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José Marcio Luna
José Marcio Luna
Assistant Professor, Mallinckrodt Institute of Radiology, Washington University in St. Louis
Verified email at wustl.edu - Homepage
Title
Cited by
Cited by
Year
Expert-augmented machine learning
ED Gennatas, JH Friedman, LH Ungar, R Pirracchio, E Eaton, ...
Proceedings of the National Academy of Sciences 117 (9), 4571-4577, 2020
1572020
MediBoost: a patient stratification tool for interpretable decision making in the era of precision medicine
G Valdes, JM Luna, E Eaton, CB Simone, LH Ungar, TD Solberg
Scientific reports 6 (1), 37854, 2016
1472016
Autonomous cross-domain knowledge transfer in lifelong policy gradient reinforcement learning
HB Ammar, E Eaton, JM Luna, P Ruvolo
International Joint Conference on Artificial Intelligence, 3345-3351, 2015
1162015
Building more accurate decision trees with the additive tree
JM Luna, ED Gennatas, LH Ungar, E Eaton, ES Diffenderfer, ST Jensen, ...
PNAS, 2019
1082019
Predicting radiation pneumonitis in locally advanced stage II–III non-small cell lung cancer using machine learning
JM Luna, HH Chao, ES Diffenderfer, G Valdes, C Chinniah, G Ma, ...
Radiotherapy and Oncology 133, 106-112, 2019
1072019
An adaptive coverage control algorithm for deployment of nonholonomic mobile sensors
JM Luna, R Fierro, CT Abdallah, J Wood
IEEE Conference on Decision and Control (CDC), 1250, 2010
332010
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
HH Chao, G Valdes, JM Luna, M Heskel, AT Berman, TD Solberg, ...
Journal of applied clinical medical physics 19 (5), 539-546, 2018
232018
Impact of interobserver variability in manual segmentation of non-small cell lung cancer (NSCLC) applying low-rank radiomic representation on computed tomography
M Hershman, B Yousefi, L Serletti, M Galperin-Aizenberg, L Roshkovan, ...
Cancers 13 (23), 5985, 2021
202021
Machine learning highlights the deficiency of conventional dosimetric constraints for prevention of high-grade radiation esophagitis in non-small cell lung cancer treated with …
JM Luna, HH Chao, RT Shinohara, LH Ungar, KA Cengel, DA Pryma, ...
Clinical and Translational Radiation Oncology 22, 69-75, 2020
202020
An adaptive coverage control for deployment of nonholonomic mobile sensor networks over time‐varying sensory functions
JM Luna, R Fierro, CT Abdallah, J Wood
Asian Journal of Control 15 (4), 988-1000, 2013
192013
Development of a robust radiomic biomarker of progression-free survival in advanced non-small cell lung cancer patients treated with first-line immunotherapy
A Singh, H Horng, L Roshkovan, JK Weeks, M Hershman, P Noël, ...
Scientific reports 12 (1), 9993, 2022
182022
Control in computing systems.
JM Luna, CT Abdallah
CACSD, 32-36, 2011
16*2011
Design of a low-cost platform for autonomous mobile service robots
E Eaton, C Mucchiani, M Mohan, D Isele, JM Luna, C Clingerman
IJCAI workshop on autonomous mobile service robots, 2016
152016
Radiomic phenotypes for improving early prediction of survival in stage III non-small cell lung cancer adenocarcinoma after chemoradiation
JM Luna, AR Barsky, RT Shinohara, L Roshkovan, M Hershman, ...
Cancers 14 (3), 700, 2022
142022
Multi-vehicle testbed for decentralized environmental sensing
RA Cortez, JM Luna, R Fierro, J Wood
2010 IEEE International Conference on Robotics and Automation, 3052-3058, 2010
132010
Lifelong learning for disturbance rejection on mobile robots
D Isele, JM Luna, E Eaton, GV De La Cruz, J Irwin, B Kallaher, ME Taylor
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
122016
Probabilistic Optimization of Resource Distribution and Encryption for Data Storage in the Cloud
JM Luna, CT Abdallah, GL Heileman
IEEE Transactions on Cloud Computing 6 (2), 428-439, 2016
122016
Radiologic imaging biomarkers in triple-negative breast cancer: a literature review about the role of artificial intelligence and the way forward
K Bhalla, Q Xiao, JM Luna, E Podany, T Ahmad, FO Ademuyiwa, A Davis, ...
BJR| Artificial Intelligence 1 (1), ubae016, 2024
102024
Correlative hierarchical clustering-based low-rank dimensionality reduction of radiomics-driven phenotype in non-small cell lung cancer
B Yousefi, N Jahani, MJ LaRiviere, E Cohen, MK Hsieh, JM Luna, ...
Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and …, 2019
102019
Provisioning security and performance optimization for dynamic cloud environments
V Nandina, JM Luna, CC Lamb, GL Heileman, CT Abdallah
2014 IEEE 7th International Conference on Cloud Computing, 979-981, 2014
72014
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Articles 1–20