Zobrazeno 1 - 10
of 967
pro vyhledávání: '"Massion P"'
Autor:
Rousseaux F, Bicego A, Ledoux D, Massion P, Nyssen AS, Faymonville ME, Laureys S, Vanhaudenhuyse A
Publikováno v:
Journal of Pain Research, Vol Volume 13, Pp 1129-1138 (2020)
Floriane Rousseaux,1– 3 Aminata Bicego,1– 3 Didier Ledoux,3,4 Paul Massion,4 Anne-Sophie Nyssen,1,3 Marie-Elisabeth Faymonville,2 Steven Laureys,5 Audrey Vanhaudenhuyse2,3 1Laboratory of Cognitive Ergonomics and Work Intervention, University of L
Externí odkaz:
https://doaj.org/article/70ec50e2af304464a72101a8e39c4248
Autor:
Ken Arimura, Michael Kammer, S. M. Jamshedur Rahman, Chen Sheau-Chiann, Shilin Zhao, Chen Heidi, Rosana Eisenberg, Yong Zou, Sanja Antic, Bradley Richmond, Etsuko Tagaya, Eric Grogan, Pierre Massion, Fabien Maldonado
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background We recently found that epiplakin 1 (EPPK1) alterations were present in 12% of lung adenocarcinoma (LUAD) cases and were associated with a poor prognosis in early-stage LUAD when combined with other molecular alterations. This stud
Externí odkaz:
https://doaj.org/article/ad887a0fd0014d37a1ebaaccf119ec41
Autor:
Izadinia, Niloufar, Ramyar, Elham, Alzayer, Maytham, Carr, Stephen H., Cusatis, Gianluca, Dwivedi, Vidushi, Garcia, Daniel J., Hettiarachchi, Missaka, Massion, Thomas, Miller, William M., Wächter, Andreas
This paper proposes an optimization framework for sustainable post-disaster building reconstruction. Based on mathematical optimization, it is intended to provide decision-makers with a versatile tool to optimize building designs and to explore the t
Externí odkaz:
http://arxiv.org/abs/2111.13178
Autor:
Gao, Riqiang, Khan, Mirza S., Tang, Yucheng, Xu, Kaiwen, Deppen, Steve, Huo, Yuankai, Sandler, Kim L., Massion, Pierre P., Landman, Bennett A.
Image Quality Assessment (IQA) is important for scientific inquiry, especially in medical imaging and machine learning. Potential data quality issues can be exacerbated when human-based workflows use limited views of the data that may obscure digital
Externí odkaz:
http://arxiv.org/abs/2107.12842
Autor:
Gao, Riqiang, Tang, Yucheng, Xu, Kaiwen, Lee, Ho Hin, Deppen, Steve, Sandler, Kim, Massion, Pierre, Lasko, Thomas A., Huo, Yuankai, Landman, Bennett A.
Data from multi-modality provide complementary information in clinical prediction, but missing data in clinical cohorts limits the number of subjects in multi-modal learning context. Multi-modal missing imputation is challenging with existing methods
Externí odkaz:
http://arxiv.org/abs/2107.11882
Cancer-associated fibroblasts in early-stage lung adenocarcinoma correlate with tumor aggressiveness
Autor:
Georgii Vasiukov, Yong Zou, Maria-Fernanda Senosain, Jamshedur S. M. Rahman, Sanja Antic, Katherine M. Young, Eric L. Grogan, Michael N. Kammer, Fabien Maldonado, Cynthia A. Reinhart-King, Pierre P. Massion
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Lung adenocarcinoma (LUAD) is the predominant type of lung cancer in the U.S. and exhibits a broad variety of behaviors ranging from indolent to aggressive. Identification of the biological determinants of LUAD behavior at early stages can i
Externí odkaz:
https://doaj.org/article/0aa600558c58426ca5beeb5b7def2354
Autor:
Daniel J. Craig, Erin L. Crawford, Heidi Chen, Eric L. Grogan, Steven A. Deppen, Thomas Morrison, Sanja L. Antic, Pierre P. Massion, James C. Willey
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background There is a need for biomarkers that improve accuracy compared with current demographic risk indices to detect individuals at the highest lung cancer risk. Improved risk determination will enable more effective lung cancer screenin
Externí odkaz:
https://doaj.org/article/132d8247a9a24f2c96428fa8c097bbfb
Autor:
Xu, Kaiwen, Gao, Riqiang, Khan, Mirza S., Bao, Shunxing, Tang, Yucheng, Deppen, Steve A., Huo, Yuankai, Sandler, Kim L., Massion, Pierre P., Heinrich, Mattias P., Landman, Bennett A.
A major goal of lung cancer screening is to identify individuals with particular phenotypes that are associated with high risk of cancer. Identifying relevant phenotypes is complicated by the variation in body position and body composition. In the br
Externí odkaz:
http://arxiv.org/abs/2012.03124
Autor:
Gao, Riqiang, Tang, Yucheng, Xu, Kaiwen, Kammer, Michael N., Antic, Sanja L., Deppen, Steve, Sandler, Kim L., Massion, Pierre P., Huo, Yuankai, Landman, Bennett A.
Clinical data elements (CDEs) (e.g., age, smoking history), blood markers and chest computed tomography (CT) structural features have been regarded as effective means for assessing lung cancer risk. These independent variables can provide complementa
Externí odkaz:
http://arxiv.org/abs/2010.09524
Autor:
Yang, Yiyuan, Gao, Riqiang, Tang, Yucheng, Antic, Sanja L., Deppen, Steve, Huo, Yuankai, Sandler, Kim L., Massion, Pierre P., Landman, Bennett A.
Recently, multi-task networks have shown to both offer additional estimation capabilities, and, perhaps more importantly, increased performance over single-task networks on a "main/primary" task. However, balancing the optimization criteria of multi-
Externí odkaz:
http://arxiv.org/abs/1912.07167