Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Valdés, Gilmer"'
The CyberKnife system is a robotic radiosurgery platform that allows the delivery of lung SBRT treatments using fiducial-free soft-tissue tracking. However, not all lung cancer patients are eligible for lung tumor tracking. Tumor size, density and lo
Externí odkaz:
http://arxiv.org/abs/2210.05079
Autor:
Chow, Ronald, Hasan, Shaakir, Zheng, Ajay, Gao, Chenxi, Valdes, Gilmer, Yu, Francis, Chhabra, Arpit, Raman, Srinivas, Choi, J. Isabelle, Lin, Haibo, Simone, Charles B., II
Publikováno v:
In Journal of the American College of Radiology November 2024 21(11):1800-1804
Many regression and classification procedures fit a parameterized function $f(x;w)$ of predictor variables $x$ to data $\{x_{i},y_{i}\}_1^N$ based on some loss criterion $L(y,f)$. Often, regularization is applied to improve accuracy by placing a cons
Externí odkaz:
http://arxiv.org/abs/2107.07160
Autor:
Valdes, Gilmer, Scholey, Jessica, Nano, Tomi F., Gennatas, Efstathios D., Mohindra, Pranshu, Mohammed, Nasir, Zeng, Jing, Kotecha, Rupesh, Rosen, Lane R., Chang, John, Tsai, Henry K., Urbanic, James J., Vargas, Carlos E., Yu, Nathan Y., Ungar, Lyle H., Eaton, Eric, Simone, Charles B., II
Publikováno v:
In International Journal of Radiation Oncology, Biology, Physics 1 May 2024 119(1):66-77
Autor:
Sabbagh, Ali, Tilki, Derya, Feng, Jean, Huland, Hartwig, Graefen, Markus, Wiegel, Thomas, Böhmer, Dirk, Hong, Julian C., Valdes, Gilmer, Cowan, Janet E., Cooperberg, Matthew, Feng, Felix Y., Mohammad, Tarek, Shelan, Mohamed, D'Amico, Anthony V., Carroll, Peter R., Mohamad, Osama
Publikováno v:
In European Urology Focus January 2024 10(1):66-74
The growing use of Machine Learning has produced significant advances in many fields. For image-based tasks, however, the use of deep learning remains challenging in small datasets. In this article, we review, evaluate and compare the current state-o
Externí odkaz:
http://arxiv.org/abs/1912.06761
In this article we consider the Conditional Super Learner (CSL), an algorithm which selects the best model candidate from a library conditional on the covariates. The CSL expands the idea of using cross-validation to select the best model and merges
Externí odkaz:
http://arxiv.org/abs/1912.06675
Autor:
Sabbagh, Ali, Washington, Samuel L., 3rd, Tilki, Derya, Hong, Julian C., Feng, Jean, Valdes, Gilmer, Chen, Ming-Hui, Wu, Jing, Huland, Hartwig, Graefen, Markus, Wiegel, Thomas, Böhmer, Dirk, Cowan, Janet E., Cooperberg, Matthew, Feng, Felix Y., Roach, Mack, 3rd, Trock, Bruce J., Partin, Alan W., D'Amico, Anthony V., Carroll, Peter R., Mohamad, Osama
Publikováno v:
In European Urology Oncology October 2023 6(5):501-507
Akademický článek
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Publikováno v:
In International Journal of Radiation Oncology, Biology, Physics 1 August 2022 113(5):1091-1102