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Approved Projects

Here you can browse the complete list of projects on CDAS whose requests for data/biospecimens were approved.

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Results: 2581 (Showing 1481 to 1500)
Name Principal Investigator Institution Study Date Approved Project ID
Lung cancer investigation based on deep learning; detection, diagnosis and prognosis prediction Chin A Yi Sungkyunkwan University School of Medicine NLST Nov 14, 2017 NLST-366
Using Artificial Intelligence for the automatic interpretation of chest CT images Hugo Aerts Dana-Farber Cancer Institute, Inc. NLST Nov 14, 2017 NLST-374
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
Simulation study as supplement to EEMS proposal 2017-0029, “Circulating Estrogens, Androgens, and Progestogens and Risk of Breast Cancer in the PLCO Cohort”. Barry Graubard National Cancer Institute PLCO Nov 10, 2017 PLCO-326
Computer Tomography (CT) Scan image classification using Artificial Intelligence Manish Chaturvedi Pandit Deendayal Petroleum University NLST Nov 9, 2017 NLST-372
Common genetic variants and ovarian cancer screening in PLCO Nicolas Wentzensen National Cancer Institute, Division of Cancer Epidemiology and Genetics, Clinical Genetics Branch PLCO Nov 8, 2017 PLCO-324
Multivitamin Use, Mortality, and Cancer: Leveraging Repeat Measures to Clarify the Impact of Multivitamin Use on Mortality and Cancer Risk Erikka Loftfield NCI PLCO Nov 8, 2017 PLCO-322
Unsupervised Deep Learning Approach to Characterize the Normal-Appearing Tissue in Lung CT images Kayhan Batmanghelich University of Pittsburgh NLST Nov 7, 2017 NLST-363
Early detection of lung cancer with deep learning and graph databases Rafael Berlanga Universitat Jaume I NLST Nov 6, 2017 NLST-370
Metabolomics Profiles for Colorectal Cancer Risk Prediction within prospective Cohorts in th COMETS Consortium Jennifer Ose Huntsman Cancer Institute, University of Utah PLCO Oct 31, 2017 PLCO-320
Association between total energy expenditure, physical activity, and sedentary time in older adults Erik Willis National Cancer Institute IDATA Oct 31, 2017 IDATA-18
Does Exclusion of Extreme Reporters of Energy Intake Make Results Less Biased in Nutrition Studies? Keisuke Ejima Indiana University IDATA Oct 31, 2017 IDATA-17
The interaction effect of sleep and physical activity on energy expenditure. Gregory Knell The University of Texas Health Science Center (UTHealth) at Houston IDATA Oct 31, 2017 IDATA-16
Neural Network for Detection of Prostate Cancer. Przemysław Świderski Lodz University of Technology PLCO Oct 31, 2017 PLCO-319
Deep Learning on Lung CT Elliot Smith Maxwell MRI NLST Oct 27, 2017 NLST-365
Association between race and follow-up diagnostic care after a positive lung cancer screening test in the National Lung Cancer Screening Trial Joanna Sesti Robert Wood Johnson Barnabas Health NLST Oct 26, 2017 NLST-369
Early diagnosis of lung cancer applying deep neural networks using computerized tomography images Jonathan Domínguez CIDESI NLST Oct 25, 2017 NLST-368
Deep learning and other automated techniques for predicting incident cardiovascular death and cancer from lung cancer screening CT Michael Lu The General Hospital Corporation d/b/a Massachusetts General Hospital NLST Oct 25, 2017 NLST-367
Life years gained by screening in the NLST Hormuzd Katki National Cancer Institute NLST Oct 23, 2017 NLST-364
Testing for association between month of birth and circulating levels of vitamin D among participants in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial Lahiru Handunnetthi University of Oxford PLCO Oct 23, 2017 PLCO-318