Approved Projects
Here you can browse the complete list of projects on CDAS whose requests for data/biospecimens were approved.
Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
---|---|---|---|---|---|
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 |
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 |
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 |
Genetic Predictors of Prostate Cancer Survival | Robert Klein | Icahn School of Medicine at Mount Sinai | PLCO | Jul 31, 2018 | PLCO-386 |
Computerized Early Diagnosis of Lung Cancer | Mengjie Shen | The University of Auckland | NLST | Jul 31, 2018 | NLST-431 |