| Perfluoroalkyl Substances (PFASs) and Liver Cancer Risk in the United States |
Xuehong Zhang |
Yale University |
PLCO |
Dec 22, 2020 |
2020-1001 |
| Updates in lethal prostate cancer in the PLCO trial |
Jonathan Shoag |
Weill Cornell Medicine |
PLCO |
Dec 21, 2020 |
PLCO-701 |
| Convolutional Survival Machines: Deep Convolutional Networks for Survival Analysis with Time-Varying risks. |
Artur Dubrawski |
Carnegie Mellon University |
PLCO |
Dec 21, 2020 |
PLCOI-706 |
| Diabetes, antidiabetic medication use, and the risk of ovarian cancer |
Susan Steck |
University of South Carolina |
PLCO |
Dec 21, 2020 |
PLCO-705 |
| Artificial Intelligence To Predict The Risk Of Malignancy In Lung Cancer By Low-Dose CT Screening Studies |
Christian Salvatore |
DeepTrace Technologies, spin-off of University School for Advanced Studies IUSS Pavia |
NLST |
Dec 21, 2020 |
NLST-739 |
| Convolutional Survival Machines: Deep Convolutional Networks for Survival Analysis with Time-Varying risks. |
Artur Dubrawski |
Carnegie Mellon University |
NLST |
Dec 21, 2020 |
NLST-738 |
| Evaluation of a Lung Lesion Detection Tool |
Hajime Sasaki |
Hitachi Lyon Lab, Hitachi Medical Systems S.A.S. |
NLST |
Dec 18, 2020 |
NLST-736 |
| Lung segmentation analysis tool |
Olivier Joly |
Brainomix |
NLST |
Dec 11, 2020 |
NLST-733 |
| Dietary biomarker development in the Interactive Diet and Activity Tracking in AARP Study |
Erikka Loftfield |
National Cancer Institute |
IDATA |
Dec 11, 2020 |
2020-1014 |
| Image Analysis of Lung CT Images |
Kevin Bowyer |
University of Notre Dame |
NLST |
Dec 8, 2020 |
NLST-731 |
| Identifying risk factors associated with metastatic progression from non-metastatic primary lung cancer among NLST lung cancer patients |
Summer Han |
Stanford University |
NLST |
Dec 8, 2020 |
NLST-732 |
| Genome-wide Association Study of Colorectal Cancer Using Penalized Orthogonal Components Regression |
Min Zhang |
Purdue University |
PLCO |
Dec 2, 2020 |
PLCO-697 |
| HDoCS in PLCO: Health Disparities of Cancer Survivors in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial |
Jacqueline Vo |
National Cancer Institute |
PLCO |
Dec 2, 2020 |
PLCO-696 |
| Deep learning for identification of spread through air spaces (STAS) and prediction of survival of lung adenocarcinoma using pathology images |
I-Fang Chung |
Institute of Biomedical Informatics, National Yang-Ming University, Taiwan |
NLST |
Dec 2, 2020 |
NLST-730 |
| Nonlinear performance analysis and prediction for robust low dose lung CT |
Grace Gang |
Johns Hopkins University |
NLST |
Nov 17, 2020 |
NLST-728 |
| Applying Machine Learning on available datasets to derive knowledge |
Shalini Madhan |
st josephs college of engineering |
PLCO |
Nov 17, 2020 |
PLCO-690 |
| Machine Learning for Colorectal Cancer Risk Prediction |
Ling Zheng |
Monmouth University |
PLCO |
Nov 17, 2020 |
PLCO-687 |
| Evaluate the impact of ovarian cancer interventions for primary prevention, screening and treatment |
Iakovos Toumazis |
The University of Texas MD Anderson Cancer Center |
PLCO |
Nov 17, 2020 |
PLCO-689 |
| Deep learning based cancer grading for early detection from histology image biostatistics |
Ahmet Coskun |
Georgia Institute of Technology |
PLCO |
Nov 17, 2020 |
PLCOI-695 |
| Using clinicopathological data to determine risk of metachronous advanced colorectal neoplasia among patients with adenomas |
Laura Hester |
Janssen Research and Development, LLC |
PLCO |
Nov 17, 2020 |
PLCO-688 |
