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 |
|---|---|---|---|---|---|
| Statistical evaluation of diagnostic test under verification bias | Khanh To Duc | Department of Statistical Sciences, University of Padova, Padova, Italy | PLCO | Jan 18, 2018 | PLCO-337 |
| Risk analysis of prostate cancer occurrence based on PLCO data | Lukasz Markiewicz | Independent | PLCO | Jan 17, 2018 | PLCO-332 |
| Is the regular intake of tea (+/-added sugar) and broccoli (+/- other cruciferous vegetables) linked to the incidence of Prostate and breast Cancer? - An analysis of the PLCO cancer screening trial dataset | Robert Thomas | Bedford and Addenbrookes Cambridge University NHS Hospitals | PLCO | Jan 11, 2018 | PLCO-335 |
| Comprehensive Lung Cancer Assessment via Deep Learning | Qian Li | VoxelCloud, inc. | NLST | Jan 10, 2018 | NLST-386 |
| Automated Detection of Lung Cancer From LDCT | Warren Clarida | IDx LLC | NLST | Jan 8, 2018 | NLST-385 |
| A Comparison of Binary Classifiers Performance on Predicting Breast Cancer Diagnoses | Vanessa Gutierrez | Fordham University | PLCO | Jan 4, 2018 | PLCO-336 |
| Lung cancer prediction using artficial neural networks | Saudagar Barde | Smt kashibai navle college of engineering | PLCO | Jan 3, 2018 | PLCO-334 |
| Deep Learning at Chest Radiography and CT: Automated Detection and Diagnosis of Cancers. | Daiju Ueda | Department of Radiology and Interventional Radiology, Graduate School of Medicine, Osaka City University | NLST | Jan 2, 2018 | NLST-384 |
| 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 |