi, Azra Alizad
Publikováno v:
Breast, Vol 54, Iss , Pp 248-255 (2020)
Purpose: To investigate the diagnostic role of new metrics, defined as individualized-thresholding of Shear Wave Elastography (SWE) parameters, in association with clinical factors (such as age, mammographic density, lesion size and depth) and the BI
Externí odkaz:
https://doaj.org/article/5046895df2a04292b6ef7eb8eb0cf81c
Autor:
Shuangshuang Wang, Juanjuan Gu
Publikováno v:
Highlights in Science, Engineering and Technology. 9:279-288
The current garbage truck path planning algorithm has the problems of not considering the capacity constraints, high computational complexity, and difficult to obtain the optimal solution. We propose a path planning method based on the improved ant c
Autor:
Jacob Kohlenberg, Juanjuan Gu, Ahmad Parvinian, Jeremy Webb, Omar El Kawkgi, Nicholas B. Larson, Mabel Ryder, Mostafa Fatemi, Azra Alizad
Publikováno v:
Ultrasound in Medicine & Biology. 48:1663-1671
Mass characteristic frequency (f
Autor:
Wenwen Xu, Juanjuan Gu
Publikováno v:
International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023).
Publikováno v:
Journal of Computational Methods in Sciences and Engineering. 21:1167-1177
In the engineering applications, the distribution of objects is mostly random. Therefore, scattering analysis of randomly distributed objects has been one of the important problems in broadband electromagnetic calculation field. To resolve the proble
Publikováno v:
Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022).