José Marcio Luna
Washington University in St. Louis(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, Distributed Control Multi-Agent Systems, Cloud Computing and Resource Management, Modular Robots and Swarm Intelligence
Most-Cited Works
- → MediBoost: a Patient Stratification Tool for Interpretable Decision Making in the Era of Precision Medicine(2016)122 cited
- → Predicting radiation pneumonitis in locally advanced stage II–III non-small cell lung cancer using machine learning(2019)99 cited
- → Building more accurate decision trees with the additive tree(2019)94 cited
- Autonomous cross-domain knowledge transfer in lifelong policy gradient reinforcement learning(2015)
- → An adaptive coverage control algorithm for deployment of nonholonomic mobile sensors(2010)24 cited
- → Development of a robust radiomic biomarker of progression-free survival in advanced non-small cell lung cancer patients treated with first-line immunotherapy(2022)23 cited
- → 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(2020)19 cited
- → Impact of Interobserver Variability in Manual Segmentation of Non-Small Cell Lung Cancer (NSCLC) Applying Low-Rank Radiomic Representation on Computed Tomography(2021)18 cited
- → 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(2018)18 cited
- → An Adaptive Coverage Control for Deployment of Nonholonomic Mobile Sensor Networks Over Time‐Varying Sensory Functions(2012)16 cited