Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Thomas Ren"'
Autor:
Hongyi Duanmu, Thomas Ren, Haifang Li, Neil Mehta, Adam J. Singer, Jeffrey M. Levsky, Michael L. Lipton, Tim Q. Duong
Publikováno v:
BioMedical Engineering OnLine, Vol 21, Iss 1, Pp 1-15 (2022)
Abstract Objectives To use deep learning of serial portable chest X-ray (pCXR) and clinical variables to predict mortality and duration on invasive mechanical ventilation (IMV) for Coronavirus disease 2019 (COVID-19) patients. Methods This is a retro
Externí odkaz:
https://doaj.org/article/5b51603da42c474c8105e9987198270a
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0280320 (2023)
PurposeTo predict pathological complete response (pCR) after neoadjuvant chemotherapy using extreme gradient boosting (XGBoost) with MRI and non-imaging data at multiple treatment timepoints.Material and methodsThis retrospective study included breas
Externí odkaz:
https://doaj.org/article/f178755a3c5d48b18b0cf9eb21041bba
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0280148 (2023)
The goal of this study was to employ novel deep-learning convolutional-neural-network (CNN) to predict pathological complete response (PCR), residual cancer burden (RCB), and progression-free survival (PFS) in breast cancer patients treated with neoa
Externí odkaz:
https://doaj.org/article/9668dcc2c26a495894e8d7fa9454fc58
Autor:
Olsson, Lina, Thomas, Ren
Publikováno v:
Mobilities; Aug2024, Vol. 19 Issue 4, p663-685, 23p
Autor:
Bates, Lisa K.1 (AUTHOR) lkbates@pdx.edu, Thomas, Ren2 (AUTHOR) Ren.thomas@dal.ca, Hope, Anna3 (AUTHOR) anna2.hope@live.uwe.ac.uk, Taylor, Mary (AUTHOR) Maryt37@hotmail.com, Chance, Tom4 (AUTHOR) tom@communitylandtrusts.org.uk, Wang, Ruoniu5 (AUTHOR) vwang@groundedsolutions.org, Thaden, Emily5 (AUTHOR) ethaden@groundedsolutions.org, Lowe, Jeffrey S.6 (AUTHOR) jeffrey.lowe@tsu.edu, Malson, Hilary7 (AUTHOR) hmalson@ucla.edu
Publikováno v:
Planning Theory & Practice. May2022, Vol. 23 Issue 2, p267-302. 36p.
Autor:
Thomas, Ren
Publikováno v:
Landscape Architecture, 2004 Jun 01. 94(6), 60-66.
Externí odkaz:
https://www.jstor.org/stable/44675121
Autor:
Thomas, Ren, Bertolini, Luca
Publikováno v:
Journal of Transport and Land Use, 2017 Jan 01. 10(1), 139-154.
Externí odkaz:
https://www.jstor.org/stable/26211725
Publikováno v:
Clinical Breast Cancer. 22:170-177
Background Accurate assessment of the axillary lymph nodes (aLNs) in breast cancer patients is essential for prognosis and treatment planning. Current radiological staging of nodal metastasis has poor accuracy. This study aimed to investigate the mac
Autor:
Thomas, Ren
Publikováno v:
Plan Canada; Fall2023, Vol. 63 Issue 3, p34-37, 4p