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 |
---|---|---|---|---|---|
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 |