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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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1521-1540 of 2635
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 NLST Dec 29, 2017 NLST-383
Influence of accelerometer calibration approach on MVPA estimates for adults charles matthews NCI / DCEG / Metabolic Epidemiology Branch IDATA Dec 28, 2017 IDATA-19
Impact of Lung Cancer Screening on Lung Cancer Mortality in COPD Patients Juan Wisnivesky Icahn School of Medicine at Mount Sinai NLST Dec 26, 2017 NLST-380
Computerized Heart and Lung Disease Detection in Low-dose CT Images Pingkun Yan Rensselaer Polytechnic Institute NLST Dec 19, 2017 NLST-382
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