| Non lung cancer factors affecting survival in NLST trial |
Malcolm Decamp |
Northwestern Memorial Hospital |
NLST |
Feb 7, 2014 |
NLST-51 |
| prediction of lung cancer at early stage |
prashant naresh |
RVCE |
NLST |
Feb 3, 2014 |
NLST-55 |
| Comparative Study of Lung Cancer Risk Models and Impacts on the Veterans Health Administration (VHA) Screening Process |
Jeffrey Kharoufeh |
University of Pittsburgh |
NLST |
Feb 3, 2014 |
NLST-54 |
| Tensor-based Dictionary Learning for Imaging Biomarkers |
Hengyong Yu |
Wake Forest University Health Sciences |
NLST |
Feb 3, 2014 |
NLST-53 |
| Factors Associated with Inappropriate Use of Head Imaging in the Staging of Early Stage Non Small Cell Lung Cancer |
Alex Balekian |
USC Keck School of Medicine |
NLST |
Jan 27, 2014 |
NLST-49 |
| Application of NLST-calibrated Microsimulation Model |
Chung Yin Kong |
Massachusetts General Hospital |
NLST |
Jan 16, 2014 |
NLST-50 |
| Integration of quantitative CT image-based features and clinical factors to develop more accurate nodule-specific lung cancer risk models and classifiers |
Roshni Bhagalia |
General Electric Global Research Center |
NLST |
Jan 13, 2014 |
NLST-48 |
| Personalized Risk Information in Cost Effectiveness Studies (PRICES) |
David Kent |
Tufts Medical Center |
NLST |
Jan 10, 2014 |
NLST-47 |
| Predict false positive rate for lung cancer screening tests in the NLST data |
ping hu |
NCI |
NLST |
Jan 9, 2014 |
NLST-45 |
| Development of a lung cancer risk score for Veterans |
Nichole Tanner |
Medical University of South Carolina |
NLST |
Jan 9, 2014 |
NLST-46 |
| Size-Driven Simulation Model for Lung Cancer Screening |
Deborah Goldwasser |
Statistical Consultant |
NLST |
Dec 3, 2013 |
NLST-43 |
| Quantitative feature analysis in pathology |
Daniel Rubin |
Stanford University |
NLST |
Oct 30, 2013 |
NLST-40 |
| A Machine Learning Approach for Localizing Cancerous Nodules |
Zachary Hendlin |
M.I.T. |
NLST |
Oct 17, 2013 |
NLST-39 |
| Analyses of NLST data to validate Bach lung risk model and understand natural history of lung cancer to project maximal benefit |
Peter Bach |
Memorial Sloan-Kettering Cancer Center |
NLST |
Sep 12, 2013 |
NLST-36 |
| Personalized Medicine: A New Paradigm of Decision Support for Pulmonary Nodules Using the National Lung Screening Trial Dataset |
James Morrison |
University of Maryland |
NLST |
Sep 12, 2013 |
NLST-35 |
| Microsimulation Model for Lung Cancer Screening: Calibration, Validation and Application |
Sylvia Plevritis |
Stanford University |
NLST |
Sep 9, 2013 |
NLST-34 |
| MULTI-THRESHOLD IMAGE SEGMENTATION FOR LUNG CANCER IMAGE MINING |
samatha gamidi |
kiet |
NLST |
Aug 9, 2013 |
NLST-33 |
| Addressing Knowledge Gaps in Bladder Cancer Screening |
yair lotan |
University of Texas Southwestern Medical Center |
NLST |
Aug 7, 2013 |
NLST-31 |
| Long term lung cancer risk of non-calcified nodules |
Paul Pinsky |
NCI |
NLST |
Aug 2, 2013 |
NLST-30 |
| Assessing the Effect of Increased Medical Surveillance on Thyroid Cancer Incidence in the Prostate Lung Colorectal & Ovarian Cancer Screening Trial and the National Lung Screening Trial: A Pooled Study |
Thomas O'Grady |
University at Albany School of Public Health |
NLST |
Aug 1, 2013 |
NLST-29 |
