Skip to Main Content
An official website of the United States government
Scheduled Maintenance: CDAS will be undergoing maintenance on Saturday, April 4th from 7:30 AM to 9:30 AM U.S. Eastern Standard Time for updates to the website. During this time you may experience intermittent downtime.

Approved Projects

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

Reset
Showing Most Recent
1561-1580 of 2670
Name Principal Investigator Institution Study Date Approved Project ID
Machine learning to predict risk from chest radiographs and clinical factors Michael Lu The General Hospital Corporation d/b/a Massachusetts General Hospital PLCO Dec 19, 2017 PLCO-331
Incidence lung cancers after negative screening rounds: A retrospective review of CT findings and outcomes Jihang Kim Seoul National University Bundang Hospital NLST Dec 11, 2017 NLST-379
detecting, marking and classifying lung cancer in CT-Scans with deep learning algorithms Qasim Mohammad Independent NLST Dec 1, 2017 NLST-378
Automatic Lung Lesion Detection and Segmentation in CT Lin Yang University of Florida NLST Nov 29, 2017 NLST-377
A simulation modeling study examining the downstream effects of follow-up schedules for screen-detected nodules Chung Yin (Joey) Kong Massachusetts General Hospital PLCO Nov 27, 2017 PLCO-317
A genome-wide association study of lifecourse weight change Sonja Berndt National Cancer Institute PLCO Nov 27, 2017 PLCO-325
Deep learning on Screening Data Elliot Smith Maxwell MRI PLCO Nov 27, 2017 PLCO-328
Towards personalized cancer treatment with deep learning Francesco Ciompi Radboud University Medical Center PLCO Nov 24, 2017 PLCOI-323
Detection/Segmentation of lung cancer and more with deep learning Andy Song Medipixel NLST Nov 17, 2017 NLST-376
Computer-aided diagnosis system for lung-related pathology Aurélio Campilho INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência NLST Nov 15, 2017 NLST-375
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