| Lung cancer incidence and mortality in National Lung Screening Trial participants who underwent low-dose CT prevalence screening: a retrospective cohort analysis of a randomised, multicentre, diagnostic screening trial. |
27009070
|
Patz EF, Greco E, Gatsonis C, Pinsky P, Kramer BS, Aberle DR |
Lancet Oncol. |
2016 |
NLST |
| Did death certificates and a death review process agree on lung cancer cause of death in the National Lung Screening Trial? |
27006427
|
Marcus PM, Doria-Rose VP, Gareen IF, Brewer B, Clingan K, Keating K, Rosenbaum J, Rozjabek HM, Rathmell J, Sicks J, Miller AB |
Clin Trials |
2016 |
NLST |
| CANARY Risk Management of Adenocarcinoma: The Future of Imaging? |
|
Finbar Foley
, Srinivasan Rajagopalan
, Sushravya M. Raghunath
, Jennifer M. Boland
, Ronald A. Karwoski
, Fabien Maldonado
, Brian J. Bartholmai
, Tobias Peikert
, |
j.semtcsv |
2016 |
NLST |
| Normative reference values of thoracic aortic diameter in American College of Radiology Imaging Network (ACRIN 6654) arm of National Lung Screening Trial. |
27203287
|
McComb BL, Munden RF, Duan F, Jain AA, Tuite C, Chiles C |
Clin Imaging |
2016 |
NLST |
| Development and Validation of Risk Models to Select Ever-Smokers for CT Lung Cancer Screening. |
27179989
|
Katki HA, Kovalchik SA, Berg CD, Cheung LC, Chaturvedi AK |
JAMA |
2016 |
NLST |
| The Potential Clinical, Resource Use, And Fiscal Impacts of Lung-Rads To Inform Lung Cancer Screening In Medicare |
|
J. Roth, S.D. Sullivan, S. Ramsey, B. Goulart |
Val Health |
2016 |
NLST |
| Lung Cancer Deaths in the National Lung Screening Trial Attributed to Nonsolid Nodules. |
27378239
|
Yip R, Yankelevitz DF, Hu M, Li K, Xu DM, Jirapatnakul A, Henschke CI |
Radiology |
2016 |
NLST |
| Factors Associated with a Positive Baseline Screening Exam Result in the National Lung Screening Trial. |
27387658
|
Balekian AA, Tanner NT, Fisher JM, Silvestri GA, Gould MK |
Ann Am Thorac Soc |
2016 |
NLST |
| Implementing low-dose computed tomography screening for lung cancer in Canada: implications of alternative at-risk populations, screening frequency, and duration. |
27330355
|
Evans WK, Flanagan WM, Miller AB, Goffin JR, Memon S, Fitzgerald N, Wolfson MC |
Curr Oncol |
2016 |
NLST |
| Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network. |
27664507
|
Petousis P, Han SX, Aberle D, Bui AA |
Artif Intell Med |
2016 |
NLST |
| Estimation of the tumor size at cure threshold among aggressive non-small cell lung cancers (NSCLCs): evidence from the surveillance, epidemiology, and end results (SEER) program and the national lung screening trial (NLST). |
27925181
|
Goldwasser DL |
Int. J. Cancer |
2016 |
NLST |
| The Vancouver Lung Cancer Risk Prediction Model: Assessment by Using a Subset of the National Lung Screening Trial Cohort. |
27740906
|
White CS, Dharaiya E, Campbell E, Boroczky L |
Radiology |
2016 |
NLST |
| Evaluating Long-Term Outcomes via Computed Tomography in Lung Cancer Screening |
|
Dongfeng Wu, Ruiqi Liu, Beth Levitt, Tom Riley, Kathy B. Baumgartner |
J Biom Biostat |
2016 |
NLST |
| Detecting 10,000 Cells in One Second |
|
Zheng Xu
, Junzhou Huang |
MICCAI 2016 |
2016 |
NLST |
| Efficient lung cancer cell detection with deep convolution neural network. |
|
Zheng Xu
, Junzhou Huang |
Patch-MI 2015 |
2016 |
NLST |
| An effective approach for robust lung cancer cell detection. |
|
Hao Pan
, Zheng Xu
, Junzhou Huang |
Patch-MI 2015 |
2016 |
NLST |
| Imaging Biomarker Discovery for Lung Cancer Survival Prediction |
|
Jiawen Yao
, Sheng Wang
, Xinliang Zhu
, Junzhou Huang |
MICCAI 2016 |
2016 |
NLST |
| Fast Regions-of-Interest Detection in Whole Slide Histopathology Images |
|
Ruoyu Li
, Junzhou Huang |
Patch-MI 2015 |
2016 |
NLST |
| Deep convolutional neural network for survival analysis with pathological images |
|
Xinliang Zhu
, Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, USA
, Jiawen Yao
, Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, USA
, Junzhou… |
IEEE |
2016 |
NLST |
| Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor |
|
De Vos, Bob & Viergever, Max & Jong, Pim & Išgum, Ivana |
Lecture Notes in Computer Science |
2016 |
NLST |
