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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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601-620 of 2638
Name Principal Investigator Institution Study Date Approved Project ID
Computer-Aided System for the Improvement of Nodule Detection and Characterization in Thoracic CT based on a novel vessel suppressed CT Volume Matthew Freedman Virginia Tech NLST Dec 23, 2014 NLST-106
Computer-Aided Treatment Effectiveness Assessment Based on Lung Cancer CT Screening Hsiao-Dong Chiang Cornell University NLST Sep 26, 2017 NLST-346
Computer assisted detection of abnormalities in chest CT scans Joel Pinto Nuance Communications NLST Sep 18, 2017 NLST-348
Computerized Early Diagnosis of Lung Cancer Mengjie Shen The University of Auckland NLST Jul 31, 2018 NLST-431
Computerized Heart and Lung Disease Detection in Low-dose CT Images Pingkun Yan Rensselaer Polytechnic Institute NLST Dec 19, 2017 NLST-382
Computerized image analysis of morphology, texture on H&E slides of colon cancer patients Anant Madabhushi Emory University PLCO Feb 16, 2022 PLCOI-917
Computer Tomography (CT) Scan image classification using Artificial Intelligence Manish Chaturvedi Pandit Deendayal Petroleum University NLST Nov 9, 2017 NLST-372
Computer Vision AI to Diagnose Lung Cancer from CT Images Peter Szoldan MedInnoScan Kft. NLST May 12, 2017 NLST-306
Computer Vision Applications for Medical Imaging Jameel Ghata University of Florida NLST Jan 29, 2016 NLST-189
Conceal-Reveal analysis Paul Pinsky NCI MINN Jun 20, 2023 MINN-4
Confirmed Lung Cancers, Stage IA and IB with No Surgery Recorded DE/TI Martin Oken University of Minnesota PLCO Jul 1, 2006 2006-0191
Considering explainability and privacy when developing machine learning models to predict early risk of cancer Christopher Duckworth University of Southampton PLCO Feb 20, 2025 PLCO-1837
Consumption of sugar, sugar-sweetened beverages and liver cancer Katherine McGlynn National Cancer Institute PLCO Sep 1, 2020 PLCO-664
Contextual influences on dietary behavior in older adults: How screen time, physical location, and social environment are associated with dietary intake Robert Korycinski National Cancer Institute IDATA Oct 19, 2016 IDATA-8
Continuation of the Breast and Prostate Cancer Cohort Consortium (BPC3): Contributions of the PLCO Cohort to Breast Cancer Studies Regina Ziegler NCI, DCEG, EBP PLCO May 27, 2008 2007-0261
Continued deep learning modeling for early detection Jeremy Howard University of San Francisco NLST Jan 25, 2017 NLST-274
Contribution of Inherited Risk to the Development of Ovarian Carcinoma in the PLCO Trial Barbara Norquist University of Washington PLCO Aug 12, 2019 2019-0022
Contribution to consortial activities for clarifying the etiology of male breast cancers Louise Brinton NCI, DCEG, HREB PLCO Jan 28, 2010 2008-0252
Convolutional Survival Machines: Deep Convolutional Networks for Survival Analysis with Time-Varying risks. Artur Dubrawski Carnegie Mellon University NLST Dec 21, 2020 NLST-738
Convolutional Survival Machines: Deep Convolutional Networks for Survival Analysis with Time-Varying risks. Artur Dubrawski Carnegie Mellon University PLCO Dec 21, 2020 PLCOI-706