NCI Bladder GWAS |
Stella Koutros |
National Cancer Institute |
PLCO |
Mar 30, 2022 |
PLCO-957 |
NCI Consortium Liver Cancer Pooling Project |
Katherine McGlynn |
NCI, DCEG, HREB |
PLCO |
Aug 31, 2011 |
2011-0187 |
Neighborhood disadvantage and aggressive prostate cancer among African American and European American men |
Kathryn Barry |
University of Maryland, Baltimore |
PLCO |
Dec 26, 2023 |
PLCO-1428 |
Neural Network AI detection of Breast cancer (Education) |
Hudson Leslie |
Kingwood Park High School |
PLCO |
Apr 2, 2024 |
PLCO-1524 |
Neural Network Application in Medical Research with Concentration on Breast Cancer |
Chenying Lu |
Harrisburg University |
PLCO |
Mar 21, 2019 |
PLCO-462 |
Neural Network for Detection of Cancer |
Przemysław Świderski |
Lodz University of Technology |
PLCO |
Mar 9, 2018 |
PLCO-348 |
Neural Network for Detection of Prostate Cancer. |
Przemysław Świderski |
Lodz University of Technology |
PLCO |
Oct 31, 2017 |
PLCO-319 |
New Epidemiologic Methods for Reducing Measurement Error and Misclassification Bias in Cancer Epidemiology |
Donna Spiegelman |
Yale University |
IDATA |
Aug 22, 2024 |
IDATA-79 |
New image features for automatically discrimination of patients with/without lung cancer |
Consuelo Gonzalo Martin |
UNIVERSIDAD POLITECNICA DE MADRID |
NLST |
Nov 14, 2017 |
NLST-373 |
New Machine Learning Methods for Lung Nodule Detection and Classification to Optimize Cancer Screening |
Maxine Tan |
Monash University Malaysia |
NLST |
Jun 13, 2019 |
NLST-522 |
New statistical approaches for adjusting seasonal variation in vitamin D concentration measurement, with application in the PLCO nested case-control study of serum vitamin D concentration and prostate cancer risk |
Kai Yu |
NCI, DCEG, BB |
PLCO |
Nov 11, 2009 |
2009-0006 |
New Statistical Methods for the Analysis of Longitudinal Compositional Data |
Erika Shults |
Southern Methodist University |
IDATA |
Jan 24, 2025 |
IDATA-88 |
Next Lung Subcommittee Paper: Analysis of T0-T3 data. |
William Hocking |
Marshfield Clinic |
PLCO |
Jul 1, 2006 |
2006-0140 |
NLP and Machine Vision for Development of Predictive Models to Determine Lung Cancer Risk on Basis of CT Images and Social History. |
Joey Bargo |
MedMyne |
NLST |
Sep 19, 2017 |
NLST-350 |
NLST lung cancer distribution during screening and post-screening |
Rowena Yip |
Icahn School of Medicine at Mount Sinai |
NLST |
Jun 6, 2013 |
NLST-20 |
NLST Results by Age |
Paul Pinsky |
NCI |
NLST |
May 5, 2014 |
NLST-71 |
NLST screen detected cardiovascular disease - impact on mortality and lung cancer screening |
Martin Tammemagi |
Brock University |
NLST |
Sep 21, 2015 |
NLST-162 |
Nodule identification and classification in Lung screening |
Estanislao OUBEL |
Median Technologies |
NLST |
Oct 18, 2017 |
NLST-362 |
Nodule Identification for Lung Screening |
Osama Masoud |
Vital Images |
NLST |
Sep 22, 2017 |
NLST-353 |
Nodule malignancy prediction using deep learning and advanced statistics |
Miguel Angel Gonzalez Ballester |
UPF |
NLST |
May 15, 2018 |
NLST-412 |