Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Deppen, Steve"'
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
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
Autor:
Kammer, Michael N., Mori, Hidetoshi, Rowe, Dianna J., Chen, Sheau-Chiann, Vasiukov, Georgii, Atwater, Thomas, Senosain, Maria Fernanda, Antic, Sanja, Zou, Yong, Chen, Heidi, Peikert, Tobias, Deppen, Steve, Grogan, Eric L., Massion, Pierre P., Dubinett, Steve, Lenburg, Marc, Borowsky, Alexander, Maldonado, Fabien
Publikováno v:
In JTO Clinical and Research Reports September 2023 4(9)
Autor:
Gao, Riqiang, Huo, Yuankai, Bao, Shunxing, Tang, Yucheng, Antic, Sanja L., Epstein, Emily S., Balar, Aneri B., Deppen, Steve, Paulson, Alexis B., Sandler, Kim L., Massion, Pierre P., Landman, Bennett A.
The field of lung nodule detection and cancer prediction has been rapidly developing with the support of large public data archives. Previous studies have largely focused on cross-sectional (single) CT data. Herein, we consider longitudinal data. The
Externí odkaz:
http://arxiv.org/abs/1909.05321
Autor:
Gao, Riqiang, Huo, Yuankai, Bao, Shunxing, Tang, Yucheng, Antic, Sanja L., Epstein, Emily S., Deppen, Steve, Paulson, Alexis B., Sandler, Kim L., Massion, Pierre P., Landman, Bennett A.
Publikováno v:
In Neurocomputing 15 July 2020 397:48-59
Autor:
Xu, Kaiwen, Gao, Riqiang, Tang, Yucheng, Deppen, Steve A., Sandler, Kim L., Kammer, Michael N., Antic, Sanja L., Maldonado, Fabien, Huo, Yuankai, Khan, Mirza S., Landman, Bennett A.
Publikováno v:
Proc SPIE Int Soc Opt Eng
Certain body composition phenotypes, like sarcopenia, are well established as predictive markers for post-surgery complications and overall survival of lung cancer patients. However, their association with incidental lung cancer risk in the screening
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