José Marcio Luna - Concepedia

Author

José Marcio Luna

Also Known As

J CASTANEDA, J. Castaneda, J. M. Luna, Jose Luna, Jose M. Luna, Jose M. Luna Castaneda, Jose Marcio Luna, Jose- Luna, Jose-Marcio Luna, José Luna

Publications

1.1K

Citations

H-Index

Concepts

All Affiliations

University of Pennsylvania University of California, San Francisco University of New Mexico University of Maryland, Baltimore New York Proton Center

About

José Marcio Luna is an author at University of Pennsylvania specializing in engineering, systems engineering, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	90
2	Business	1	1	14
3	Education	1	1	52
4	Health Sciences	1	1	98
5	Medicine	1	1	98

José Marcio Luna

Publications

526

Citations

H-Index

Page 1

	Year	Citations
MediBoost: a Patient Stratification Tool for Interpretable Decision Making in the Era of Precision Medicine Gilmer Valdés, José Marcio Luna, Eric Eaton, Scientific Reports	2016	121
Predicting radiation pneumonitis in locally advanced stage II–III non-small cell lung cancer using machine learning José Marcio Luna, Hann‐Hsiang Chao, Eric S. Diffenderfer, Radiotherapy and Oncology Machine LearningMedical ImagingHealth SciencesMedicinePredictive Analytics	2019	98
Building more accurate decision trees with the additive tree José Marcio Luna, Efstathios D. Gennatas, Lyle Ungar, Proceedings of the National Academy of Sciences	2019	90
Autonomous cross-domain knowledge transfer in lifelong policy gradient reinforcement learning Haitham Bou Ammar, Eric Eaton, José Marcio Luna, International Conference on Artificial Intelligence Artificial IntelligenceEngineeringMachine LearningEducationMulti-agent Learning	2015	52
An adaptive coverage control algorithm for deployment of nonholonomic mobile sensors José Marcio Luna, Rafael Fierro, Chaouki T. Abdallah, Mobile SensorsEngineeringRobot NetworkNetwork RoboticsField Robotics	2010	24
Development of a robust radiomic biomarker of progression-free survival in advanced non-small cell lung cancer patients treated with first-line immunotherapy Apurva Singh, Hannah Horng, Leonid Roshkovan, Scientific Reports	2022	23
Machine learning highlights the deficiency of conventional dosimetric constraints for prevention of high-grade radiation esophagitis in non-small cell lung cancer treated with chemoradiation José Marcio Luna, Hann‐Hsiang Chao, Russel T. Shinohara, Clinical and Translational Radiation Oncology	2020	19
Exploratory analysis using machine learning to predict for chest wall pain in patients with stage I non‐small‐cell lung cancer treated with stereotactic body radiation therapy Hann‐Hsiang Chao, Gilmer Valdés, José Marcio Luna, Journal of Applied Clinical Medical Physics	2018	18
Impact of Interobserver Variability in Manual Segmentation of Non-Small Cell Lung Cancer (NSCLC) Applying Low-Rank Radiomic Representation on Computed Tomography Michelle Hershman, Bardia Yousefi, Lacey Serletti, Cancers	2021	17
An Adaptive Coverage Control for Deployment of Nonholonomic Mobile Sensor Networks Over Time‐Varying Sensory Functions José Marcio Luna, Rafael Fierro, Chaouki T. Abdallah, Asian Journal of Control Adaptive Coverage ControlMulti-sensor ManagementSystems EngineeringDecentralized Coverage ControlTime‐varying Sensory Functions	2012	16

Page 1