| Lung nodule detection algorithms on CT low dose scans. |
Jean Jeudy |
University of Maryland School of Medicine |
NLST |
Sep 4, 2018 |
NLST-440 |
| Using deep learning approach to identify lung cancer and pulmonary tuberculosis |
Yuan Wang |
Washington State University |
NLST |
Sep 4, 2018 |
NLST-439 |
| Artificial Intelligence Based Detection and Radiomics Analysis of Lung Nodules from Lung Screening CT |
Yin-Hung Lin |
Taiwan AI Labs |
NLST |
Sep 4, 2018 |
NLST-441 |
| Time to Event Prediction Based on Risk Calculation from Biomarkers |
Anna Lokshin |
University of Pittsburgh |
PLCO |
Sep 4, 2018 |
PLCO-395 |
| Chest-Xray Image Analysis |
Hayit Greenspan |
RadLogics |
PLCO |
Sep 4, 2018 |
PLCO-396 |
| Personalized Dynamic Risk-based Lung Cancer Screening |
Sylvia Plevritis |
Stanford University |
NLST |
Aug 30, 2018 |
NLST-438 |
| Chest CT Image Analysis |
Hayit Greenspan |
RadLogics |
NLST |
Aug 28, 2018 |
NLST-436 |
| PSA and CA125 in relation to epidemiologic, serologic, and genetic data and cancer risk in PLCO |
Michael Cook |
NCI |
PLCO |
Aug 23, 2018 |
PLCO-394 |
| Using generative adversarial neural network to diagnose benign pulmonary nodules in lung cancer screening trial |
Guangming Lu |
Department of Medical Imaging, Jinling Hospital |
NLST |
Aug 22, 2018 |
NLST-435 |
| Use of previous-day recalls of physical activity and sedentary behavior in epidemiologic studies: results from four instruments |
Charles Matthews |
NCI / DCEG / Metabolic Epidemiology Branch |
IDATA |
Aug 21, 2018 |
IDATA-25 |
| Harmonisation of physical activity measures |
Soren Brage |
MRC Epidemiology Unit, University of Cambridge |
IDATA |
Aug 21, 2018 |
IDATA-24 |
| The Association between Dietary Advanced Glycation End-Products (dAGE) and Breast and Ovarian Cancers in the PLCO Study |
Omonefe Omofuma |
University of South Carolina |
PLCO |
Aug 20, 2018 |
PLCO-393 |
| Thoracic Disease Classification and Localization on Chest X-rays |
Junzhou Huang |
The University of Texas at Arlington |
PLCO |
Aug 20, 2018 |
PLCO-391 |
| Stratifying Cancer Risks for Individuals Based on Deep Learning of PLCO Data |
Jun Deng |
Yale University |
PLCO |
Aug 10, 2018 |
PLCO-392 |
| Development of a pan-cancer prognostic neural network model |
Kyunghyun Paeng |
Lunit |
PLCO |
Aug 10, 2018 |
PLCO-388 |
| Synthesizing training data for clinical visual question answering |
Dina Demner-Fushman |
NLM |
PLCO |
Aug 9, 2018 |
PLCO-389 |
| Using machine learning to predict risk from clinical factors and medical image |
Qiang CAO |
Independent |
PLCO |
Aug 9, 2018 |
PLCO-390 |
| Functional Relationships between Body Composition, Energy Expenditure and Daily Food Intake |
Mark Hopkins |
University of Leeds |
IDATA |
Aug 6, 2018 |
IDATA-23 |
| Assessing Risk of Cancer Developments Using the PLCO Data |
Amit Bhatnagar |
University of Wisconsin - Milwaukee |
PLCO |
Aug 1, 2018 |
PLCO-385 |
| Lung nodule and lung disease detection algorithms on CT and X ray images. |
Joseph Chui |
Ferrum Health Inc |
NLST |
Aug 1, 2018 |
NLST-434 |
