| Application of Deep Learning to Combine Clinical and Imaging Data to Localize, Characterize, and Prognosticate Lung Cancer Patients |
Jae Ho Sohn |
UCSF |
NLST |
Apr 4, 2017 |
NLST-297 |
| Efficient estimation of AUC in nested case-control studies |
Anil Chaturvedi |
National Cancer institute |
PLCO |
Mar 31, 2017 |
PLCO-269 |
| Germline genetics of metastasis: an across cancer analysis |
Lisa Mirabello |
National Cancer Institute, NIH |
PLCO |
Mar 29, 2017 |
PLCO-267 |
| A case-crossover study of air pollution exposure and lung cancer related mortality in PLCO |
Jason Wong |
National Cancer Institute |
PLCO |
Mar 24, 2017 |
PLCO-264 |
| Determining the prevalence and misclassification of perifissural nodules in the NLST. |
Anton Schreuder |
Radboudumc |
NLST |
Mar 22, 2017 |
NLST-296 |
| Detection and Diagnosis of Lung Cancer with Deep Learning |
Shan Li |
Zephex Technology |
NLST |
Mar 21, 2017 |
NLST-295 |
| Temporal dietary patterns and diet quality |
Yikyung Park |
Washington University in St. Louis |
IDATA |
Mar 20, 2017 |
IDATA-11 |
| Time-Varying Measurement Error Models |
Raymond Carroll |
Texas A&M University |
IDATA |
Mar 20, 2017 |
IDATA-10 |
| The use of marginal structural model to determine the effect of non-steroidal anti-inflammatory drug use on the risk of prostate and ovarian cancer |
Omonefe Omofuma |
University of south Carolina |
PLCO |
Mar 17, 2017 |
PLCO-265 |
| Molecular characterization of bladder tumors and studies of etiologic heterogeneity in the PLCO Trial |
Stella Koutros |
National Cancer Institute |
PLCO |
Mar 14, 2017 |
2016-0045 |
| Pancreatic Cancer Prediction using Machine Learning |
Akshay Bodkhe |
San Jose State University |
PLCO |
Mar 2, 2017 |
PLCO-259 |
| PSA velocity and prostate cancer mortality in the PLCO Cancer Screening Trial |
Kathryn Barry |
University of Maryland School of Medicine |
PLCO |
Mar 1, 2017 |
PLCO-261 |
| Genetic ancestry of African Americans who have been already genotyped in PLCO |
Neal Freedman |
NCI |
PLCO |
Mar 1, 2017 |
PLCO-263 |
| Building a Common Data Model for Cancer Research |
Guoqian Jiang |
Mayo Clinic |
PLCO |
Feb 25, 2017 |
PLCO-258 |
| BMI, weight change and the risk of colorectal cancer in the PLCO Cancer Screening Trial |
Kathryn Barry |
University of Maryland School of Medicine |
PLCO |
Feb 23, 2017 |
PLCO-260 |
| Fertility, Ectopic Pregnancy, and Ovarian Cancer Risk |
Suneeta Senapati |
University of Pennsylvania Perelman School of Medicine |
PLCO |
Feb 23, 2017 |
PLCO-262 |
| Distributed Automated Tuberculosis and Cancer Diagnosis |
Jochen Nessel |
Rai and Rohl Technologies, Inc. |
PLCO |
Feb 22, 2017 |
PLCO-256 |
| Automated Lung Nodule Detection using Deep Neural Networks |
Kun-Hsing Yu |
President and Fellows of Harvard College |
NLST |
Feb 22, 2017 |
NLST-286 |
| Building a Common Data Model for Cancer Research |
Guoqian Jiang |
Mayo Clinic |
NLST |
Feb 17, 2017 |
NLST-285 |
| Evaluation of Physical Activity and Sedentary Behavior Measures Suitable for Large-scale Epidemiologic Studies |
Charles Matthews |
NIH |
IDATA |
Feb 13, 2017 |
IDATA-9 |
