121 citations · 188 across the 5 of their papers we have counts for
5 papers
Predicting successful clinical candidates for fiducial-free lung tumor tracking with a deep learning binary classification model
Matthieu Lafrenière, Gilmer Valdes, Martina Descovich
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 pat…
Lockout: Sparse Regularization of Neural Networks
Gilmer Valdes, Wilmer Arbelo, Yannet Interian +1
Many regression and classification procedures fit a parameterized function of predictor variables to data based on some loss criterion .…
Targeted transfer learning to improve performance in small medical physics datasets
Miguel Romero, Yannet Interian, Timothy Solberg +1
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…
Expert-Augmented Machine Learning
E. D. Gennatas, J. H. Friedman, L. H. Ungar +10
Machine Learning is proving invaluable across disciplines. However, its success is often limited by the quality and quantity of available data, while its adoption by the level of t…
Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees
José Marcio Luna, Eric Eaton, Lyle H. Ungar +7
Additive models, such as produced by gradient boosting, and full interaction models, such as classification and regression trees (CART), are widely used algorithms that have been i…